PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Stroke. Author manuscript; available in PMC Sep 20, 2013.
Published in final edited form as:
PMCID: PMC3778669
NIHMSID: NIHMS509331
Vascular Contributions to Cognitive Impairment and Dementia
A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
Philip B. Gorelick, MD, MPH, FAHA, Co-Chair, Angelo Scuteri, MD, PhD, Co-Chair, Sandra E. Black, MD, FRCPC, FAHA,* Charles DeCarli, MD,* Steven M. Greenberg, MD, PhD, FAHA,* Costantino Iadecola, MD, FAHA,* Lenore J. Launer, MD,* Stephane Laurent, MD,* Oscar L. Lopez, MD,* David Nyenhuis, PhD, ABPP-Cn,* Ronald C. Petersen, MD, PhD,* Julie A. Schneider, MD, MS,* Christophe Tzourio, MD, PhD,* Donna K. Arnett, PhD, MSPH, FAHA, David A. Bennett, MD, Helena C. Chui, MD, FAHA, Randall T. Higashida, MD, FAHA, Ruth Lindquist, PhD, RN, ACNS-BC, FAHA, Peter M. Nilsson, MD, PhD, Gustavo C. Roman, MD, Frank W. Sellke, MD, FAHA, Sudha Seshadri, MD, and on behalf of the American Heart Association Stroke Council, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on Cardiovascular Radiology and Intervention, Council on Cardiovascular Surgery and Anesthesia
The American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. The Alzheimer's Association participated in the development of this statement to advance knowledge and understanding of the causes of dementia and the factors that contribute to its progression.
*Writing Group Section Leader.
To purchase additional reprints, call 843-216-2533 or ; kelle.ramsay/at/wolterskluwer.com.
Background and Purpose
This scientific statement provides an overview of the evidence on vascular contributions to cognitive impairment and dementia. Vascular contributions to cognitive impairment and dementia of later life are common. Definitions of vascular cognitive impairment (VCI), neuropathology, basic science and pathophysiological aspects, role of neuroimaging and vascular and other associated risk factors, and potential opportunities for prevention and treatment are reviewed. This statement serves as an overall guide for practitioners to gain a better understanding of VCI and dementia, prevention, and treatment.
Methods
Writing group members were nominated by the writing group co-chairs on the basis of their previous work in relevant topic areas and were approved by the American Heart Association Stroke Council Scientific Statement Oversight Committee, the Council on Epidemiology and Prevention, and the Manuscript Oversight Committee. The writing group used systematic literature reviews (primarily covering publications from 1990 to May 1, 2010), previously published guidelines, personal files, and expert opinion to summarize existing evidence, indicate gaps in current knowledge, and, when appropriate, formulate recommendations using standard American Heart Association criteria. All members of the writing group had the opportunity to comment on the recommendations and approved the final version of this document. After peer review by the American Heart Association, as well as review by the Stroke Council leadership, Council on Epidemiology and Prevention Council, and Scientific Statements Oversight Committee, the statement was approved by the American Heart Association Science Advisory and Coordinating Committee.
Results
The construct of VCI has been introduced to capture the entire spectrum of cognitive disorders associated with all forms of cerebral vascular brain injury—not solely stroke—ranging from mild cognitive impairment through fully developed dementia. Dysfunction of the neurovascular unit and mechanisms regulating cerebral blood flow are likely to be important components of the pathophysiological processes underlying VCI. Cerebral amyloid angiopathy is emerging as an important marker of risk for Alzheimer disease, microinfarction, microhemorrhage and macrohemorrhage of the brain, and VCI. The neuropathology of cognitive impairment in later life is often a mixture of Alzheimer disease and microvascular brain damage, which may overlap and synergize to heighten the risk of cognitive impairment. In this regard, magnetic resonance imaging and other neuroimaging techniques play an important role in the definition and detection of VCI and provide evidence that subcortical forms of VCI with white matter hyperintensities and small deep infarcts are common. In many cases, risk markers for VCI are the same as traditional risk factors for stroke. These risks may include but are not limited to atrial fibrillation, hypertension, diabetes mellitus, and hypercholesterolemia. Furthermore, these same vascular risk factors may be risk markers for Alzheimer disease. Carotid intimal-medial thickness and arterial stiffness are emerging as markers of arterial aging and may serve as risk markers for VCI. Currently, no specific treatments for VCI have been approved by the US Food and Drug Administration. However, detection and control of the traditional risk factors for stroke and cardiovascular disease may be effective in the prevention of VCI, even in older people.
Conclusions
Vascular contributions to cognitive impairment and dementia are important. Understanding of VCI has evolved substantially in recent years, based on preclinical, neuropathologic, neuroimaging, physiological, and epidemiological studies. Transdisciplinary, translational, and transactional approaches are recommended to further our understanding of this entity and to better characterize its neuropsychological profile. There is a need for prospective, quantitative, clinical-pathological-neuroimaging studies to improve knowledge of the pathological basis of neuroimaging change and the complex interplay between vascular and Alzheimer disease pathologies in the evolution of clinical VCI and Alzheimer disease. Long-term vascular risk marker interventional studies beginning as early as midlife may be required to prevent or postpone the onset of VCI and Alzheimer disease. Studies of intensive reduction of vascular risk factors in high-risk groups are another important avenue of research.
Keywords: AHA Scientific Statements, vascular dementia, Alzheimer disease, risk factors, prevention, treatment
As people live longer, the burden of cognitive impairment in society becomes increasingly important. Although Alzheimer disease is the most commonly diagnosed cause of cognitive dysfunction among the aged, cognitive impairment caused by vascular disease, including subclinical brain injury, silent brain infarction (SBI), and clinically overt stroke are important as independent causes and contributors to cognitive dysfunction. There are challenges in interpreting the literature because of nosology, criteria, and measurement issues, but the construct of vascular contributions to cognitive impairment and dementia is sufficiently important to merit a detailed review.
Our purpose in this scientific statement is to provide an overview of the evidence on vascular contributions to cognitive impairment and dementia. This statement also serves as an overall guide for practitioners to gain a better understanding of vascular cognitive impairment (VCI) and dementia, prevention, and treatment. Writing group members were nominated by the writing group cochairs on the basis of their previous work in relevant topic areas and were approved by the American Heart Association (AHA) Stroke Council Scientific Statement Oversight Committee, the Council on Epidemiology and Prevention, and the Manuscript Oversight Committee. The writing group used systematic literature reviews (primarily covering publications from 1990 to May 1, 2010), previously published guidelines, personal files, and expert opinion to summarize existing evidence, indicate gaps in current knowledge, and, when appropriate, formulate recommendations using standard AHA criteria (Table 1). All members of the writing group had the opportunity to comment on the recommendations and approved the final version of this document. The document also underwent extensive internal peer review by the AHA, as well as review by the Stroke Council leadership, Council on Epidemiology and Prevention Council, and Scientific Statements Oversight Committee, before receiving consideration and approval from the AHA Science Advisory and Coordinating Committee.
Table 1
Table 1
Applying Classification of Recommendations and Level of Evidence
In addition, for the clinical trials section, the writing group searched for the key words vascular cognitive functioning, impairment, and dementia in the Cochrane Reviews of Clinical Trials, Cumulative Index to Nursing and Allied Health Literature, AMED Virtual Library, PubMed, and Medline. Subject headings were combined with treatment, including specific therapies. Past guidelines and previous consensus conference proceedings were reviewed, and a search for evidence for nonpharmacological cognitive-enhancing remedies was conducted on the National Institutes of Health National Center for Complementary and Alternative Medicine Web site and the American College of Physi cians PIER (Physician's Information and Education Resource) and Elsevier MD Consult databases.
Some of the literature review was based on the expert panel's knowledge of the field and therefore may be subject to bias. Formal search strategies, however, were used as indicated for evaluation of clinical trial information.
The overall prevalence of dementia in affluent countries is 5% to 10% in people ≥65 years of age. The prevalence of Alzheimer disease doubles every 4.3 years, whereas the prevalence of vascular dementia (VaD) doubles every 5.3 years.1 VCI is also strongly age related.2 A recent report from Alzheimer's Disease International indicates that in low- to middle-income countries, the prevalence of dementia is lower in less affluent countries but is still very strongly related to age.3 Incidence rates are also quite variable and are age related. Age-adjusted rates for Alzheimer disease and VaD are 19.2 and 14.6, respectively, per 1000 person-years.4
A significant factor in interpreting the prevalence and incidence figures from Alzheimer disease and VaD pertains to the issue of diagnostic thresholds. Most older studies use the construct of VaD or multi-infarct dementia (MID) in estimating figures. More recently, the construct of VCI has been introduced to capture the entire spectrum of cognitive disorders ranging from mild cognitive impairment to fully developed dementia.5 As the threshold is expanded, the frequency rates increase accordingly. Growing awareness of the resultant societal burden underlines the need to identify, prevent, and treat overt and covert cerebral vascular brain injury as early as possible.6 The term VCI was proposed to embrace the spectrum of severity from prodrome (vascular cognitive impairment, no dementia [VCIND]) to full-blown manifestations of cognitive impairment, VaD, and the pathological spectrum from “pure” Alzheimer disease through degrees of vascular comorbidity, so-called mixed disease, to “pure” VaD.7 Importantly, consensus-based recommendations for standardized imaging, cognitive, and pathological protocols have been developed.5,8
In addition to the threshold issue, multiple sets of criteria exist for the constructs of VCI and VaD.9 For example, the more liberal criteria for VaD proposed by Hachinski et al result in large numbers, whereas the more conservative criteria such as those of the National Institute of Neurological Disorders and Stroke–Association Internationale pour la Recherché et l'Enseignement en Neurosciences (NINDS-AIREN) yield more modest rates.10,11 An additional factor affecting the estimates of frequency pertains to the role of neuroimaging. Many recent proposals for criteria incorporate neuroimaging as a factor, and this can have a significant influence on frequency figures. A further complicating issue involves the role of combinations of various underlying pathophysiologies. Some studies contend that mixed pathologies, including the degenerative components caused by Alzheimer disease and vascular factors, are the most common explanation for cognitive impairment in aging.12,13
Newly proposed criteria for the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (www.dsm5.org) may use another term closely aligned with dementia, such as major neurocognitive disorder. The predementia symptomatic stage similar to mild cognitive impairment may be termed mild neurocognitive disorder. Memory loss is still a prominent feature of the syndromes in the Alzheimer disease spectrum but is not required for the mild and major diagnoses, because impairment in any cognitive domain, including executive function, is sufficient. Use by clinicians and overall impact, however, remain to be seen.
Meanwhile, population magnetic resonance imaging (MRI) studies have revealed the high prevalence of covert small-vessel disease in the elderly population (23% for silent lacunes14 and 95% for incidental hyperintensities15) associated with increased risk for stroke and dementia. Population-autopsy series verified the high frequency and pathogenetic importance of combined Alzheimer disease and vascular disease in the expression of dementia as mentioned previously.16,17
From the pathological perspective, there is dispute about the role of various types of vascular lesions that contribute to cognitive impairment, including those of the formerly used term MID, large cortical infarcts, lacunar infarcts, subcortical white matter disease, strategically placed subcortical infarcts, or a combination of these. Furthermore, vascular lesions can lower the threshold for the clinical manifestation of Alzheimer disease.16,18 Finally, there is pathological and clinical evidence for cholinergic compromise in both Alzheimer disease and VCI, and cholinesterase inhibitors have been tested for both disorders in clinical trials.
The overall situation is complex yet vitally important if we are to understand, diagnose, and ultimately prevent and treat cognitive impairment caused by vascular disease. The present statement covers the current state of the field with respect to the definitions of Alzheimer disease and VCI, the basic pathophysiological underlying nature of VCI, challenges in defining vascular effects neuropathologically, and the role of neuroimaging in defining clinical presentation and course. In addition, midlife and late-life risk factors are discussed and clinical trials reviewed. Finally, recommendations for the prevention and treatment of VCI are made and directions for the future described.
In this statement, we favor the use of the term VCI as defined below to represent the spectrum of cognitive impairment associated with frank stroke, vascular brain injury, or subclinical disease ranging from the least severe to the most severe clinical manifestations. The latter end of the cognitive severity spectrum of VCI has been referred to traditionally as VaD. The reader must keep in mind, however, that the definition of cognitive impairment associated with stroke or vascular brain disease has changed over time, and within individual sections of this statement, terms such as VaD, MID, poststroke dementia, or others may be used in accordance with the original source citations used to discuss key points in relation to the disorder.
2.1. Evolution of the Terminology
There has been significant evolution of the terminology to characterize the cognitive syndrome associated with risk factors for cerebrovascular disease and its manifestations, especially the description of dementia. Approximately 30 years ago, the term MID11 was used to identify patients who developed dementia after multiple strokes, although it was also used for patients with a single vascular insult. More recently, the term VaD has been used, regardless of the pathogenesis of the vascular lesion—ischemic or hemorrhagic or single or multiple infarct(s).10,19,20
Cerebrovascular disease can also cause mild cognitive deficits that can affect multiple cognitive functions, and some authors have proposed the term vascular mild cognitive impairment (VaMCI).21,22 This is the “vascular” equivalent of mild cognitive impairment (MCI) commonly used to identify subjects in the transition from normalcy to Alzheimer disease.23 By extension, VCI encompasses all the cognitive disorders associated with cerebrovascular disease, from frank dementia to mild cognitive deficits. Simply put, VCI is a syndrome with evidence of clinical stroke or subclinical vascular brain injury and cognitive impairment affecting at least 1 cognitive domain. The most severe form of VCI is VaD.
2.2. Clinical Criteria for the Diagnosis of VaD
The diagnostic criteria for VaD have been particularly important not only as diagnostic tools in clinical practice but also to establish prevalence and incidence in population studies, determine risk factors, and recruit homogenous cohorts for drug trials. The Diagnostic and Statistical Manual of Mental Disorders24 and the International Classification of Diseases25 provide criteria used for administrative purposes and tracking disease. In some cases there is low accuracy when these criteria are adopted as diagnostic criteria. The NINDS–AIREN10 and State of California Alzheimer's Disease Diagnostic and Treatment Centers19 criteria for VaD are used in research as diagnostic instruments that operationalize specific signs and symptoms of the VaD syndrome. More recently, clinical criteria have been proposed to capture subcortical VaD syndromes.20
To date, all diagnostic criteria to characterize cognitive syndromes associated with vascular disease should be based on 2 factors: demonstration of the presence of a cognitive disorder (dementia or VaMCI) by neuropsychological testing and history of clinical stroke or presence of vascular disease by neuroimaging that suggests a link between the cognitive disorder and vascular disease. There is substantial variability in the approach to these 2 core issues, however. We provide a practical approach to the classification of dementia and VaMCI (Table 2) and propose that the term VCI be used for all forms of cognitive disorder associated with cerebrovascular disease, regardless of the pathogenesis (eg, cardioembolic, atherosclerotic, ischemic, hemorrhagic, or genetic).
Table 2
Table 2
Vascular Cognitive Impairment
All of the major criteria for VaD have a different definition of dementia, and this results in challenges in reliability studies.26 Dementia criteria based on memory deficits are derived from concepts proposed for Alzheimer disease, but these may not be suitable for the dementia syndrome associated with cerebrovascular disease, in which memory-related structures (eg, mesial temporal lobe, thalamus) could be intact, resulting in relatively preserved memory functions.27,28 Thus, a memory deficit should not be required for the diagnosis of VCI or VaD.29
The second critical clinical feature of VaD is determining the relationship of cerebrovascular disease to the cognitive symptoms. To appropriately diagnose VaD, it is critical to identify the presence of cortical or subcortical infarcts or other stroke lesions with neuroimaging, and these should be associated with clinical symptomatology. It may also be important to consider the source of the cardiac or vascular pathology that underlies the cerebrovascular disease associated with VCI to provide more specific clinicopathologic relationships. Although some authors propose that the symptoms should appear within 3 months after a stroke,30 this is arbitrary, and symptoms may develop after this time frame. In addition, there are patients who have not had a clinical stroke, and severe cerebrovascular disease is evident only in neuroradiological studies.31,32 Finally, the presence of white matter lesions (WMLs) or leukoaraiosis (rarefaction of the white matter thought to be secondary to small-vessel occlusive disease) is critical for the diagnosis of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL),33 a genetic form of VaD in relatively young people. However, WMLs also occur in older subjects and patients with Alzheimer disease in epidemiological studies.34 Therefore, although the presence of WMLs has less diagnostic value in the elderly, WMLs could be the only neuroimaging finding in younger people with cognitive deficits secondary to cerebrovascular disease. For example, WMLs with or without infarcts are associated with cognitive deficits and neuropsychiatric disorders in patients with autoimmune disorders (eg, systemic lupus erythematosus, Sjögren disease).35,36
2.3. Heterogeneity of the VaD Syndrome
VaD can coexist with multiple cerebral and systemic disorders that can affect cognition in the elderly, especially Alzheimer disease. Therefore, it is often difficult to determine whether the cognitive deterioration is solely a consequence of vascular factors or underlying Alzheimer disease.37 Several studies have found that in patients with Alzheimer disease and cerebrovascular disease, less Alzheimer disease pathology is needed to express the dementia syndrome.16,18 This synergistic effect between Alzheimer disease and cerebrovascular disease pathology may explain why patients with mesial temporal lobe atrophy, presumably attributable to Alzheimer disease, have an increased risk of dementia after stroke compared with those without atrophy, because hippocampal atrophy may also be caused by vascular disease.38,39 This is the most difficult aspect of the clinical characterization of VaD, because the Alzheimer disease clinical syndrome can begin after a stroke, or patients with Alzheimer disease symptomatology can have strokes during the course of the disease. The present statement proposes to use the term probable to characterize the most “pure” forms of VaD and the term possible when the certainty of the diagnosis is diminished or the vascular syndrome is associated with another disease process that can cause cognitive deficits. Future studies using specific ligands for amyloid may help clarify the dynamic relationship between Alzheimer disease and VaD.
We now shift our focus from VaD to less severe forms of VCI.
2.4. Mild VCI
The term amnestic MCI has been used to identify people at risk for Alzheimer disease. Although initially the term MCI applied solely to amnestic forms of the syndrome,23 further studies found that these subjects had deficits in multiple cognitive domains.40,41 Therefore, the current nomenclature for MCI is much broader and includes amnestic MCI, amnestic MCI plus other cognitive deficit, nonamnestic single domain, and nonamnestic multiple domains.42 Because epidemiological studies detected executive deficits in subjects with subcortical vascular pathology,43 it was recommended that VaMCI should be characterized by deficits in executive functions as memory could be normal.21 However, clinical studies have shown that subjects with VaMCI can present with a broader cognitive impairment, which can also include memory deficits.22 These definitions are primarily applied in research studies but may provide an initial useful platform for classifying patients in practice.
2.5. Reversibility of VaMCI
Several studies have shown that patients with MCI can return to normal cognition. These people have multiple disease processes that may improve with or without specific treatments, such as depression, heart failure, or autoimmune disorders.4446
Cerebrovascular disease with or without clinical strokes can be associated with depression.47,48 This raises an important issue for VaMCI, because these behaviors (depression or depressive symptoms) can severely influence patients’ activities of daily living and cognitive performance, although some symptoms can revert with treatment (eg, depression), and consequently cognition can improve. This means that there may be a “reversibility” component in VaMCI.47,48 An added component of VaMCI is poststroke recovery. Patients who are seen soon after stroke may show cognitive impairment. In some of these patients, cognition may improve as part of the stroke recovery process.
2.6. Neuropsychological Assessments of VCI
The 2006 NINDS–Canadian Stroke Council VCI harmonization standards suggested different neuropsychological protocols for use in patients with suspected VCI.5 Detailed discussion of these protocols is beyond the scope of this statement, and the reader is referred to the source reference by Hachinski et al5 for suggestions for cognitive batteries that may be applied in practice.
The neuropsychological assessment of patients with suspected VCI requires a comprehensive cognitive battery. Executive function has long been considered a salient feature of the disorder and should be included in the neuropsychological battery.21 Operational definitions of cognitive impairment (eg, performance 1 or 1.5 standard deviations below that of an appropriate comparison group) are preferred over qualitative descriptions of cognitive symptoms.
Attempts to use neuropsychological assessment to differentiate Alzheimer disease from VCI have met with mixed success. Executive dysfunction has not been shown to specifically point to cerebrovascular disease, whereas a pattern of memory deficits may be associated more with Alzheimer disease and its associated pathology than with cerebrovascular disease.49,50 This research area is complicated by the difficulty of clinically differentiating Alzheimer disease or VCI from mixed (Alzheimer disease plus cerebrovascular disease) disease, which may be more common than either “pure” Alzheimer disease or “pure” VCI.9 In addition, the heterogeneity of cerebrovascular disease (eg, strokes that differ in location, size, and number) works against a single, unifying neurocognitive pattern of deficits in VCI.
2.7. Summary
Traditionally, terms such as MID or VaD have been used in the classification of cognitive impairment associated with stroke. With newer research classification systems, the term VCI is now preferred. VCI represents a syndrome taking into account the spectrum of cognitive severity, which often includes executive dysfunction and the various types of brain vascular disease that could underlie cognitive symptoms, including subclinical vascular brain injury. The most severe form of VCI is VaD, and new subtypes with milder cognitive symptoms (eg, VaMCI) are being defined. The use of the VCI classification system may prove to be useful for clinicians in practice as they consider pathogenesis and ultimately prevention and treatment of the patient with cognitive impairment. A key to defining the spectrum of VCI is neuropsychological testing, bedside or office clinical examination, and neuroimaging (Table 2).
For decades it has been recognized that cerebrovascular disease is associated with dementia,11,51 yet defining the pathology underlying VCI has remained elusive.2,5,52 There are many complexities. For instance, infarcts vary in size, number, and location; occur commonly in older people with and without dementia13,39,5356; often are not associated with clinical stroke2,39,51,53; and typically are accompanied by Alzheimer disease and other pathologies.12,13,16,17,5457 Many of these obstacles can be navigated by studying people with and without dementia from community-based cohort studies, with clinical data proximate to death, and quantitative measurements of vascular and Alzheimer disease pathologies. Such studies12,13,16,17,39,5357 are accumulating and provide new insights into the pathological substrates of VCI and dementia and the importance of vascular pathology or brain injury.
3.1. Cerebral Infarctions Are Very Common in Older People
The most important cerebrovascular pathology that contributes to cognitive impairment is cerebral infarcts. Cerebral infarcts are discrete regions of tissue loss observed by the naked eye (macroscopic) or under the microscope (microscopic). Clinical-pathological studies typically focus on chronic (old) infarcts because cognitive evaluations are often performed months before death; the trajectory of cognitive impairment from a recent infarct may be difficult to ascertain; and recent infarcts may be related to perimortem factors. Chronic macroscopic infarcts are very common, occurring in approximately one third to one half of older people,13,5456 a frequency far greater than the frequency of clinical stroke. In some community-based studies, microscopic infarcts are more common than macroscopic infarcts.13,56 In 1 study,55 the inclusion of other measures of vascular pathology such as microscopic infarcts, small-vessel disease, and white matter changes increased the frequency of cerebrovascular disease in older people to >75%.
3.2. Cerebral Infarctions and VCI
In clinical-pathological studies, larger volumes39,51 and an increased number11,13,39,55,56 of macroscopic infarcts are as sociated with an increased likelihood of dementia. However, determining the volume or number necessary for VCI or dementia has proved difficult, and unlike with Alzheimer disease and other neurodegenerative diseases, there are no currently accepted neuropathological criteria to confirm a clinical diagnosis of VCI. Indeed, although Tomlinson et al described 100 mL of tissue loss as sufficient for dementia, those with lesser volumes of loss also had dementia.51 Studies have generally shown an inconsistent relation between volume and number of infarcts and cognitive impairment.13,58 Some of these inconsistencies may relate to infarct location. Regions such as the thalamus, angular gyrus, and basal ganglia may be more likely than other regions to result in cognitive impairment.2,58,59 However, regional factors have not been clearly defined, and diverse cortical13,39,56 and subcortical13,16,58,59 regional infarcts have been related to dementia.
Further challenging these relationships, some studies suggest that multiple microscopic infarcts are related to dementia, even after accounting for macroscopic infarcts.13,56 Multiple microscopic infarcts may denote a more generalized phenomenon such as diffuse hypoxia, inflammation, oxidative stress, or disruption in the blood-brain barrier (BBB). Other factors governing whether infarcts are related to impairment may include variance in cognitive reserve60 and coexisting pathologies.
3.3. Relation of Infarcts to Alzheimer Disease Pathology and Dementia
Infarcts frequently coexist with Alzheimer disease pathology in the brains of older people.12,13,16,17,5457 In addition, most people with dementia12 and almost half of those with clinically probable Alzheimer disease61 have mixed pathology, most commonly Alzheimer disease and infarcts. Although there are no pathological criteria to confirm mixed dementia, studies show that infarcts in a brain with Alzheimer disease pathology are not innocuous. One study showed that only people with Alzheimer disease pathology with subcortical infarcts had dementia, raising the possibility of an interaction (a multiplicative effect) between the 2 pathologies.16 Although the specific importance of subcortical infarcts and interaction has not been confirmed, subsequent studies have established that infarcts are additive with Alzheimer disease pathology in lowering cognitive function17,57 and increasing the odds of dementia17,18,62,63 or clinical Alzheimer disease.61 Moreover, disturbances of episodic memory, considered the hallmark of Alzheimer disease, are associated with infarcts even after accounting for Alzheimer disease pathology.17,59
There are multiple implications. First, because they are often clinically unrecognized, the public health importance of infarcts and their role in dementia is likely underestimated. Second, risk factors for infarcts may be erroneously linked to the episodic memory and classic phenotype of clinical Alzheimer disease. Third, prevention and therapies that decrease cerebral infarcts are likely to lower the prevalence of clinically diagnosed dementia.
3.4. Relation of Infarcts to Alzheimer Disease Pathology and MCI
Few studies have examined the pathological basis of MCI.53,61,6469 Alzheimer disease has been found to be the most common pathology,61,65,66,69 but mixed pathologies are also common.61,6569 In 1 study the frequency of pure infarct and mixed Alzheimer disease and infarct pathology was comparable to the frequency of pure Alzheimer disease pathology in both amnestic and nonamnestic MCI.61 Thus, assuming the underlying neuropathological substrate of amnestic MCI is pure Alzheimer disease pathology rather than vascular or mixed pathology, the role of vascular pathology may be underestimated.
3.5. Other Vascular Pathologies
There are other common vascular pathologies in the brains of older people, including white matter degeneration70,71 and primary vessel disease (ie, arteriolosclerosis/lipohyalinosis, atherosclerosis, and cerebral amyloid angiopathy [CAA]).70,72,73 Cerebral microbleeds, visualized by new imaging techniques, also appear to be a common vascular abnormality.7477 White matter degeneration and microbleeds most likely reflect direct tissue damage,71,7880 whereas primary vessel disease may be associated with focal (eg, infarct) or diffuse tissue damage (eg, white matter degeneration) or may result in nonmorphologic functional changes. Although neuroimaging studies70,76,77,81 suggest a role for white matter degeneration and microbleeds in cognitive impairment, it is currently unclear whether these additional pathologies represent separate pathological substrates for VCI. In some studies, neuropathological measurements of WMLs have not been clearly associated with cognitive function unless as part of a combined vascular score that also includes infarcts.52 Quantitative studies of multiple vascular pathologies in older people with and without dementia with clinical evaluation proximate to death are needed to determine the separate roles of these vascular pathologies in VCI and other dementias.
3.6. Neuroimaging and Pathology: Future Directions
Neuroimaging studies provide an excellent tool for identifying many types of vascular pathologies in older people through accurate determination of brain anatomy by high-resolution T1 but also tissue changes that can be quantified by fluid-attenuated inversion recovery, diffusion tensor, magnetization transfer, and even neurochemical changes with hydrogen spectroscopy. However, postmortem evaluations continue to complement neuroimaging studies in several important ways. First, neuroimaging detects macroscopic infarcts, ≈3 mm or more in size, but microscopic infarcts and small-vessel disease (eg, arteriolosclerosis) are currently not within the resolution of most scans. Second, some vascular pathologies may represent either vascular or degenerative processes. For instance, neuroimaging studies have shown that white matter degeneration, as measured by both fluid-attenuated inversion recovery and diffusion tensor imaging, and microbleeds are associated with both VCI and clinical Alzheimer disease,70,72,76,77,81 and pathological studies demonstrate white matter degeneration and microbleeds are related to lipohyalinosis.58,70,79,80 In addition, though, white matter degeneration is related to Alzheimer disease pathology78 and microbleeds to CAA. Hippocampal volume visualized on antemortem neuroimaging may also be related to either Alzheimer disease or vascular pathology,82 and pathological studies show that the hippocampus can atrophy as part of both degenerative or vascular processes.83 Thus, white matter degeneration and microbleeds on MRI often considered specific for vascular disease may signify degenerative pathology, although recent pathological studies show no relationship between WMLs as measured by MRI and Alzheimer disease neuropathology,82 whereas hippocampal volume loss, often considered a specific biomarker for early Alzheimer disease,84 may reflect vascular pathology. These data emphasize the need for prospective quantitative clinical-pathological-neuroimaging studies to fully understand the pathological bases of neuroimaging change. Furthermore, they highlight the complex interplay between vascular and Alzheimer disease pathologies in the evolution of VCI, dementia, and clinical Alzheimer disease.
3.7. Summary
The interplay between macroscopic and microscopic infarcts and other vascular and degenerative pathologies in the development of clinical Alzheimer disease and VCI is complex. Vascular and degenerative pathologies are 2 common disorders in later life and often coexist, and each separately adds to the likelihood of cognitive impairment and dementia. In addition, vascular and degenerative pathologies may result in overlapping clinical and imaging phenotypes. Longitudinal clinical-pathological-neuroimaging studies hold promise to help us better understand the pathophysiology and phenotypes of these common disorders of cognition in later life, which may lead to improved prevention and treatment strategies.
Neurons, glia, and perivascular and vascular cells, collectively termed the neurovascular unit, are structurally, functionally, and developmentally interrelated and work in concert to maintain the homeostasis of the cerebral microenvironment.85 Alterations in neurovascular function are involved in the pathogenesis of VCI.
4.1. The Neurovascular Unit and Brain Homeostasis
The brain depends on a continuous blood supply, and interruption of cerebral blood flow (CBF) leads to brain dysfunction and death.86 Consequently, sophisticated cerebrovascular control mechanisms ensure that the brain's blood supply is well matched to its energy requirements.87 Thus, neural activity induces a powerful increase in CBF (functional hyperemia) that is thought to deliver energy substrates and remove toxic byproducts of brain activity.88
Cerebrovascular autoregulation keeps CBF relatively constant within a range of blood pressures, protecting the brain from unwanted swings in perfusion pressure.89 Specialized receptors on endothelial cells transduce mechanical (shear stress) and chemical stimuli and release potent signaling molecules such as nitric oxide, endothelin, and prostanoids.90 These endothelial mediators subserve functions as varied as local flow distribution,91 immune surveillance (in concert with perivascular cells),92 and hemostatic balance.93
The tight junctions between cerebral endothelial cells, coupled with highly specialized membrane transporters, regulate the trafficking of molecules between blood and brain, which is at the basis of the BBB.94 Conversely, transporters on the abluminal side of the vessels remove metabolic byproducts from the brain, including amyloid beta (Aβ).95 Endothelial cells exert trophic actions that are critical in brain development, neuroplasticity, and repair when endothelial growth factors orchestrate the migration and differentiation of neuroblasts.9699
4.2. The Neurovascular Unit: A Target of Vascular and Neurodegenerative Dementias
The neurovascular unit is profoundly disrupted in VCI and Alzheimer disease.95,100103 The present section will focus on the microvascular changes associated with cerebrovascular disease and neurodegeneration. The alterations that occur in the structure and function of large cerebral arteries are discussed elsewhere in this statement. VCI and Alzheimer disease are associated with marked alterations in cerebral microvascular structure.104,105 Microvessels have thickened basement membranes, become tortuous, and are reduced in number.71,105107 Arterioles exhibit signs of “onion skin”–type changes and undergo hyaline degeneration (lipohyalinosis), a cause of microhemorrhages.105 In the vulnerable periventricular white matter, reactive astrocytosis and microglial activation are associated with expression of hypoxia-inducible genes, suggesting local hypoxia.71,108
As examined in the next section, in Alzheimer disease and CAA, accumulation of Aβ in the media of cortical arterioles weakens the vessel wall and increases the chance of lobar hemorrhages.109 In animal models, the major risk factors for VCI and Alzheimer disease —hypertension, aging, and diabetes110—impair endothelium-dependent responses in the cerebral microcirculation and blunt functional hyper-emia.101,111,112 Aβ is a potent vasoconstrictor113,114 and suppresses endothelium-dependent responses, functional hyperemia, and cerebrovascular autoregulation.115117 Cerebral smooth muscle cells of patients with Alzheimer disease have increased constrictor tone,118 which may contribute to the CBF reduction observed in this condition.100
4.3. Mechanisms of Neurovascular Dysfunction: Role of Oxidative Stress and Inflammation
Vascular oxidative stress and inflammation are key pathogenic factors in neurovascular dysfunction.101,119121 Experimental studies suggest that radicals produced by the enzyme nicotinamide adenine dinucleotide phosphate oxidase are responsible for the cerebrovascular alterations induced by VCI risk factors and Aβ.112,122124 Although free radicals can induce inflammation by activating redox-sensitive proinflammatory transcription factors, the endothelial dysfunction induced by oxidative stress can release vascular endothelial growth factor and prostanoids, which promote vascular leakage, protein extravasation, and cytokine production.125 Inflammation, in turn, enhances oxidative stress by upregulating the expression of reactive oxygen species–producing enzymes and downregulating antioxidant defenses.126
White matter BBB alterations are early findings in VCI.127 In models of autoimmune white matter injury, extravasation of plasma protein triggers vascular inflammation and axonal demyelination,127 which in turn disrupts saltatory conduction,128 slowing the transmission of nerve impulses. In addition, loss of energy-saving saltatory conduction increases metabolic demands and enhances local energy deficit and hypoxia.128 A similar process may contribute to the WMLs observed in Alzheimer disease and VCI, which play a prominent role in the expression of dementia.110
In addition, the low-density lipoprotein receptor–related protein-1, a critical Aβ brain clearance receptor, is downregulated in cerebral blood vessels of patients with Alzheimer disease, leading to accumulation of amyloid around blood vessels and worsening of vascular dysfunction.129 Plasma Aβ, which is elevated in some patients with VCI and Alzheimer disease, induces cerebrovascular insufficiency and could play a role in the white matter alterations observed in both conditions.130,131 Vascular oxidative stress and inflammation impede the proliferation, migration, and differentiation of oligodendrocyte progenitor cells and compromise repair of the damaged white matter.108,132,133 Furthermore, loss of growth factors, such as the brain-derived neurotrophic factor,96 may contribute to the brain atrophy associated with Alzheimer disease and VCI.134,135
4.4. Animal Models of VCI
Although there are relatively few animal models of cognitive impairment and white matter damage, models recapitulating features of CAA, CADASIL, cerebral hypoperfusion, and hypertensive vasculopathy have been developed, mainly in rodents.5 However, it has proved difficult to reproducibly induce white matter damage and behavioral dysfunction by lowering CBF in a spatial-temporal pattern consistent with the human disease. Furthermore, little has been learned about the effects of BBB alterations and microvascular inflammation on the structure and function of white matter. Rodent models, although well suited to genetic manipulations and large-scale studies, can be problematic because of their small amount of white matter and limited behavioral repertoire. Models in higher-order species would be desirable because of the more complex behaviors and extensive white matter pathology that can be explored. Studies using these models to investigate the effects of CBF, microvascular inflammation, and BBB alterations on white matter and behavior should be a priority for the field.
4.5. Summary
  • There is increasing evidence that alterations in neurovascular function play a key role not only in the pathobiology of VCI but also in Alzheimer disease.
  • The neurovascular unit is a major target of the deleterious effects of vascular risk factors promoting VCI and Alzheimer disease and of Aβ.
  • Neurovascular dysfunction increases the brain's susceptibility to injury by (a) altering regulation of the cerebral blood supply, (b) disrupting BBB function, and (c) reducing the trophic support and repair potential of the injured brain.
  • Vascular oxidative stress and inflammation underlie many of these deleterious effects and are potential therapeutic targets.
  • Therapies that enhance regenerative and reparative phenomena may also be beneficial, but our understanding is still limited and requires further inquiry. Use of viable animal models to explore the factors linking CBF, microvascular inflammation, and BBB dysfunction to white matter damage and behavioral deficits can provide mechanistic and therapeutic insights, and the development of these models should be eagerly pursued. In the absence of mechanism-based therapies to treat vascular and neurodegenerative dementia, approaches aimed at maintaining cerebrovascular health by controlling vascular risk factors are anticipated to be extremely valuable.
5.1. Cerebral Amyloid Angiopathy and Vascular Effects of Aβ
Deposition of Aβ peptide in the walls of penetrating arterioles and capillaries of the leptomeninges and cortex is the hallmark of sporadic CAA, a common pathology in the elderly. CAA appears in ≈10% to 30% of unselected brain autopsies and 80% to 100% when in the presence of accompanying Alzheimer disease.136 Advanced CAA can trigger a series of destructive changes in the vessel wall, including loss of smooth muscle cells, development of microaneurysms, and concentric splitting and fibrinoid necrosis of the vessel wall and perivascular leakage of red blood cells.137139
Although CAA is most commonly recognized as a cause of spontaneous intracerebral hemorrhage, there is growing evidence that it is an important contributor to age-related cognitive impairment as well. Population-based clinical-pathological studies have identified associations between advanced CAA and worse cognitive performance, and these associations remain independent after controlling for severity of Alzheimer disease pathology.55,140,141 The precise pathogenic mechanisms responsible for this association have not been established. Possible explanations include radiographic lesions seen in advanced CAA, such as microbleeds,142 microinfarcts,143146 WMLs on computed tomography or MRI,147,148 and altered fractional anisotropy or mean diffusivity on diffusion tensor MRI.149 CAA can also trigger vascular or perivascular inflammation,150,151 manifesting as vasogenic edema of subcortical white matter and more rapidly progressive cognitive decline.152
In the absence of direct neuropathological assessment, CAA is most commonly diagnosed by the detection of hemorrhages confined to cortical or cortico-subcortical (“lobar”) brain regions. The presence of multiple strictly lobar hemorrhages in the absence of other definite causes such as head trauma, brain tumor, or supratherapeutic anticoagulation has been defined by the Boston criteria as “probable CAA” and validated against neuropathologically or genetically diagnosed CAA.153,154 T2*-weighted gradient-echo MRI sequences provide substantially increased sensitivity for detection of cerebral microbleeds and are key to the diagnosis of probable CAA. Other potential diagnostic approaches have been explored, including detection of reduced Aβ in cerebrospinal fluid155 or increased retention of the amyloid ligand Pittsburgh Compound B on positron emission tomography imaging.156,157 Pittsburgh Compound B retention is not specific for CAA as opposed to Alzheimer disease, because the compound binds to both vascular and parenchymal amyloid158; however, the 2 pathologies may be distinguishable in part by the relative occipital predominance of labeling in CAA.156,157
No treatments have been identified to successfully prevent or slow cognitive impairment caused by noninflammatory CAA. A recent study found an association between coincident hypertension and larger volumes of WMLs in patients with CAA,159 raising the intriguing (but unproven) possibility that blood pressure control may be beneficial. For the subset of patients with CAA-related inflammation, treatment with a course of high-dose corticosteroids or cyclophosphamide has been reported to cause clinical and radiological improvement.152
Beyond the effects of Aβ deposits in CAA, soluble Aβ itself may also trigger altered vascular reactivity and brain injury. As discussed in the previous section, evidence for this possibility comes from animal models in which exogenously applied or genetically overexpressed Aβ production diminished vasodilation to pharmacological or physiological stimuli, even in the absence of vascular Aβ deposits.115,160,161 Because Aβ concentration may be manipulated via direct160 or indirect162 metabolic pathways, these experiments raise the intriguing possibility that Aβ-induced vascular dysfunction might prove treatable. This possibility, however, has not been tested in human studies.
5.2. Hereditary Small-Vessel Syndromes
The most commonly encountered hereditary cause of VCI is CADASIL. This disorder can present clinically as migraines with aura, mood disturbances, recurrent strokes, or cognitive impairment163 and radiographically by the appearance of extensive WMLs, lacunar infarcts, microbleeds, and brain atrophy.164 Nearly all cases of CADASIL are caused by missense mutations of the Notch3 gene that either create or eliminate cysteine residues.165 Identification of such mutations, which can also occur de novo in sporadic cases of CADASIL,166,167 has become the primary method of diagnosis. Most CADASIL patients also appear to demonstrate characteristic ultrastructural changes in skin and muscle vessels, in particular the deposition of granular osmiophilic material in the arteriolar media.168170 Although no treatments have been identified to modify the course of CADASIL, it is notable that cardiovascular risk factors such as hypertension, elevated hemoglobin A1c, and smoking may be associated with a worse clinical and radiographic phenotype.171,172
Other hereditary small-vessel syndromes of the brain are rare and have generally not been reported as causes of sporadic disease via de novo mutation. These syndromes include familial CAA caused by mutations or duplications of the APP β-amyloid precursor protein gene,173175 autosomal dominant retinal vasculopathy with cerebral leukodystrophy caused by frameshift deletions in the exonuclease TREX1,176 and cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy caused by missense or nonsense mutations of the transforming growth factor-β1 repressor HTRA1.177 Mutations of the COL4A1 type IV collagen subunit gene have also been reported in association with congenital porencephaly, leukoencephalopathy, or intracerebral hemorrhage.178,179 Of note, a single nucleotide polymorphism in the COL4A1 gene was associated with pulse wave velocity, an index of arterial stiffness, in a population.180
5.3. Summary
CAA appears to be a relatively common and important contributor to age-related small-vessel dysfunction and VCI. Diagnostic approaches to CAA (and to CADASIL, the most common form of hereditary small-vessel disease) have improved, but no disease-modifying therapies have been identified. Coexisting vascular risk factors such as hypertension, diabetes, and smoking may worsen the effects of CAA and CADASIL and are therefore plausible targets for treatment.
5.4. Recommendations
  • It is reasonable to use MRI with T2*-weighted gradient-echo sequences in patients with progressive cognitive impairment for detection of the multiple strictly lobar hemorrhagic lesions characteristic of probable CAA (Class IIa; Level of Evidence B).
  • It is reasonable to perform genetic testing for cysteine-altering mutations in Notch3 in patients with progressive cognitive impairment, characteristic imaging findings, and a family history suggestive of autosomal dominant inheritance (Class IIa; Level of Evidence A).
  • Notch3 testing may also be considered in sporadic patients with suggestive clinical and imaging findings, particularly in the absence of strong cardiovascular risk factors (Class IIb; Level of Evidence B).
  • If genetic testing is either unavailable or demonstrates Notch3 mutations of unclear significance, ultrastructural examination of skin or muscle biopsy specimen for granular osmiophilic deposits may be considered as an alternative or complementary procedure (Class IIb; Level of Evidence B).
  • In suspected CAA or CADASIL, treatment of cardiovascular risk factors is reasonable (Class IIa; Level of Evidence C).
  • Patients with subacute cognitive decline and evidence of CAA-related inflammation should be treated with a course of immunosuppressive therapy such as corticosteroids or cyclophosphamide (Class I; Level of Evidence B).
Vascular aging is well exemplified by the strong relationship between age and changes in large-artery structure and function.181 Several arterial parameters have been selected for clinical investigation, based on the feasibility and repeatability of their measurement and their predictive value of cardiovascular events.182 They include carotid wall thickening and aortic stiffening, which also likely reflect atherosclerosis and arteriosclerosis, respectively. Recently a large number of studies have reported strong relationships between indices of vascular aging and either cognitive impairment or silent cerebral small-vessel disease. That these relationships were independent of age and classic cardiovascular risk factors suggests common pathophysiological mechanisms linking large-artery damage to cerebral small-vessel disease.
6.1. Carotid Intima-Media Thickness and VCI
Although a number of disease states can lead to vessel wall thickening,143 cyclic vessel distention in normal aging (ie, beat-to-beat change in vessel diameter in response to the pulsatility of blood pressure) is thought to cause fragmentation and depletion of elastin and increased collagen deposition, resulting in a nearly 3-fold increase in intima-media thickness (IMT) between the ages of 20 and 90 years.145 The lumen-intima and media-adventitia separation can be determined to within ≈0.1 mm on longitudinal B-mode ultrasound images of the extracranial carotid arteries where these interfaces are readily apparent.183,184
The relationship between carotid IMT and cognitive function has been analyzed cross-sectionally185,186 and longitudinally187189 in few studies. The studies were heterogeneous for the study population (small groups, sex composition, healthy subjects or affected by Alzheimer-type dementia), the definition of carotid IMT (mean of left and right common carotid artery, IMT at bifurcation, sum of IMT at multiple carotid sites), and the neuropsychological test adopted to evaluate cognition (single or repeated measures of the Mini Mental State Examination [MMSE], a neuropsychological battery with specific tests for different cognitive domains). Despite this heterogeneity, a significant inverse relationship between carotid IMT and cognitive function was observed in all studies. Specifically, the thicker the artery, the lower the cognitive performance. This relationship was significant after controlling for age and education; some studies further adjusted for the presence of depressive symptoms187,189 and/or cardiovascular risk factor level.189
The precise causal association of carotid IMT with VCI is uncertain. Carotid IMT can reflect either a media thickening in response to the increase in blood pressure in hypertensive patients, an intima thickening in response to atherosclerotic risk factors, or most often a combination of both. Nearly all types of vascular disease that may increase IMT may also affect cognitive function through a variety of mechanisms, directly or indirectly. Carotid atherosclerosis and IMT have been associated with cardiovascular risk factors, including metabolic, inflammatory, and dietary factors, that have also been associated with cognitive decline.189192 In addition, several studies have described associations between craniocervical artery atherosclerosis and cognitive impairment. For instance, in participants >90 years of age, intracranial atherosclerosis emerged as an important predictor of dementia in subjects with low Alzheimer disease pathology scores.193 In an autopsy series, the presence of large-vessel cerebrovascular disease, or atherosclerosis, was strongly associated with an increased frequency of neuritic plaque.194
The mechanisms by which atherosclerotic cerebrovascular pathology might be associated with VCI include thrombotic occlusion of large vessels with subsequent chronic cerebral hypoperfusion; cerebral embolism originating from ruptured or thrombotic carotid plaques and targeting distal vessels; increased parenchymal oxidative stress; blood pressure dys-regulation affecting BBB integrity; and a common genetic vulnerability to atherosclerosis of large and small vessels.189,195198 In all likelihood, common cardiovascular factors influence both IMT and VCI independently, but the consequences of vascular disease may also directly affect cognitive function.
6.2. Arterial Stiffness and VCI
The well-known, age-related arterial stiffening process (arteriosclerosis) is associated with quantitatively less elastin and more collagen but is also associated with qualitative changes in the arterial wall.143,199,200 The most simple, noninvasive, robust, and reproducible method with which to determine aortic stiffness is the measurement of carotid-femoral pulse wave velocity, using the foot-to-foot velocity method from various waveforms (pressure, Doppler, distention).182 The analysis of aortic pressure waveform allows the calculation of central systolic blood pressure and pulse pressure, which are influenced by aortic stiffness and the geometry and vasomotor tone of small arteries. Central systolic blood pressure and pulse pressure can be estimated noninvasively either from the radial artery waveform, using a transfer function, or from the common carotid waveform. Both aortic pulse wave velocity and central systolic blood pressure and pulse pressure predict cardiovascular events independent of classic cardiovascular risk factors.182
Carotid-femoral pulse wave velocity, the “gold standard” for evaluating arterial stiffness,182 was higher in any group of cognitively impaired subjects with or without dementia.201 An inverse relationship between pulse wave velocity and cognitive performance was reported cross-sectionally.186,202,203 Carotid femoral pulse wave velocity was also associated prospectively with cognitive decline before dementia in studies using a cognitive screening test204,205 and more specifically tests of verbal learning and delayed recall and nonverbal memory.205 These relationships remained significant after controlling for age, sex, education, and blood pressure levels. Other studies reported a significant positive relationship between arterial stiffness and volume or localization of WMLs, a known factor predisposing to dementia,206 on neuroimaging.207,208
Several pathways may link aortic stiffness to microvascular brain damage. They include endothelial dysfunction and oxidative stress,209 a mutually reinforcing remodeling of large and small vessels (ie, large-/small-artery cross talk),210 and exposure of small vessels to the high-pressure fluctuations of the cerebral circulation,211 which is perfused at high-volume flow throughout systole and diastole, with very low vascular resistance. Additionally, stiffer large arteries are associated with increased left ventricular mass. Of note, left ventricular remodeling and hypertrophy have been associated with higher frequency and severity of subclinical brain damage.212 Recently, higher left ventricular mass in older people has been independently associated with a 2-fold higher likelihood of having dementia, independent of blood pressure levels.213
6.3. Small-Artery Remodeling and VCI
Direct investigation of small resistance arteries harvested from human subcutaneous and omental fat tissue has been possible using wire or pressure myography.214216 To the best of our knowledge, no study has investigated the relationship between small-artery remodeling and cognitive decline or WMLs. Noninvasive methods for measuring small-artery remodeling have focused on retinal vessels, using either a funduscopic methodology or scanning laser flowmetry.217,218 Retinal arterial narrowing correlates with increased arterial stiffness219 and cerebral small-vessel disease.218,220,221
There is increasing recognition that small-vessel disease is a systemic process.222 Small-vessel disease increases with age and is accelerated by vascular risk factors, most notably, hypertension and diabetes.223 Putative mechanisms for this are increasing thickening of the basement membrane of capillaries and perivascular deposition of collagen leading to occlusion of end arterioles.224 This manifests as systemic arteriolar dysfunction. In addition, brain damage may arise from small-vessel endothelial leakage.225
6.4. Summary
The mechanistic pathways linking microvascular brain damage to carotid IMT, aortic stiffness, and small-artery remodeling are complementary. Aortic stiffness predicts cardiovascular events independent of carotid IMT.226 A large-/small-artery cross-talk has already been described in hypertensive patients.210 These data suggest that the noninvasive investigation of large and small arteries could demonstrate additional and independent predictive values for VCI and dementia. In addition, such a noninvasive investigation could help in determining the relative weight of each arterial parameter in contribution to all types of dementia (from VaD to Alzheimer disease) in the general population.227 Finally, whether early vascular aging228,229 is an important contributor to VCI and dementia and whether the latter can be prevented or delayed by targeted therapy remain to be demonstrated.
VCI is defined as a syndrome in which there is evidence of stroke or subclinical vascular brain injury based on clinical or neuroradiological features and that is linked to impairment in at least 1 cognitive domain. Although stroke is common in the elderly,230 asymptomatic brain infarction is even more common,231 and the full spectrum of cerebrovascular disease–associated brain injury (CVBI) measured on brain MRI includes WMLs, brain atrophy, and other findings.232 This section discusses evidence from imaging studies that examine the influence of CVBI on cognition and cognitive decline.10
7.1. Clinical Presentation and Importance of Neuroimaging Studies
As previously discussed, VCI may have a variety of clinical presentations that may depend on the setting in which patients are evaluated. For example, in community-based studies, evidence of CVBI and cognitive impairment is often found without a history of a strokelike event. Furthermore, the relative contributions to VCI of microbleeds seen on MRI or microinfarcts discovered at autopsy remain uncertain, although both occur with increased frequency among people diagnosed with dementia during life.77,233 Therefore, although the finding of CVBI on MRI is the most sensitive, the relationship between location and volume of infarcts and cognitive impairment is complex and the subject of ongoing investigation.
Two issues related to the accuracy of MRI for detection of CVBI are important for a diagnosis of VCI. First is the sensitivity and specificity for detection of CVBI. Not all lesions attributed to CVBI on MRI are in fact caused by vascular injury,234 and not all vascular lesions (eg, microinfarcts) can be detected by MRI. The second is the ability to relate these findings to specific domains of cognitive impairment in older people who often have coincident Alzheimer disease pathology. A number of studies have assessed the specificity of MRI findings through neuropathological correlations with postmortem measures of CVBI, particularly pathological correlates of WMLs.71,108 In a study that examined the pathological correlates of in vivo MRI evidence of CVBI,82 WMLs were highly correlated with pathological features of ischemic white matter injury but not Alzheimer disease pathology. Gray matter volumes, however, were associated with both vascular and Alzheimer disease processes, and hippocampal volumes were associated with both hippocampal sclerosis and Alzheimer disease. It is evident that firm conclusions about imaging of CVBI relate to lack of accurate measures of concurrent Alzheimer disease pathology. Recent amyloid imaging techniques have proved an association with Alzheimer disease pathology235 and may prove useful for evaluating the independent and combined effects of vascular and Alzheimer disease brain injury on cognitive changes during normal aging in the future. Fortunately, studies using both modalities are currently under way.
Although the specific independent effects of CVBI may remain somewhat uncertain at this time,236 general conclusions can be drawn from clinical and imaging studies of subject groups with a high likelihood of having CVBI or conversely a low likelihood of concomitant Alzheimer disease. The following sections review key findings of studies of CVBI that may have an impact on the clinical presentation and course of VCI.
7.2. Prevalence of CVBI and Associated Cognitive Findings
Estimates of the prevalence of silent cerebral infarction on MRI in community-based samples vary between 5.8% and 17.7%, with an average of 11%, depending on age, ethnicity, presence of comorbidities, and imaging techniques.237 In the Framingham study, for example, the prevalence of silent cerebral infarction between the fifth and seventh decades of life is ≈10% but increases rapidly in the eighth decade to 17% and in the ninth decade to nearly 30%. Most have a single lesion, and the infarcts are most often located in the basal ganglia (52%), followed by other subcortical (35%) and cortical (11%) areas.237 Risk factors for silent cerebral infarction are generally the same as those for clinical stroke.237,238
WMLs are even more common and are generally present in most people >30 years of age,231 increasing steadily in extent with advancing age. WMLs also share risk factors with stroke,239 although advancing age remains a strong effect. Importantly, age-specific definitions of extensive WMLs can be created240 and prove useful in defining risk for VCI in a community cohort.240
Numerous studies have examined the cross-sectional relationship between MRI evidence of CVBI and cognitive ability. A recent review232 of large epidemiological studies summarizes cognitive and behavioral effects of both silent cerebral infarction and WMLs on cognition. Interestingly, although most studies suggest that these measures of CVBI are usually associated with non–memory-related cognitive deficits,241 a number of studies also show similar associations with memory impairment.240,242,243 These data are consistent with recent pathological findings of an association between infarctions found at autopsy and episodic memory performance.12,59 Incident cognitive impairment also occurs in association with CVBI. For example, the presence of SBI more than doubles the risk of dementia and risk of stroke.240,244,245 Similarly, WMLs have been associated with declining scores in the modified MMSE and the Digit Symbol Substitution Test,246,247 as well as with incident MCI, dementia, and death.240 Recent evidence also suggests that progression of WMLs is a better predictor of persistent cognitive impairment than baseline WML burden,248 although there is a strong association between baseline WML volume and increase in WML volume.249
7.3. Poststroke Dementia
Among patients who have experienced a first stroke, the prevalence of poststroke dementia (PSD) varies in relation to the interval after stroke, definition of dementia, location and size of the infarct, and other inclusion and exclusion criteria. In a Rochester, MN, community-based study of stroke, the prevalence of dementia was 30% immediately after stroke, and the incidence of new-onset dementia increased from 7% after 1 year to 48% after 25 years.250 In general, having a stroke increases the risk of dementia 2-fold. Risk of dementia is higher with increased age and fewer years of education, history of diabetes mellitus and atrial fibrillation, and recurrent stroke.251 Patients with PSD have degrees of functional impairment and high mortality rates. Long-term mortality is 2 to 6 times higher in patients with PSD after adjustment for demographic factors, associated cardiac diseases, stroke severity, and stroke recurrence (for review, see Leys et al252).
Among neuroimaging findings, silent cerebral infarcts, white matter changes, and global and medial temporal lobe atrophy are associated with increased risk of PSD.252 Left hemisphere, anterior and posterior cerebral artery distribution, multiple infarcts, and strategic infarcts have been associated with PSD in at least 2 studies.40 On the basis of small case studies, locations considered to be “strategic” have traditionally included the left angular gyrus, inferomesial temporal, mesial frontal, anterior and dorsomedial thalamus, left capsular genu, and caudate nuclei. The concept of strategic infarction, however, needs to be reexamined in larger prospective MRI studies, with the extent and location of CVBI defined in relation to cognitive networks.232
It is difficult to determine to what extent cognitive impairment may be attributable to stroke versus concomitant Alzheimer disease. Estimates of the proportion of patients with PSD with presumed Alzheimer disease vary widely between 19% and 61%.40 Approximately 15% to 30% of people with PSD have a history of dementia before stroke,38,253 and approximately one third have significant medial temporal atrophy.38 In the Lille study, the incidence of dementia 3 years after stroke was significantly greater in those patients with versus those without medial temporal atrophy (81% versus 58%).38 It is plausible that the likelihood of Alzheimer disease is higher among patients with cognitive impairment preceding stroke or with medial temporal atrophy, but this remains conjectural in the absence of neuropathological confirmation.
7.4. CVBI and Cognition in Convenience Samples
Cross-sectional studies of CVBI in convenience samples often find increased evidence of both SBI and WMLs in subjects with dementia,254,255 consistent with recent community-based pathological studies.12 Unfortunately, a clear pattern of effect of CVBI on cognition in convenience samples is confounded by a general focus on Alzheimer disease and the exclusion of people with coincident VCI.232 In at least 1 study of people with subcortical vascular brain injury presenting with memory impairment, incident lacunar infarction was associated with subtle declines in executive function performance over time.256 Conversely, measures of cerebral gray matter and hippocampal volume were both associated with declines in memory performance.256 Interestingly, the combined effects of CVBI and atrophy persist even among people clinically diagnosed with VaD according to NINDS-AIREN criteria.257
7.5. Depression on a Cerebrovascular Basis and CVBI
Depression in late life may be associated with vascular disease.258,259 There may be a higher frequency of brain white matter damage and other subcortical lesions, such as lacunar infarcts. It is believed that the associated brain changes in this condition are linked to atherosclerotic risk factors such as hypertension, diabetes mellitus, and hyperlipidemia. Neuro-psychological study may show evidence of executive dys-function and other findings. Proposed mechanisms for vascular depression in patients with cerebrovascular diseases include but are not limited to autonomic dysfunction, platelet activation, hypothalamic-pituitary axis activation, endothelial dysfunction, inflammatory mechanisms, genetic factors, and hyperhomocysteinemia.258 Depression with a cerebrovascular basis may respond to treatment with certain selective serotonin-reuptake inhibitors. Depression is further discussed in the section on comorbid neuropsychiatric disease.
7.6. Summary
The clinical presentation and course of CVBI are highly variable, with the classic phenotype of stepwise decline in association with stroke10 being a relatively uncommon presentation for VCI. Structural MRI provides a fairly sensitive and specific marker for CVBI, but the relationship between CVBI and cognitive impairment is confounded by the frequent presence of Alzheimer disease changes of the brain and co-occurrence of depression on a cerebrovascular basis. Recent data from prospective population-based samples (where the likelihood of Alzheimer disease is relatively low) clearly show that progressive SBI and WMLs are correlated with worsening of cognitive impairment, especially executive function. Thus, SBI and WMLs at least offer a readily available surrogate marker for the early detection and prevention of VCI and when found in combination are likely to indicate significant underlying CVBI. However, the utility of MRI or computed tomography for the diagnosis of VCI is not yet clearly defined.259a Ongoing research may further improve MRI detection of microinfarction, and, with the use of amyloid imaging in addition to detection of medial temporal atrophy, may further refine the biological mechanisms whereby imaging evidence of CVBI contributes to VCI.
7.7. Recommendation
  • The use of brain imaging with computed tomography or MRI may be reasonable in making a diagnosis of VCI (Class IIb; Level of Evidence B).
This section includes studies on the range of cognitive impairment, including VaD diagnosed with internationally recognized criteria.10,19,25 The studies generally included tests that conformed to the NINDS-Canadian Stroke Council VCI harmonization standards, reported at the minimum 1 nonmemory cognitive test of a function typically affected in VCI, or included a diagnosis of VCI or VaD. Because the present statement is focused on VCI, studies reporting only on tests of global cognition, memory tests, total dementia, or Alzheimer disease were excluded. We recognize that this is a somewhat arbitrary choice, because many articles and reviews show that vascular risk factors are also importantly associated with Alzheimer disease, mixed dementia, and amnestic MCI.110,260,261 Furthermore, several pathophysiological pathways leading to vascular and neurodegenerative processes are similar.262 Also, neuropathic studies show a high proportion of older people have mixed pathology, with Alzheimer disease lesions and vascular lesions being the most prevalent.18
For most risk factors, we drew from studies providing Class I evidence(ie, the risk factor is reported as a major finding in a community-based study that is preferably prospective or part of an intervention, with a sample size >500). For specific factors, such as coronary artery bypass grafting and cardiac output, we reviewed studies based on Class II evidence according to carefully analyzed clinical data.
Several issues specific to studying risk factors for cognitive impairment should be accounted for when interpreting the literature:
  • Questionnaire data rely on the recall of subjects who by definition of the research may be cognitively impaired.263
  • Reverse causation must be considered because it is possible that the risk factor level is a response to rather than a “cause” of the outcome.260 This is a particular concern in studies that measure cognitive function in late life, shortly after or simultaneously with the measure of a risk factor.
  • The activity of biomarkers in the brain generally cannot be measured directly.
  • The cognitive tests for VCI are, to a degree, nonspecific for vascular disease, and different criteria for VaD identify different sets of people.29
  • The brains of older people have multiple morbidities that can lead to the same phenotype.18
8.1. Nonmodifiable Risk Factors
8.1.1. Demographic Factors
Prevalence estimates of VaD vary widely. A recent study reporting on the prevalence of VaD in developing countries reported a range of 0.6% to 2.1%.3,33 In a pooled analysis of major European population–based studies, VaD was prevalent in 1.6% of subjects >65 years of age, but there was a large variation in 5-year age-specific prevalence.264 In general, however, after age 65 years, there is an exponential increase in prevalence and incidence of VaD as age increases,265,266 although the trends after 90 years of age have not been well established.4,267,268 This age-related increase in VaD follows the pattern of stroke,269 although dementia after stroke may be more frequent in people <80 years old.270 Some studies report a higher incidence of VaD in men than in women,4,271 although a pooled analysis of incidence studies found no difference.272 MCI may not differ by sex,273 but additional studies are needed to answer this question. The incidence of VaD appears to be higher in blacks than in whites4 or in Hispanics with a history of stroke,274 possibly reflecting group differences in cerebrovascular risk profile. Recent studies have shown that similar to Western countries, Alzheimer disease is the leading cause of dementia in Asian populations.275 Until there is a harmonization of criteria and a better understanding of how the population-level vascular burden and mortality patterns affect frequency estimates, it will not be possible to exclude methodological differences in case definition as a reason for differences in estimates of prevalence and incidence of vascular-related cognitive disorders.
8.1.2. Genetic Factors
The apolipoprotein E ε4 allele is associated with increased levels of cardiovascular risk factors276 and is a strong indicator of genetic risk for Alzheimer disease. Despite this, several studies report no association of the polymorphism with VaD.34,277 Many more genetic candidates are expected to emerge with the publication of results from genome-wide association studies,278,279 although the immediate clinical relevance of these findings is unclear. An important factor limiting the study of genetic factors of VCI is the lack of a clear determination of the phenotype, because superimposed Alzheimer disease processes cannot be ruled out.
8.1.3. Summary: Demographic and Genetic Factors
As with most neurocognitive disorders of late life, VCI is likely to be more common as age increases. There is no apparent association of apolipoprotein E ε4 and VCI. However, more genetic candidates are expected to emerge as additional studies on endophenotypes of VCI are conducted. These traits include specific cognitive domains such as speed of processing, vascular lesions such as macrovascular infarcts detected on MRI, and microvascular lesions detected in neuropathological samples.
8.2. Lifestyle Factors
8.2.1. Education
Low educational level has been reported to be associated with an increased risk for VaD.280 However, cognitive tests have an education component, which may reflect years or quality of schooling, socioeconomic status, chronic disease or less healthy lifestyle patterns, acculturation, racial socialization, or cognitive reserve.281 Thus, there are a number of possible explanations or confounders in relation to education level and VCI.
8.2.2. Diet
The association of diet with cognitive function has a long history grounded not only in studies of cardiovascular risk factors but also in studies of brain development and physiology.
Antioxidants, which include vitamins E,282 C, and beta carotene,283 consumed either as a part of the diet (fruits and vegetables) or as supplements, have been reported to reduce the risk of cognitive impairment.284 However, several prospective285 and interventional286,287 studies show no benefit of consuming antioxidants to preserve cognitive function or reduce decline.
Fish oil n-3 polyunsaturated fatty acids are of interest because of their antioxidant and antiinflammatory properties and because they are major components of membrane phospholipids in the brain and play a critical role in neuronal function.288 In studies of cognition, levels of n-3 polyunsaturated fatty acids are estimated by dietary intake or directly as blood markers. A 3-year observational study of cognitive decline in elderly men reported high fish intake to be inversely associated with cognitive impairment.289 Some,290292 but not all,293 studies of middle-aged and older subjects with 5 to 6 years of follow-up suggest increasing levels of n-3 polyun-saturated fatty acids are associated with better cognitive function and less cognitive decline.
Vitamin D is an emerging risk factor for an increased risk of cardiovascular disease and stroke. Recently, 1 study found an association of lower circulating vitamin D levels with poorer cognitive function,294 but another found no association.295 Additional studies are needed to further understand how vitamin D levels may be associated with cognitive function and impairment.
Folic acid and vitamins B12 and B6 are key components of the pathways leading to the production and metabolism of homocysteine.296 Homocysteine is a risk factor for vascular damage.296 Cross-sectional and longitudinal studies consistently show that increasing levels of plasma homocysteine are associated with poorer performance in global as well as multiple cognitive domains.297299 In a randomized trial of women with cardiovascular disease or risk factors for cardiovascular disease,285,300 there was no benefit to cognitive function from a 6-year intervention that used a supplement with B vitamins to lower plasma homocysteine levels.
There is some evidence that a Mediterranean diet can reduce cognitive decline.301 However, despite the key role studies of diet have played in shaping our understanding of cardiovascular disease, it has been much more difficult to study the role of diet in shaping late-life trajectories of cognition. Diet-cognition associations are difficult to interpret for the reasons described. To advance this area of research, we need better information on how dietary and peripheral biomarkers of nutritional status reflect brain resources and metabolism, more valid measures of remote diet, studies of dietary patterns, and studies of younger people.
8.2.3. Physical Activity and Physical Function
Physical activity may increase brain neurotrophins, such as brain-derived neurotrophic factor, improve cerebrovascular functioning and brain perfusion, reduce response to stress, and increase brain plasticity through synaptogenesis and neurogenesis.302 The Chicago Health and Aging Project (CHAP), which was based on a cohort with low physical activity, found no association between cognitive decline and physical activity carried out in the 2 weeks before the study examination.303 However, long-term regular physical activity, including vigorous activity and walking, was strongly associated with higher levels of cognitive function, less cognitive decline, and less VaD.303306 Physical activity or exercise is recommended to maintain aerobic fitness and function and for its potential cognitive benefits.307 For those able to engage in exercise, the American Heart Association recommends 30 minutes of exercise of moderate intensity on most days. For those with a disability, a supervised therapeutic regimen may be implemented. Physical activity has been identified as having potential protective benefits in brain health and plasticity and in VCI and related conditions.308314
There is a relative paucity of data on the type and frequency of physical activity and what the short- and long-term benefits of physical activity are for preservation of brain health. The Lifestyle Interventions and Independence for Elders Study (LIFE),314a a clinical trial testing the effects of a 4-year exercise intervention on physical function, will measure cognitive function as a secondary outcome; it is expected to be completed in 2013.
8.2.4. Alcohol Intake
The risks and benefits of alcohol intake have been debated for years, with the only clear risk for cognitive impairment being heavy alcohol use. Comparisons of studies on cognitive dysfunction are made difficult by the disparate definitions of alcohol intake, reference groups (ie, people who never drink, prior drinkers who now abstain, or people who drink infrequently compared with drinkers), and different outcome measures. Despite this, several longitudinal studies, including those with measures of exposure in middle age, have found some benefit in relation to cognition of more use of alcohol compared with infrequent use or no (“never”) use of alcohol.315317 However, studies vary in the amount of alcohol associated with a positive effect; the relative significance of global, memory, and executive function; and whether the effect varies by sex.
8.2.5. Obesity
Obesity, or body fat, is an emerging risk marker of interest because of its metabolic consequences and recent reports of associations with total dementia.318 Body mass index has a U-shaped relationship with total dementia and VaD, so that subjects at the lower and upper ends of body mass index distribution had a higher frequency of dementia relative to subjects with a normal body mass index.319 Body mass index measured in midlife is more strongly associated with VCI, whereas body weight measured later in life has an inverse association with cognitive impairment, where obesity is associated with a lower risk of dementia.320 The differences in study results may reflect the different weight trajectories in midlife and late life relative to the age when cognition is measured or dementia occurs.321 In the Framingham Offspring Study, higher waist-hip ratio was associated with lower cognitive function, which was measured 12 years later. High waist-hip ratio strengthened the association with hypertension and dementia in the highest quartile of waist-hip ratio. It is unclear what confounding factors were taken into account in these analyses.322 A recent meta-analysis shows that high waist-hip ratio is associated with greater risk of dementia in all studies.319
8.2.6. Smoking
Smoking has well-known effects on the cardiovascular system and neurons, which are mediated generally by oxidative stress and inflammation. Several prospective studies show an increased risk for cognitive decline in smokers compared with nonsmokers,323,324 although risk may be specific for certain cognitive domains,325 possibly because nicotine may also stimulate cholinergic pathways within the brain.326
8.2.7. Social Support/Networks
Social networks and patient and family support have been associated with cognitive functioning in elderly populations in longitudinal and cross-sectional epidemiological studies.327330 However, these observations have not been tested in randomized controlled trials, and data can only be extrapolated to patients with VCI.
8.2.8. Summary: Lifestyle Factors
Lifestyle factors may be risk factors for VCI, and for many there is evidence for plausible biological mechanisms by which these factors may heighten risk of VCI. Gaps in knowledge about the role of such factors in VCI may be bridged by additional well-designed epidemiological studies, harmonization of how lifestyle activity is defined, and clinical trials.
8.2.9. Recommendations
  • In people at risk for VCI, smoking cessation is reasonable (Class IIa; Level of Evidence A).
  • In people at risk for VCI, the following lifestyle interventions may be reasonable: moderation of alcohol intake (Class IIb; Level of Evidence B); weight control (Class IIb; Level of Evidence B); and physical activity (Class IIb; Level of Evidence B).
  • In people at risk for VCI, the use of antioxidants and B vitamins is not beneficial, based on current evidence (Class III; Level of Evidence A).
8.3. Depression
Depression may impact cognitive functions and may mimic cognitive decline. It can be considered a comorbidity, prodromal factor, or a consequence of VCI rather than a factor that specifically alters vascular physiology or neuronal health, leading to cognitive impairment.47 In general, large epidemiological studies of older people use measures of depression symptoms such as the Center for Epidemiological Studies Depression Scale.331 Some studies suggest symptoms of depression predict cognitive decline.332334 However, when investigators in the Three City Study controlled for current depressive symptoms, there was attenuation of a significant association between 4-year cognitive decline and history of major depression. Investigators in the Cardiovascular Health Study (CHS) could not confirm that vascular factors mediated an association of depressive symptoms with incident MCI.335
8.4. Physiological Risk Factors
Physiological factors are continuous traits that contribute to or are biomarkers of disease processes and can be measured in a clinical examination, with imaging, or in biological specimens.
8.4.1. Blood Pressure
High blood pressure has long been known to cause stroke.336 Midlife hypertension ranks as an important modifiable risk factor for late-life cognitive decline,337 mild cognitive impairment,338,339 and VaD.340,341 In longitudinal cohort studies, higher systolic blood pressure has been associated with greater late-life cognitive decline, although some studies have reported a J- or U-shaped relation.342 Findings from these prospective cohort studies for diastolic blood pressure and cognitive decline are less consistent; however, many have reported a similar inverse relation. The data on the role of blood pressure and hypertension in later life are not consistent, leaving open the issue of blood pressure treatment in older people. The controversy about the association between later life hypertension and cognitive decline arises because the longitudinal relationship between cognitive change and blood pressure is sensitive to the effects of age, duration of follow-up and number of blood pressure measurements, hypertensive treatment status, comorbidity with cardiovascular diseases and stroke, and possibly subclinical dementia.343
8.4.2. Hyperglycemia, Insulin Resistance, Metabolic Syndrome, and Diabetes
Multiple mechanisms related to diabetes-related glucose and insulin dysregulation can lead to vascular and neuronal damage.344 Chronic hyperglycemia, increased insulin, the metabolic syndrome, and diabetes are associated with VCI,337,345348 as well as VaD or dementia with stroke.349,350 Of note, hyperglycemia is associated with functional changes in cerebral blood flow that are reversible when good glycemic control is restored.351 These findings have been reported across multiple populations. Studies suggest that the longer the duration of diabetes, the poorer the cognitive function.347,348,352 It is remarkable to consider that recurrent episodes of hypoglycemia may cause permanent cognitive impairment in older subjects353 and that cognitive disturbance, in turn, represents a risk factor for hypoglycemia in older adults.
8.4.3. Lipids
In the Finnish study Cardiovascular Risk Factors Aging and Dementia (CAIDE), midlife measures of total cholesterol significantly predicted cognitive impairment 21 years later, an association that was attenuated after accounting for statin therapy.354 In a study based on medical records, high midlife cholesterol level increased the risk for VaD that developed over a 30-year period.355 Findings in late-life cohorts vary, with some finding higher levels of cholesterol associated with a lower risk356 and others finding a higher risk for VaD.357 As with blood pressure, inconsistencies may reflect timing of the cholesterol measurements relative to age, older people possibly being less likely to receive lipid-lowering therapy (“generational effect”), and clinical onset of dementia. A trial of pravastatin in older people at risk for cardiovascular disease found no difference between the placebo and treatment arms in multiple cognitive domains.358
8.4.4. Inflammation
Inflammation is a key process linking many cardiovascular risk factors to vascular and neuronal damage. Plasma levels of inflammatory proteins, specifically α1-antichymotrypsin and C-reactive protein, were found to be increased before the onset of VaD over an 8-year follow-up period359; C-reactive protein levels were increased 25 years before the onset of VaD.360 In the Conselice Study of Brain Aging, with 4 years of follow-up, the combination of high levels of C-reactive protein and interleukin-6 led to a nearly 3-fold increased risk of VaD.361
8.4.5. Summary: Physiological Risk Factors
Midlife systolic and diastolic blood pressure, history of hypertension, and total cholesterol level predict VCI. The relation of late-life VCI to measures of blood pressure and cholesterol in later life remains uncertain and requires further study, although higher levels of exposure to these risk factors may prove to be beneficial. Diabetes and hyperglycemia are associated with VCI. C-reactive protein, a marker of inflammation, is associated with VaD.
8.4.6. Recommendations
  • In people at risk for VCI, treatment of hypertension is recommended (Class I; Level of Evidence A).
  • In people at risk for VCI, treatment of hyperglycemia may be reasonable (Class IIb; Level of Evidence C).
  • In people at risk for VCI, treatment of hypercholesterolemia may be reasonable (Class IIb; Level of Evidence B).
  • In people at risk for VCI, it is uncertain whether treatment of inflammation will reduce such risk (Class IIb; Level of Evidence C).
9.1. Coronary Artery Disease
In the CHS and Age, Gene, Environment Susceptibility–Reykjavik Study (AGES-RS), computed tomography–based coronary artery calcium, a measure of severity of coronary atherosclerosis, was associated with a higher risk of cognitive impairment.362,363 Adjustment for WMLs, SBI, cerebral microbleeds, and brain volumes attenuated the observed association between coronary artery calcium and cognition, implicating other vascular mechanisms.363
Coronary artery disease has also been identified as an independent risk factor for VaD.34 Coronary artery bypass graft has been associated with poorer initial cognitive function and a higher late-life dementia risk. However, at 1- or 6-year follow-up, the cognitive decline in these patients was no different from that observed in controls with an equivalent burden of coronary artery disease who opted for medical treatment or percutaneous coronary intervention.364,365
9.2. Stroke
The risk of new-onset dementia after a stroke is approximately twice the rate for age- and sex-matched control subjects270 and averages ≈10% after the first stroke, depending on the location, volume of damaged brain tissue,30 clinical severity, and presence of early poststroke complications (seizure, delirium, hypoxia, hypotension). A recent review identified older age, lower education, prestroke cognitive impairment, diabetes, and atrial fibrillation as factors that increased the risk, but one of the strongest predictors of cognitive decline after an initial stroke was the occurrence of a second stroke.269,270 In people with recurrent stroke, the risk of dementia rose to ≈30%, regardless of the number and severity of vascular risk factors they had been exposed to before the stroke.269
9.3. Chronic Kidney Disease
Severe chronic kidney disease has been associated with metabolic (uremic) and hypertensive encephalopathy and an increased risk of stroke.366 Data from multiple studies of different populations suggest that among all people with severe and moderate chronic kidney disease (estimated glomerular filtration rate <30 and <60 mL/min per 1.73 m2, respectively), there is a graded increase in the prevalence of cognitive impairment affecting multiple domains.367,368 In the CHS, moderate chronic kidney disease was related to risk of incident VaD.369 The association between chronic kidney disease and cognitive impairment could be confounded by shared vascular risk factors for small-vessel brain disease.
9.4. Atrial Fibrillation
Atrial fibrillation, especially if not treated with adequate anticoagulation, is a risk factor for stroke.370 In several large community-based samples and in a prospectively studied registry of people undergoing cardiac catheterization, cross-sectionally it was an independent risk factor for lower cognitive performance and a higher risk of VaD.371374 However, a few studies did not observe an association of atrial fibrillation with dementia.375,376 Some of these differences could be related to age or sex (the effect was weaker in women and older people) and the administration and effectiveness of anticoagulation.
9.5. Peripheral Arterial Disease
In the Honolulu-Asia Aging Study (HAAS) and CHS, a low ankle-brachial index, a measure of peripheral arterial disease, was associated with an increased risk of VaD.377,378 A greater carotid-femoral pulse wave velocity was associated with lower cognitive function in the Maine-Syracuse Study.379 There are scarce data relating flow-mediated endothelial dilatation (brachial artery reactivity) with cognition.
9.6. Low Cardiac Output
A subclinical decrease in cardiac output has also been shown to be associated with lower cognitive function.380 Specifically, reduced cardiac output has been associated with executive dysfunction (mainly sequencing and planning difficulties)381 and regional WMLs adjacent to the subcortical nuclei.382 Chronic reduced systemic perfusion may affect cerebral perfusion homeostasis.383,384 Animal and human observations suggest that chronic hypoperfusion induces the development and progression of WMLs.385387
Low cardiac output may represent a key factor in the onset and progression of cognitive impairment, especially in older people with systolic heart failure.380,383
9.7. Summary: Concomitant Disease
Prevention of chronic vascular diseases may help reduce the population burden of vascular dementia. Initial and recurrent stroke significantly increase the risk of clinical dementia. Although this is caused in part by loss of brain tissue, it may also reflect a direct effect of vascular risk factors on both risk of stroke and cognitive function. That is, stroke could be serving as a marker of cumulative exposure to vascular risk factors. In an analogous manner, disease of the coronary or peripheral arterial circulations, atrial fibrillation, and clinically detectable renal and cardiac failure have each been associated with cognitive impairment.
10.1. Background
Over the past decade, the role of vascular brain disease as a cause of cognitive impairment has become increasingly evident, alone or combined with Alzheimer disease. Pivotal trials to test drugs approved for Alzheimer disease in patients with VaD,388 however, have failed to achieve regulatory approval. Reasons include only modest benefit on standard cognitive measures, which undersampled executive functioning, and inconsistent benefits in global and daily function, which are difficult to evaluate when physical deficits with stroke coexist. Furthermore, high specificity but low sensitivity of VaD criteria10 hampered recruitment, and the emphasis on inclusion of those with memory loss made it challenging to exclude concomitant Alzheimer disease. Finally, concern that frontline clinicians could not distinguish VaD from Alzheimer disease made regulators reluctant to grant a separate indication.389
Management of vascular risks and symptomatic pharmacotherapy targeting VaD has been the primary approach.390 Nonpharmacological approaches have also been tried. Standardized screening and monitoring to document baseline, disease trajectory, and treatment response are essential. These include medical history, social and daily functioning, cognitive screening with more detailed assessment as appropriate, blood tests, and vascular and brain imaging. Also, factors that exacerbate clinical disease manifestations (eg, sleep disorders, pain, stress) must be addressed and specific efforts made to optimize quality of life of patients and caregivers.391
Many facets of dementia care do not involve therapies directed at disease modification. It is important for providers to also support caregivers, refer caregivers to educational offerings, and identify community resources, including assistance to support performance of activities of daily living and for living in the community, such as access to transportation and referral for assessment of driving safety. Other areas of care are to provide advice and help in the management of psychological symptoms and neurobehavioral complications, preparation for loss of capacity to make financial and medical and placement decisions, and arranging for provision of palliative care in the case of progressive disease. A full discussion of all of these important facets of care is clearly beyond the scope of the present statement; however, these aspects are important, and resources may be found elsewhere, such as in the recommendations for the comprehensive care of patients with dementia recently published by a Canadian consensus group and other evidence-based strategies for care based on those recommendations.307,391,392
10.2. Pharmacological Treatment of Cognitive Impairment
There is pathological and clinical evidence for cholinergic compromise in VCI as occurs in Alzheimer disease.393395 Double-blind, placebo-controlled, randomized clinical trials lasting 6 months have tested the efficacy of cholinesterase inhibitors in cognitive, global, and daily functioning in VaD. The same assessment tools as used in Alzheimer disease trials were administered.390 The resultant evidence is summarized in Table 3.
Table 3
Table 3
Pharmacological Treatments for VCI
The donepezil trials focused on “pure” VaD (n=1219), in which placebo groups were stable over 6 months, requiring improvement to show efficacy. Cognitive benefit was found, but global and functional efficacy was less consistent in the individual studies.396,400 A post hoc analysis in a recent large randomized controlled trial of donepezil in VaD (n=974) showed that as assessed by a standardized visual rating scale, patients with hippocampal atrophy who received placebo declined more than those without hippocampal atrophy, who remained cognitively stable. This finding suggests that hippocampal volume may need to be accounted for in future VaD trials.398 The side-effect profile was similar to that of donepezil for Alzheimer disease trials. In a recent study, however, more deaths occurred in the donepezil treatment group; this was attributed to the less than expected death rate in the placebo group.398 An 18-week study of donepezil in 168 patients with CADASIL had a neutral result but showed benefit in executive function measures in secondary analysis.408
Galantamine was evaluated in patients with pure VaD (n=252) and Alzheimer disease/VaD (n=295).403 There was statistically significant less decline in cognition, function, and behavior with galantamine, driven by the mixed subgroup, whereas subjects treated with placebo showed decline. The pure VaD subgroup was underpowered statistically to show definite benefit. A subsequent study of “pure” VaD patients (n=788) showed cognitive treatment benefits, including benefit for an executive measure but not for daily functions; however, there was an overall trend for global benefit (P=0.06).401
Rivastigmine has been less well studied, but beneficial effects on an executive measure were found in a 22-month, open-label controlled (n=16) study409 and in a double-blind placebo-controlled trial targeting vascular cognitive impairment, no dementia (n=50).405 Two studies with memantine, an N-methyl d-aspartate antagonist, likewise showed cognitive benefit without global or functional benefit.406,407
Cochrane reviews of VaD trials concluded that donepezil studies have provided the best available evidence for a beneficial effect for VaD397 and galantamine for mixed states,402 whereas a benefit of memantine410 and rivastigmine is still not proven.404 The adverse effect safety profile is generally similar to that of Alzheimer disease studies. One meta-analysis commented that the cognitive benefits of cholinergic agents and memantine were of uncertain clinical significance in VaD, and more data are required before widespread use of these agents is to be considered.411 Whether there are any differential benefits within or between the drug classes is not clear from the available evidence, because no head-to-head trials have been conducted.
Trials have been conducted with other compounds, including cytidinediphosphocholine,412,413 nimodipine,414 piracetam,415 huperzine A,416 and vinpocetine,417 but so far without convincing data, although nimodipine and huperzine, especially for small-vessel disease, seem worthy of further study. A small study of sertraline showed benefits on the Executive Interview (EXIT-25), an executive function test.418
10.3. Summary and Recommendations: Pharmacological Therapy
10.3.1. Summary
Specific pharmacotherapy trials targeting VaD have shown consistent, modest cognitive improvements with donepezil, galantamine, and memantine, but functional and global benefits have been less consistent, with evidence only from 2 large donepezil trials. In trials of galantamine, less decline in cognitive, functional and global outcomes was shown in trial results driven by participants with mixed VaD/Alzheimer disease. The adverse effect profile is similar to that seen in Alzheimer disease trials. More clinical trial evidence would be helpful, including pharmacoeconomic evaluations. In the future, case selection and outcomes should use the updated clinical criteria, more sensitive executive function measures, and advanced imaging biomarkers that better quantify atrophy and vascular brain injury, including diffusion tensor and perfusion imaging, and possibly amyloid labeling or cerebrospinal fluid markers to detect concomitant Alzheimer pathology.
10.3.2. Recommendations
  • Donepezil can be useful for cognitive enhancement in patients with VaD (Class IIa; Level of Evidence A).
  • Administration of galantamine can be beneficial for patients with mixed Alzheimer disease/VaD (Class IIa; Level of Evidence A).
  • The benefits of rivastigmine and memantine are not well established in VaD (Class IIb; Level of Evidence A).
10.4. Nonpharmacological Treatments
Nondrug therapies have been examined for treatment or adjunctive management of VCI. Lifestyle factors such as diet, physical activity, and social support networks were reviewed in the lifestyle section of this statement. Few nonpharmaco-logical therapies have been tested and found to be beneficial in the VCI population. Two therapies reported in the Cochrane reviews are cognitive rehabilitation and acupuncture.
Cognitive rehabilitation and cognitive stimulation so far have not proven effective.419,420 However, there are few randomized controlled trials, and there are methodological limitations in existing studies in the area. Acupuncture showed cognitive benefit in a rodent model of VaD,421 but a Cochrane review of acupuncture in human VaD was inconclusive,422 which indicates that more studies are needed.
10.4.1. Summary
Only limited evidence exists to support nonpharmacological modalities for management of VCI. No formal recommendations for therapy are offered. More research with rigorous designs to study the effects of nonpharmacological interventions, including cognitive rehabilitation and acupuncture, is needed.
11.1. Public Health Aspects
Because the most common forms of dementia affect the elderly, even a modest delay in the appearance or worsening of cognitive deterioration could translate into a relatively large reduction of the incidence of disease. Such people might die of competing causes before manifesting the symptoms of dementia. It has been estimated, for example, that among the 106 million cases of Alzheimer disease expected worldwide by the year 2050, ≈23 million could be avoided completely if it were possible to delay the onset of disease by 2 years.423
In relation to the role of vascular risk factors, during midlife the population-attributable risk of dementia has been reported to be highest for hypertension (up to 30% of cases of late-life dementia). Furthermore, on the basis of observational epidemiological data, diabetes conveys a high risk of dementia. Vascular and metabolic risk factors should therefore be regarded as potential major targets for the prevention of dementia. The timing of such interventions may be important, because the association with dementia appears to be stronger for vascular factors and when measured in midlife rather than in old age, which suggests that midlife may be a critical period.424 In addition, safeguarding normal cognitive development during childhood and adolescence based on the new understanding of the importance of early-life factors for adult health and disease,425 as well as for cognitive function, is a prerequisite for prevention of cognitive impairment.426 The importance of balanced nutrition in early life for normal neurocognitive development, a process that is not finished until late adolescence, has been widely recognized.427
11.2. Results of Main Studies on Vascular Factor Control and the Prevention of Dementia
11.2.1. Hypertension
11.2.1.1. Observational Studies on Antihypertensive Drugs and Risk of Dementia
An association between midlife hypertension and late-life cognitive decline or dementia has been found in a majority of observational studies, including cohort studies with follow-up spanning several decades. Results of studies on blood pressure measured in late life and dementia are less consistent, with most finding no association with hypertension or an association with low blood pressure and dementia.343,428
Several longitudinal studies have assessed the impact of the use of antihypertensive drugs on the risk of dementia (Table 4). Mean duration of follow-up was ≤5 years for most studies, except 2 studies with a follow-up of 13429 and 19430 years and that included participants who were a younger age at inclusion. In HAAS there was a large enough range of duration of follow-up to study the effect of duration of treatment >12 years.431 In none of these studies was antihypertensive treatment associated with an increased risk of dementia. In 3 studies there was no association between hypertension treatment and risk of Alzheimer disease,432434 whereas in others there was a decreased risk of Alzheimer disease among those receiving antihypertensive treatment.429,431,435437 Interestingly, 2 analyses of the same study showed different results according to the duration of follow-up: no effect on dementia and Alzheimer disease in a first study with only 2.2 years of follow-up432 and a 5% reduction in risk of dementia per year of treatment (6% for Alzheimer disease) in a study with a much longer follow-up.429 Longer duration of treatment and lower age were associated with a stronger protective effect.429 This pattern of increased protection for dementia and Alzheimer disease with an increased duration of antihypertensive treatment was also found in HAAS.431
Table 4
Table 4
Main Longitudinal Studies on the Relationship Between Use of Antihypertensive Drugs and Risk of Dementia
Regarding type of treatment, results were less consistent. Several studies were unable to show any evidence of the effect of a particular class of antihypertensive drugs.429,430,432,434 In both the Kungsholmen project435 and the Cache County Study,436 a stronger effect of diuretics and particularly potassium-sparing diuretics for the latter436 was found compared with other antihypertensive drugs. These findings, however, were based on a limited follow-up, a relatively small number of dementia cases, and confounding by indication. In a recently published study, 3 treatment groups were compared in a large US Veterans Affairs administrative database composed almost exclusively of men (98%). Patients treated with angiotensin receptor blockers were found to have a lower risk of dementia and Alzheimer disease than those treated with lisinopril, an angiotensin-converting enzyme inhibitor, or with other cardiovascular drugs.438 By comparing angiotensin receptor blockers with an angiotensin-converting enzyme inhibitor, 2 classes of drug similar in novelty and price, this study is a remarkable attempt to overcome confounding by indication. The use of administrative databases, however, is subject to limitations such as a lack of precision concerning diagnosis of dementia and Alzheimer disease or the impossibility of taking into account potential major confounders such as educational level. Furthermore, the follow-up was relatively short, and ethnic disparities were not assessed. These findings, therefore, need to be confirmed in similar settings or randomized trials.
To summarize:
  • Observational studies point to some benefit of antihypertensive treatment for risk for Alzheimer disease.
  • The longer the duration of treatment, the stronger the preventive effect.
  • Treatment appears more effective in the youngest old than in the oldest people.
  • A few studies suggest a greater effect of some classes of antihypertensive therapy, but the evidence remains limited and is subject to bias so that no firm conclusion can be drawn about this relationship.
11.3. Clinical Trials of Blood Pressure–Lowering Drugs and Risk of Dementia
11.3.1. Individual Trials
Six large randomized trials of antihypertensive drugs included an assessment of dementia and cognitive function.440445 Four of these trials reported that treatment had no clear-cut effect on the risk of dementia440,441,443,444 or cognitive function.441,443,444 However, 1 study reported a beneficial effect on the risk of dementia,442 and another reported an effect on the risk of PSD445 (Tables 5 and and66).
Table 5
Table 5
Main Randomized Trials of Antihypertensive Drugs That Have Included Cognitive Impairment or Dementia as Outcomes: General Characteristics
Table 6
Table 6
Main Randomized Trials of Antihypertensive Drugs That Have Included Cognitive Impairment or Dementia as Outcomes: Results on Dementia
In the Systolic Hypertension in the Elderly Program (SHEP),440 a similar rate of dementia was found in the group receiving active treatment with a diuretic and/or β-blocker (1.6%) and the group receiving placebo (1.9%). A recent reanalysis of the SHEP data suggests that differential dropout may have biased the treatment effect toward the null.447
The Study on Cognition and Prognosis in the Elderly (SCOPE)443,448 was designed to evaluate the effect of treatment with an angiotensin receptor blocker with or without a diuretic on cognitive function in 4937 nondemented elderly hypertensive subjects. There was no major treatment effect on cognition.443 This lack of benefit must be interpreted in the context of small blood pressure differences observed between the active treatment group and the control group (3.2/1.6 mm Hg). Although initially planned as a trial of an angiotensin receptor blocker versus placebo, during the trial and for ethical reasons, antihypertensive drugs were administered to patients in the control group. Therefore, between-group blood pressure differences and the study power were reduced. A post hoc reanalysis of the data in patients not receiving add-on therapy after randomization, although showing evidence of a stronger effect on cardiovascular events, mortality, and vascular mortality, did not change the neutral result on cognition and dementia.448
The most compelling support for the prevention of dementia by blood pressure lowering was observed in the Systolic Hypertension Europe (Syst-Eur) trial.442,449 The trial was stopped prematurely after a median follow-up period of 2 years on evidence of significant benefits from treatment with nitrendipine for lowering the risk of stroke. Dementia was diagnosed in 21 patients from the placebo group and 11 patients from the active treatment group, corresponding to a 50% (95% confidence interval 0% to 76%) decrease in the incidence of dementia in subjects receiving active treatment. Most cases of dementia were Alzheimer disease. In an open-label follow-up study of the same patients in the trial, the principal result was confirmed with twice as many cases of dementia.450 In the extension study, both Alzheimer disease and VaD were reduced by treatment with nitrendipine.
In the Perindopril Protection Against Recurrent Stroke Study (PROGRESS), 6105 patients with a history of stroke or transient ischemic attack were randomly assigned to an angiotensin-converting enzyme inhibitor, perindopril, with or without a diuretic compared with placebo. Combination therapy reduced systolic and diastolic blood pressure by 12 and 5 mm Hg, respectively, and stroke risk by 43%.451 During the 4-year follow-up, dementia was diagnosed in 410 patients, of whom 108 had dementia preceded by a stroke. Overall, there was a nonsignificant 12% (range –8% to –28%) reduction in the risk of dementia in the active treatment group. Evaluation within 2 dementia subgroups (with or without prior stroke), however, showed a significant reduction in the risk of dementia with active treatment in patients with a prior history of stroke compared with patients without prior stroke (34% versus 1%; P=0.03). A similar result was observed for cognitive decline, defined as a drop of ≥3 points in the MMSE.445 Furthermore, in a PROGRESS MRI substudy, it was shown that active blood pressure lowering stopped or delayed the progression of white matter hyperintensities.452
In the Hypertension in the Very Elderly Cognitive Function (HYVET-COG) study, 3336 patients >80 years of age with systolic blood pressure >160 mm Hg were treated with slow-release indapamide plus or minus perindopril or placebo. The treatment was found to have no effect on the risk of dementia or cognitive decline.444 The trial was stopped prematurely, however, after a mean of 2.2 years of follow-up because of a significant reduction in stroke and total mortality.
All published trials share common limitations: (1) short follow-up duration442,444; (2) heterogeneity in screening and diagnosis of dementia441; (3) patients at low risk for dementia (young mean age)441,445 and with high baseline MMSE; (4) small numbers of incident cases and low statistical power; and (5) differential dropout, which could lead to overestimating or underestimating the treatment effect.
11.3.2. Meta-Analyses
To date, 5 meta-analyses have been published on the risk of dementia in antihypertensive trials (Table 7). To summarize:
  • These studies had variable methods in relation to model type (fixed or random) and selection of patients.453,454
  • None examined all 5 trials combined, even among those most recently published.444,455
  • Only 1 trial found that the risk for dementia was significantly decreased, but it was embedded in the report of the HYVET results, and its description was scant, especially concerning selection criteria for the studies.
  • Overall, the variance for reduction of risk for dementia ranged from 11% to 20% (Table 7).
Table 7
Table 7
Meta-Analyses of Randomized Trials of Blood Pressure–Lowering Treatment on Prevention of Dementia
11.3.3. Ongoing or Planned Trials
The Systolic Blood Pressure Intervention Trial (SPRINT) is designed to test whether lowering blood pressure beyond recommended levels can provide an added benefit. In this trial, 7500 patients >55 years of age with systolic blood pressure ≥130 mm Hg and at least 1 other vascular risk factor (hypercholesterolemia, smoking) will be randomized to an “aggressive” treatment arm with a target systolic blood pressure of <120 mm Hg and a more “routine” arm with a target systolic blood pressure of <140 mm Hg. Patients will be followed up for a minimum of 4 years. The trial began in the fall of 2010 and includes a substudy of cognition (SPRINT-MIND) funded by the National Institute on Aging and NINDS.
11.3.4. Summary and Recommendations: Blood Pressure Lowering and Cognition
11.3.4.1. Summary
Observational studies point to some benefit of antihypertensive treatment on the risk for Alzheimer disease, the treatment being apparently more effective in the youngest old than in the oldest people.
Few large blood pressure–lowering trials have incorporated cognitive assessment and diagnosis of dementia. They share several limitations, and therefore, considerable uncertainty remains about the efficacy of antihypertensive drugs for lowering the risk of dementia in general and Alzheimer disease in particular.
Meta-analyses neither prove nor disprove the efficacy of antihypertensive treatment on the risk of dementia. They are subject to limitations similar to those of therapeutic trials and do not yield any substantial additional information. An individual patient data meta-analysis could be useful because it could allow proper assessment of potentially major effect modifiers such as age, blood pressure level, and cognitive level at baseline. It could also be of help in identifying high-risk groups for further trials.
11.3.4.2. Recommendations
  • In patients with stroke, lowering blood pressure is effective for reducing the risk of PSD (Class I; Level of Evidence B).
  • There is reasonable evidence that in the middle-aged and young-elderly, lowering blood pressure can be useful for the prevention of late-life dementia (Class IIa; Level of Evidence B).
  • The usefulness of lowering blood pressure in people >80 years of age for the prevention of dementia is not well established (Class IIb; Level of Evidence B).
11.4. Diabetes
Patients with diabetes of long duration are at increased risk of cognitive decline, dementia, and depression, as well as other phenotypes associated with aging.438a Among risk factors for cognitive dysfunction and dementia, it has been documented that both hyperglycemia and hyperinsulinemia, as part of the metabolic process leading to type 2 diabetes mellitus, are associated with cognitive dysfunction and stroke dementia. This is often accompanied by other disturbances of mental function, such as depression or anxiety, all of these conditions being described as being more prevalent in established type 2 diabetes mellitus.438a
The treatment of hyperglycemia is associated with prevention of both microvascular and, to some degree, macrovascular events, based on data from a recent meta-analysis.457 However, the prevention of stroke has not been shown with careful control of blood glucose, and no studies have specifically investigated possible protective effects by reduction of hyperglycemia in mild VCI or early stages of dementia. Thus, intensified treatment of hyperglycemia is not protective of stroke,457 a risk factor for cognitive decline. In severe cases of hyperglycemia, the cognitive dysfunction is acutely impaired by hyperosmolar influences and electrolyte disturbances, conditions that are possible to improve by acute insulin therapy.
In the ADVANCE trial (Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation), the combined approach to treat both hyperglycemia and hypertension has been effective to reduce macrovascular end points and mortality. It was concluded that cognitive dysfunction is an independent predictor of clinical outcomes in patients with type 2 diabetes mellitus but does not modify the effects of blood pressure lowering or glucose control on the risk of major cardiovascular events.458
On the basis of a systematic review, there is no convincing evidence relating type or intensity of diabetic treatment to the prevention or management of cognitive impairment in type 2 diabetes mellitus.459 The possible effect of intensive control–induced hypoglycemia on cognitive function represents a relevant and yet-to-be-explored aspect in older people with diabetes.
11.4.1. Summary and Recommendation: Diabetes
Summary
Diabetes is an important risk factor for mental symptoms and cognitive impairment, but available data are based mostly on observational studies. The level of evidence for a protective effect of reduction of hyperglycemia is very low. Further intervention studies are needed to elucidate the role of reduction of hyperglycemia in prevention of cognitive impairment and dementia. Also, new antidiabetes drugs have to be tested in relation to prevention of cognitive impairment or dementia. There is a need to support new studies on the role of hyperglycemia and cognitive impairment and whether correction of hyperglycemia with old and new drugs could influence this process.
Recommendation
  • The effectiveness of treating diabetes/hyperglycemia for the prevention of dementia is not well established (Class IIb; Level of Evidence C).
11.5. Lipids
Hyperlipidemia or dyslipidemia is a metabolic condition of importance for cognitive function. Treatment with statin therapy has been documented to protect against stroke, both in primary460 and secondary studies, based on data from meta-analysis36 and a single trial, Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL).461
In the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER), after 4 years of treatment, no difference in cognitive function was shown, as evaluated by the MMSE, between patients receiving pravastatin or placebo.358 Several meta-analyses have concluded that there is no measurable influence of statin therapy on cognitive dysfunction in humans,462 even if animal experiments in rodents have supported the notion that some protection is offered by statin therapy.463 One statin intervention study completed in 2007 has not been presented thus far: the Cholesterol Lowering Agent to Slow Progression (CLASP) of Alzheimer's Disease Study.463a In the recently published Lipitor's Effect in Alzheimer's Dementia (LEADe) trial, which included 640 randomized patients with mild Alzheimer disease, intensive lipid lowering by the addition of atorvastatin (80 mg) to donepezil did not improve cognitive function over a 72-week period.464
11.5.1. Summary and Recommendation: Lipids
Summary
Although lipid control by statin therapy is able to prevent stroke, these drugs do not prevent cognitive decline in the elderly. There is scant evidence from observational studies on the effects of statin therapy on cognitive function, and the level of evidence is low. There is a need to support new studies on the role of hyperlipidemia and cognitive impairment and whether correction of hyperlipidemia with drug therapy could influence this process.
Recommendation
  • The usefulness of treatment of hyperlipidemia for prevention of dementia is uncertain (Class IIb; Level of Evidence C).
11.6. Other Interventions for Vascular Factors
11.6.1. Antiaggregants
Some observational studies have suggested a beneficial effect of aspirin on cognition,465,466 although this was not confirmed in others.467,468 Few trials on antiplatelet therapy have included a cognitive evaluation.441,469 In the Aspirin for Asymptomatic Atherosclerosis (AAA) trial, 3350 participants 50 to 75 years of age were randomly assigned to receive long-term use of enteric-coated aspirin 100 mg once daily or placebo. During a 5-year follow-up, no difference in cognitive ability was found between the aspirin and placebo arms.469 In the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) trial, 20 332 patients with ischemic stroke were randomly assigned in a 2×2 factorial design to receive either 25 mg of aspirin and 200 mg of extended-release dipyridamole twice a day or 75 mg of clopidogrel once a day and either 80 mg of telmisartan or placebo once a day to test primarily for recurrent stroke prevention, with cognitive decline or dementia as a nonprimary end point. After a median follow-up of 2.4 years, no difference was observed between the 2 antiplatelet regimens on any measure of cognition (median MMSE score ≤24) or severe cognitive decline (decrease in MMSE score ≥3 points between baseline and penultimate visit) or dementia.441
11.6.2. Lifestyle
A few observational studies have documented that people who consume a Mediterranean diet have better cognition and less risk of dementia than people consuming other diets.470 Recently, a better adherence to a Mediterranean-type dietary pattern was associated with less cognitive decline in a community with older subjects.471 There is no randomized controlled study of similar effects in healthy subjects.
The same beneficial effects of increased physical activity on cognitive function have also been documented in observational studies,472 but only 1 small intervention trial has followed up subjects for cognitive improvement after increasing physical exercise. Aerobic exercise has been shown to be useful. A study of 6 months’ duration in elderly women provides support, using rigorous controlled methodology, for a potent nonpharmacological intervention that improves executive control processes for older women at high risk of cognitive decline.473 At the same time, it would be informative to understand why some cognitive functions seem to improve with aerobic physical exercise whereas other functions seem to be insensitive to physical exercise.474 The results of a recently published meta-analysis on the effect of physical activity on cognitive decline, based on 15 observational studies, suggest a significant and consistent protection afforded by all levels of physical activity against the occurrence of cognitive decline.475
Smoking is a risk factor for stroke-associated dementia. There are no intervention studies to prove the benefits of smoking cessation on preserving cognitive function.
11.6.3. Vitamin Supplements
Studies have been performed to test whether vitamin supplements might improve cognitive function. According to 1 systematic review, there was no beneficial effect of folic acid 750 μg/d on measures of cognition or mood in healthy older women.476
In patients with mild to moderate cognitive decline and different forms of dementia, there was no benefit from folic acid on measures of cognition or mood.476 However, in another study from The Netherlands, supplementation with 800 μg daily of oral folic acid for 3 years in 818 participants significantly improved domains of cognitive function that tend to decline with age.477
With regard to lowering homocysteine by vitamin B supplementation, no benefit was shown in 1 Australian study that included 276 healthy elderly subjects with repeated tests of cognitive function after 1 and 2 years.478
11.6.4. Summary and Recommendations: Other Interventions
Summary
Adherence to a Mediterranean-type dietary pattern has been associated with less cognitive decline in several observational studies.
There is generally a lack of evidence for a positive benefit of antiaggregants and vitamin supplementation on cognitive function. No improvement of cognitive function has been proven when reduction of homocysteine was reached with supplementation with vitamin B. Therefore, evidence for these interventions is lacking, and they cannot be recommended.
A few observational studies and very few intervention trials have shown that lifestyle modification (eg, diet, physical activity) may improve cognitive function. Even though smoking is a well-known risk factor for vascular pathology, the role of smoking cessation has not been studied in relation to changes in cognitive function.
There is only limited evidence to support the idea that physical therapy could contribute to prevention of cognitive decline. There is a need to support new studies on the role of lifestyle interventions to prevent cognitive impairment and whether smoking cessation could influence this process.
Recommendations
  • A Mediterranean-type dietary pattern has been associated with less cognitive decline in several studies and may be reasonable (Class IIb; Level of Evidence B).
  • Vitamin supplementation is not proven to improve cognitive function, even if homocysteine levels have been positively influenced, and its usefulness is not well established (Class IIb; Level of Evidence B).
  • Physical activity might be considered for the prevention of cognitive impairment (Class IIb; Level of Evidence B), but the usefulness of other lifestyle or vitamin interventions is uncertain (Class IIb; Level of Evidence B).
  • The effectiveness of antiaggregant therapy for VCI is not well established (Class IIb; Level of Evidence B).
In developed countries, a rapid increase in the aged population is anticipated. In 2000, for example, there were 600 million people ≥60 years of age; it is estimated that by 2025 there will be 1.2 billion people in this age group, and by 2050, 2 billion. The oldest people in our population (≥80 years old) are a fast-growing group, and ≈20% experience important difficulties in performance of activities of daily living. Furthermore, cognitive impairment is a relatively common condition of the elderly that significantly affects their ability to live independently. The prevalence of dementia increases with advancing age and is estimated to affect ≥30% of people >80 years of age,264,479,480 with the annual cost of care being >$40 000 per patient in the United States. Identification of people at risk for cognitive impairment or mild forms of cognitive impairment (eg, MCI, VaMCI) holds promise for prevention or postponement of dementia and its sequelae and for public health cost savings.23,481,482 The opportunity to prevent or postpone cognitive impairment may be realized by assessment of cardiovascular and stroke risks and appropriate treatment of such risk markers. Cognitive function, an important predictor of morbidity and mortality in the elderly, however, is frequently not screened for in clinical practice as part of global cardiovascular risk and target-organ damage assessments.
As discussed in this statement, understanding of common causes of late-life cognitive impairment and dementia—Alzheimer disease and VCI—has advanced.483 It is now accepted that many of the traditional risk factors for stroke are also risk markers for Alzheimer disease and VCI.16,31,340,484491 In fact, there is an angiogenesis hypothesis for Alzheimer disease and a possible role for genes in neurovascular unit dysfunction in Alzheimer disease.107,492 Therefore, it has been proposed that there may be a convergence of pathogenic mechanisms in vascular and neurodegenerative processes that cause impairment of cognition.101,493 Epidemiological evidence to support the convergence of mechanisms is observed in studies that show traditional cardiovascular risk factors also heighten risk of Alzheimer disease. For example, in a cohort in Finland, the combination of elevated systolic blood pressure, hypercholesterolemia, and obesity increased the risk of Alzheimer disease by ≈6 times, whereas individually, any of these factors alone increased risk by ≈2 times.494
The epidemiological observations mentioned previously coupled with preclinical study findings have allowed us to consider shifting our prevention focus to more “upstream” targets such as shared vascular risk markers,484486 extrinsic (eg, somatic and mitochondrial mutations, advanced glycation end products, proinflammatory cytokines) and intrinsic (eg, telomere shortening, decreased decline in growth factors, apoptosis) mechanistic pathways that may influence prevention outcomes,495 and other novel approaches.107 Furthermore, we may now consider the possibility that Alzheimer disease is actually Alzheimer diseases, a group of disorders that could possibly be driven by different pathophysiological mechanisms.496 Support for this notion is based on evidence of disparate pathophysiological mechanisms by which vascular risk factors such as hypertension, diabetes, and dyslipidemia might cause or potentiate Alzheimer disease. Other data (F.T., P.B.G., unpublished data, 2010).
In addition, as subclinical CVBI, stroke, and vascular risk factors have been a major focus of this statement, a better understanding of the prevention of “silent” strokes and WMLs (ie, “covert” brain injury) is necessary, because these events may be associated with neuropsychological deficits and contribute to VCI and eventual manifest stroke sequelae risk.498 It is estimated that “silent” strokes outnumber clinically manifest ones by a factor of >9:1, and the proportion of those with a milder form of VCI is approximately 2-fold greater than those with a severe form of VCI (ie, VaD). This group of patients with covert brain injury might be one that is well suited for proof-of-concept studies of vascular risk factor control strategies.
In summary, this statement has discussed controversies in relation to vascular causes of cognitive impairment and dementia and the evidence for the role of vascular factors, arterial aging, and CVBI in cognitive impairment. A current course of action for furthering our understanding of vascular contributions to cognitive impairment and dementia has been recommended previously.499 It takes into account transdisciplinary, translational, and transactional opportunities and recommends taking advantage of shared pathophysiological mechanisms of many brain diseases that may influence cognition, cross-disciplinary expertise, new therapeutic targets for planning clinical trials, the underexplored and under-exploited borderlands between stroke and Alzheimer disease, the “brain at risk” or in the disease-induction stage, and systematic integration strategies.
To develop an action plan, we need to consider establishment of the following research programs to advance the field:
  • Continued development, validation, and refinement of practicable cognitive batteries for testing people with VCI within and across geographic, cultural, and ethnic regions.5
  • Continued pursuit of novel neuroimaging methodology to identify biomarkers and risks for CVBI associated with VCI.500
  • Establishment of additional longitudinal clinical-neuropathological studies with neuroradiological correlation.
  • Development of nationally funded centers of excellence for the study of CVBI and vascular contributions to cognitive impairment and dementia with transdisciplinary, translational, and transactional links within and between centers.
  • Midlife and later-life cost-effectiveness research and proper, statistically powered, randomized controlled clinical trials targeting key vascular risk markers and the influence of their control on prevention of VCI and Alzheimer disease.496
  • Preclinical and clinical studies to better understand the influence of aging on major arteries and the neurovascular unit.
  • Studies to identify novel risk markers for vascular contributions to cognitive impairment and dementia.
  • Studies to better understand the relationship between location, severity, and extent of vascular brain injury and the resultant cognitive syndromes, while simultaneously accounting for coexisting age-related pathologies and cognitive reserve. These programs should include a search for genetic and other novel factors with an overarching goal to identify new strategies for prevention or treatment of VCI. Preliminary study of interventions among people with vascular risk factors and clinically defined CVBI may be a first step for testing prevention strategies before embarking on full-scale clinical trials.
With such advances in the field in basic science, pharmacology, epidemiology, neuroradiology, and neuropathology, we will then be better positioned to guide clinicians in relation to practice challenges such as the following:
  • Choice of neuropsychological test battery and frequency of neuropsychological testing to detect VCI and related forms of cognitive impairment.
  • Value of and targets for control of various cardiovascular risk factors to prevent cognitive impairment.
  • Application and interpretation of genetic and other novel vascular risk markers for VCI.
Currently, in the absence of such definitive data for guidance, we encourage clinicians to use screening tools to detect cognitive impairment in their older patients (eg, www.mocatest.org) and to continue to treat vascular risks according to nationally or regionally accepted guidelines. Recently published statements in 2011 from the American Heart Association on the prevention of first and recurrent stroke provide useful targets for risk factor management, although these recommendations have not been specifically tested in patients with VCI.501,502
Appendix
Disclosures Writing Group Disclosures
Writing Group MemberEmploymentResearch GrantOther Research SupportSpeakers’ Bureau/HonorariaExpert WitnessOwnership InterestConsultant/Advisory BoardOther
Philip B. GorelickUniversity of IllinoisNoneNoneNoneNoneNoneNoneNone
Angelo ScuteriINRCA–IRCCS
(Rome, Italy)
NoneNoneNoneNoneNoneNoneNone
Donna K. ArnettUniversity of Alabama
at Birmingham
NoneNoneNoneNoneNoneNoneNone
David A. BennettRush University
Medical Center
NoneNoneNoneNoneNoneNoneNone
Sandra E. BlackUniversity of
Toronto
NIHNoneEisai*; Janssen-Ortho*; Lundbeck*; Novartis Pharmaceuticals*; Pfizer*NoneNoneBristol-Myers Squibb*;
Elan Pharmaceuticals*;
GlaxoSmithKline*;
Janssen-Ortho*;
Lundbeck*;
Novartis Pharmaceuticals*;
Pfizer Wyeth Pharmaceuticals*
None
Helena C. ChuiUniversity of
Southern California
NoneNoneNoneNoneNoneNoneNone
Charles DeCarlUniversity of California,
Davis
Merck; NIHNoneNoneNoneNoneBristol-Myers Squibb*;
Merck*;
Theravance*
None
Steven M. GreenbergMassachusetts General
Hospital
NIH; NINDSNoneNoneNoneNoneBristol-Myers Squibb*;
Hoffmann-La Roche*;
Janssen Alzheimer Immunotherapy*;
Medtronic*
None
Randall T. HigashidaUniversity of California
at San Francisco
NoneNoneNoneNoneNoneNoneNone
Costantino IadecolaWeill Cornell
Medical College
NIH/NINDSNoneNoneNoneNoneNoneNone
Lenore J. LaunerNational Institutes of Health–
National Institute on Aging
NIHNoneNoneNoneNoneNoneNone
Stephane LaurentUniversity of Paris
Descartes
Daiichi-Sankyo*;
Novartis*;
Servier*
NoneAstraZeneca*;
Boehringer Ingelheim*;
Chiesi*; Daiichi-Sankyo*;
Negma*;
Novartis*;
Pfizer*; Recordati*;
Servier*
NoneNoneNoneNone
Ruth LindquistUniversity of Minnesota
and Minneapolis
Heart Institute
NoneNoneNoneNoneNoneNoneNone
Oscar L. LopezUniversity of
Pittsburgh
NIANoneNoneNoneNoneBristol-Myers Squibb*;
Pfizer*
None
Peter M. NilssonLund University
of Sweden
NoneNoneNoneNoneNoneNoneNone
David NyenhuisUniversity of
Illinois
NIH/NINDSNoneNoneNoneNoneNoneNone
Ronald C. PetersenMayo ClinicNoneNoneNoneNoneNoneElan Pharma*;
GE Healthcare*;
Wyeth Pharmaceuticals*
None
Gustavo C. RomanMethodist Neurological
Institute in
Houston, TX
NoneNoneFerrer*NoneNoneFerrer*None
Julie A. SchneiderRush Alzheimer's
Disease Center–
Rush University
NIHNoneNoneNoneNoneAvid Radiopharmaceuticals*;
GE Healthcare*
None
Frank W. SellkeLifespan,
Brown Medical School
Capstone*;
Ikaria*;
NIH
NoneNonePfizerNoneCubist DSMB*;
Edwards Lifesciences DSMB*;
Novo Nordisk DSMB*
None
Sudha SeshadriBoston University
School of Medicine
NIANoneNoneNoneNoneNoneNone
Christophe TzourioINSERM–Paris,France
(National Institute for
Health and Medical Research)
French Alzheimer PlanNoneNoneNoneNoneNoneNone
This table represents the relationships of writing group members that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all members of the writing group are required to complete and submit. A relationship is considered to be “significant” if (1) the person receives $10 000 or more during any 12-month period, or 5% or more of the person's gross income; or (2) the person owns 5% or more of the voting stock or share of the entity, or owns $10 000 or more of the fair market value of the entity. A relationship is considered to be “modest” if it is less than “significant” under the preceding definition.
*Modest.
Significant.
Reviewer Disclosures
ReviewerEmploymentResearch GrantOther Research SupportSpeakers’ Bureau/HonorariaExpert WitnessOwnership InterestConsultant/Advisory BoardOther
Roberto BernabeiCatholic University, RomeNoneNoneNoneNoneNoneNoneNone
Colin P. DerdeynWashington UniversityNoneNoneNoneNoneNoneNoneNone
Randy MarshallColumbia UniversityNIHNoneNoneNoneNoneNoneNone
Eric E. SmithUniversity of CalgaryNational Institutes of Health; Canadian Institutes for Health Research; Alberta Innovates–Health Solutions; Canadian Stroke Network; Heart and Stroke Foundation of CanadaNoneCanadian Conference on Dementia*; QuantiaMD*; BMJ Group*NoneNoneGenentech*None
This table represents the relationships of reviewers that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all reviewers are required to complete and submit. A relationship is considered to be “significant” if (1) the person receives $10 000 or more during any 12-month period, or 5% or more of the person's gross income; or (2) the person owns 5% or more of the voting stock or share of the entity, or owns $10 000 or more of the fair market value of the entity. A relationship is considered to be “modest” if it is less than “significant” under the preceding definition.
*Modest.
Significant.
Footnotes
The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.
This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on May 2, 2011. A copy of the document is available at http://my.americanheart.org/statements by selecting either the “By Topic” link or the “By Publication Date” link.
The American Heart Association requests that this document be cited as follows: Gorelick PB, Scuteri A, Black SE, DeCarli C, Greenberg SM, Iadecola C, Launer LJ, Laurent S, Lopez OL, Nyenhuis D, Petersen RC, Schneider JA, Tzourio C, Arnett DK, Bennett DA, Chui HC, Higashida RT, Lindquist R, Nilsson PM, Roman GC, Sellke FW, Seshadri S; on behalf of the American Heart Association Stroke Council, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on Cardiovascular Radiology and Intervention, and Council on Cardiovascular Surgery and Anesthesia. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association.
Expert peer review of AHA Scientific Statements is conducted at the AHA National Center. For more on AHA statements and guidelines development, visit http://my.americanheart.org/statements and select the “Policies and Development” link.
Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at http://www.heart.org/HEARTORG/General/Copyright-Permission-Guidelines_UCM_300404_Article.jsp. A link to the “Copyright Permissions Request Form” appears on the right side of the page.
1. Ganguli M. Epidemiology of dementia. In: Abou-Saleh MT, Katona C, Kumar A, editors. Principles and Practice of Geriatric Psychiatry. 3rd ed. Wiley; Hoboken, NJ: 2011. chap 38.
2. Jellinger KA. Morphologic diagnosis of “vascular dementia”: a critical update. J Neurol Sci. 2008;270:1–12. [PubMed]
3. Kalaria RN, Maestre GE, Arizaga R, Friedland RP, Galasko D, Hall K, Luchsinger JA, Ogunniyi A, Perry EK, Potocnik F, Prince M, Stewart R, Wimo A, Zhang ZX, Antuono P., World Federation of Neurology Dementia Research Group Alzheimer's disease and vascular dementia in developing countries: prevalence, management, and risk factors [published correction appears in Lancet Neurol. 2008 Oct;7:867]. Lancet Neurol. 2008;7:812–826. [PMC free article] [PubMed]
4. Fitzpatrick AL, Kuller LH, Ives DG, Lopez OL, Jagust W, Breitner JC, Jones B, Lyketsos C, Dulberg C. Incidence and prevalence of dementia in the Cardiovascular Health Study. J Am Geriatr Soc. 2004;52:195–204. [PubMed]
5. Hachinski V, Iadecola C, Petersen RC, Breteler MM, Nyenhuis DL, Black SE, Powers WJ, DeCarli C, Merino JG, Kalaria RN, Vinters HV, Holtzman DM, Rosenberg GA, Wallin A, Dichgans M, Marler JR, Leblanc GG. National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards [published correction appears in Stroke. 2007;38:1118]. Stroke. 2006;37:2220–2241. [PubMed]
6. Hachinski V. Preventable senility: a call for action against the vascular dementias. Lancet. 1992;340:645–648. [PubMed]
7. O'Brien JT, Wiseman R, Burton EJ, Barber B, Wesnes K, Saxby B, Ford GA. Cognitive associations of subcortical white matter lesions in older people. Ann N Y Acad Sci. 2002;977:436–444. [PubMed]
8. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–699. [PubMed]
9. Chui HC. Vascular cognitive impairment: today and tomorrow. Alzheimers Dement. 2006;2:185–194. [PubMed]
10. Román GC, Tatemichi TK, Erkinjuntti T, Cummings JL, Masdeu JC, Garcia JH, Amaducci L, Orgogozo J-M, Brun A, Hofman A, Moody DM, O'Brien MD, Yamaguchi T, Grafman J, Drayer BP, Bennett DA, Fisher M, Oguta J, Kokmen E, Bermejo F, Wolf PA, Gorelick PB, Bick KL, Pajeau AK, Bell MA, DeCarli A, Culebras A, Korczyn AD, Bogousslavsky J, Hartmann A, Scheinberg P. Vascular dementia: diagnostic criteria for research studies: report of the NINDS-AIREN International Workshop. Neurology. 1993;43:250–260. [PubMed]
11. Hachinski VC, Lassen NA, Marshall J. Multi-infarct dementia: a cause of mental deterioration in the elderly. Lancet. 1974;2:207–210. [PubMed]
12. Schneider JA, Arvanitakis Z, Bang W, Bennett DA. Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology. 2007;69:2197–2204. [PubMed]
13. White L, Small BJ, Petrovitch H, Ross GW, Masaki K, Abbott RD, Hardman J, Davis D, Nelson J, Markesbery W. Recent clinical-pathologic research on the causes of dementia in late life: update from the Honolulu-Asia Aging Study. J Geriatr Psychiatry Neurol. 2005;18:224–227. [PubMed]
14. Longstreth WT, Jr, Bernick C, Manolio TA, Bryan N, Jungreis CA, Price TR. Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people: the Cardiovascular Health Study. Arch Neurol. 1998;55:1217–1225. [PubMed]
15. Longstreth WT, Jr, Manolio TA, Arnold A, Burke GL, Bryan N, Jungreis CA, Enright PL, O'Leary D, Fried L. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people: the Cardiovascular Health Study. Stroke. 1996;27:1274–1282. [PubMed]
16. Snowdon DA, Grainer LH, Mortimer JA, Riley KP, Grainer PA, Markesbery WR. Brain infarction and the clinical expression of Alzheimer disease: the Nun Study. JAMA. 1997;277:813–817. [PubMed]
17. Schneider JA, Wilson RS, Bienias JL, Evans DA, Bennett DA. Cerebral infarctions and the likelihood of dementia from Alzheimer disease pathology. Neurology. 2004;62:1148–1155. [PubMed]
18. Petrovitch H, Ross GW, Steinhorn SC, Abbott RD, Markesbery W, Davis D, Nelson J, Hardman J, Masaki K, Vogt MR, Launer L, White LR. AD lesions and infarcts in demented and non-demented Japanese-American men. Ann Neurol. 2005;57:98–103. [PubMed]
19. Chui HC, Victoroff JI, Margolin D, Jagust W, Shankle R, Katzman R. Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer's Disease Diagnostic and Treatment Centers. Neurology. 1992;42:473–480. [PubMed]
20. Erkinjunnti T, Inzitari D, Pantoni L, Wallin A, Scheltens P, Rockwood K, Roman GC, Chui H, Desmond DW. Research criteria for subcortical vascular dementia in clinical trials. J Neural Tranms Suppl. 2000;59:23–30. [PubMed]
21. O'Brien JT, Erkinjuntti T, Reisberg B, Roman G, Sawada T, Pantoni L, Bowler JV, Ballard C, DeCarli C, Gorelick PB, Rockwood K, Burns A, Gauthier S, DeKosky ST. Vascular cognitive impairment. Lancet Neurol. 2003;2:89–98. [PubMed]
22. Sachdev PS, Chen X, Brodaty H, Thompson C, Altendorf A, Wen W. The determinants and longitudinal course of post-stroke mild cognitive impairment. J Int Neuropsychol Soc. 2009;15:915–923. [PubMed]
23. Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome [published correction appears in Arch Neurol. 1999;56:760]. Arch Neurol. 1999;56:303–308. [PubMed]
24. American Psychiatric Association DSM-IV: Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Association; Washington, DC: 1994.
25. World Health Organization The ICD-10 Classification of Mental and Behavioral Disorders: Diagnostic Criteria for Research. World Health Organization; Geneva, Switzerland: 1993.
26. Lopez OL, Larumbe MR, Becker JT, Rezek D, Rosen J, Klunk W, DeKosky ST. Reliability of NINDS-AIREN criteria for the diagnosis of vascular dementia. Neurology. 1994;44:1240–1245. [PubMed]
27. Benson DF, Cummings JL, Tsai SY. Angular gyrus syndrome simulating Alzheimer's disease. Arch Neurol. 1982;39:616–620. [PubMed]
28. Damasio AR, Damasio H. The anatomic basis of pure alexia. Neurology. 1983;33:1573–1583. [PubMed]
29. Lopez OL, Kuller LH, Becker JT, Jagust WJ, DeKosky ST, Fitzpatrick A, Breitner J, Lyketsos C, Kawas C, Carlson M. Classification of vascular dementia in the Cardiovascular Health Study Cognition Study. Neurology. 2005;64:1539–1547. [PubMed]
30. Tatemichi TK, Desmond DW, Mayeux R, Paik M, Stern Y, Sano M, Remien RH, Williams JB, Mohr JP, Hauser WA. Dementia after stroke: baseline frequency, risks, and clinical features in a hospitalized cohort. Neurology. 1992;42:1185–1193. [PubMed]
31. Esiri MM, Wilcock GK, Morris JH. Neuropathological assessment of the lesions of significance in vascular dementia. J Neurol Neurosurg Psychiatry. 1997;63:749–753. [PMC free article] [PubMed]
32. Hulette C, Nochlin D, McKeel DW, Morris JC, Mirra SS, Sumi SM, Heyman A. Clinical-neuropathologic findings in multi-infarct dementia: a report of six autopsied cases. Neurology. 1997;48:668–672. [PubMed]
33. Chabriat H, Joutel A, Dichgans M, Tournier-Lasserve E, Bousser MG. CADASIL. Lancet Neurol. 2009;8:643–653. [PubMed]
34. Kuller LH, Lopez OL, Jagust WJ, Becker JT, DeKosky ST, Lyketsos C, Kawas C, Breitner JC, Fitzpatrick A, Dulberg C. Determinants of vascular dementia in the Cardiovascular Health Cognition Study. Neurology. 2005;64:1548–1552. [PMC free article] [PubMed]
35. Harboe E, Tjensvoll AB, Maroni S, Gøransson LG, Greve OJ, Beyer MK, Herigstad A, Kvaløy JT, Omdal R. Neuropsychiatric syndromes in patients with systemic lupus erythematosus and primary Sjögren syndrome: a comparative population-based study. Ann Rheum Dis. 2009;68:1541–1546. [PubMed]
36. Ainiala H, Dastidar P, Loukkola J, Lehtimäki T, Korpela M, Peltola J, Hietaharju A. Cerebral MRI abnormalities and their association with neuropsychiatric manifestations in SLE: a population-based study. Scand J Rheumatol. 2005;34:376–382. [PubMed]
37. Chui HC, Zarow C, Mack WJ, Ellis WG, Zheng L, Jagust WJ, Mungas D, Reed BR, Kramer JH, DeCarli CC, Weiner MW, Vinters HV. Cognitive impact of subcortical vascular and Alzheimer's disease pathology. Ann Neurol. 2006;60:677–687. [PMC free article] [PubMed]
38. Cordoliani-Mackowiak MA, Hénon H, Pruvo JP, Pasquier F, Leys D. Poststroke dementia: influence of hippocampal atrophy. Arch Neurol. 2003;60:585–590. [PubMed]
39. Schneider JA, Wilson RS, Cochran EJ, Bienias JL, Arnold SE, Evans DA, Bennett DA. Relation of cerebral infarctions to dementia and cognitive function in older persons. Neurology. 2003;60:1082–1088. [PubMed]
40. Manly JJ, Bell-McGinty S, Tang MX, Schupf N, Stren Y, Mayeux R. Implementing diagnostic criteria and estimating frequency of mild cognitive impairment in an urban community. Arch Neurol. 2005;62:1739–1746. [PubMed]
41. Lopez OL, Becker JT, Jagust WJ, Fitzpatrick A, Carlson MC, DeKosky ST, Breitner J, Lyketsos CG, Jones B, Kawas C, Kuller LH. Neuropsychological characteristics of mild cognitive impairment subgroups. J Neurol Neurosurg Psychiatry. 2006;77:159–165. [PMC free article] [PubMed]
42. Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183–194. [PubMed]
43. Breteler MM, van Swieten JC, Bots ML, Grobbee DE, Claus JJ, van den Hout JH, van Harskamp F, Tanghe HL, de Jong PT, van Gijn J, Hofman A. Cerebral white matter lesions, vascular risk factors, and cognitive function in a population-based study: the Rotterdam Study. Neurology. 1994;44:1246–1252. [PubMed]
44. Hanly JG, Walsh NM, Fisk JD, Eastwood B, Hong C, Sherwood G, Jones JV, Jones E, Elkon K. Cognitive impairment and autoantibodies in systemic lupus erythematosus. Br J Rheumatol. 1993;32:291–296. [PubMed]
45. Petri M, Naqibuddin M, Carson KA, Wallace DJ, Weisman MH, Holliday SL, Sampedro M, Padilla PA, Brey RL. Depression and cognitive impairment in newly diagnosed systemic lupus erythematosus. J Rheumatol. 2010;37:2032–2038. [PubMed]
46. Selnes OA, Royall RM, Grega MA, Borowicz LM, Jr, Quaskey S, McKhann GM. Cognitive changes 5 years after coronary artery bypass grafting: is there evidence of late decline? Arch Neurol. 2001;58:598–604. [PubMed]
47. Steffens DC, Otey E, Alexopoulos GS, Butters MA, Cuthbert B, Ganguli M, Geda YE, Hendrie HC, Krishnan RR, Kumar A, Lopez OL, Lyketsos CG, Mast BT, Morris JC, Norton MC, Peavy GM, Petersen RC, Reynolds CF, Salloway S, Welsh-Bohmer KA, Yesavage J. Perspectives on depression, mild cognitive impairment, and cognitive decline. Arch Gen Psychiatry. 2006;63:130–138. [PubMed]
48. Ballard C, Neill D, O'Brien J, McKeith IG, Ince P, Perry R. Anxiety, depression and psychosis in vascular dementia: prevalence and associations. J Affect Disord. 2000;59:97–106. [PubMed]
49. Reed BR, Mungas DM, Kramer JH, Ellis W, Vinters HV, Zarow C, Jagust WJ, Chui HC. Profiles of neuropsychological impairment in autopsy-defined Alzheimer's disease and cerebrovascular disease. Brain. 2007;130:731–739. [PubMed]
50. Gainotti G, Ferraccioli M, Vita MG, Marra C. Patterns of neuropsycho-logical impairment in MCI patients with small subcortical infarcts or hippocampal atrophy. J Int Neuropsychol Soc. 2008;14:611–619. [PubMed]
51. Tomlinson BE, Blessed G, Roth M. Observations on the brains of demented old people. J Neurol Sci. 1970;11:205–242. [PubMed]
52. Kalaria RN, Kenny RA, Ballard CG, Perry R, Ince P, Polvikoski T. Towards defining the neuropathological substrates of vascular dementia. J Neurol Sci. 2004;226:75–80. [PubMed]
53. Bennett DA, Schneider JA, Bienias JL, Evans DA, Wilson RS. Mild cognitive impairment is related to Alzheimer disease pathology and cerebral infarctions. Neurology. 2005;64:834–841. [PubMed]
54. Schneider JA, Aggarwal NT, Barnes L, Boyle P, Bennett DA. The neuropathology of older persons with and without dementia from community versus clinic cohorts. J Alzheimers Dis. 2009;18:691–701. [PMC free article] [PubMed]
55. Neuropathology Group of the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS) Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales. Lancet. 2001;357:169–175. [PubMed]
56. Sonnen JA, Larson EB, Crane PK, Haneuse S, Li G, Schellenberg GD, Craft S, Leverenz JB, Montine TJ. Pathological correlates of dementia in a longitudinal, population-based sample of aging. Ann Neurol. 2007;62:406–413. [PubMed]
57. Esiri MM, Nagy Z, Smith MZ, Barnetson L, Smith AD. Cerebrovascular disease and threshold for dementia in the early stages of Alzheimer's disease. Lancet. 1999;354:919–920. [PubMed]
58. Vinters HV, Ellis WG, Zarow C, Zaias BW, Jagust WJ, Mack WJ, Chui HC. Neuropathologic substrates of ischemic vascular dementia. J Neuropathol Exp Neurol. 2000;59:931–945. [PubMed]
59. Schneider JA, Boyle PA, Arvanitakis Z, Bienias JL, Bennett DA. Sub-cortical infarcts, Alzheimer's disease pathology, and memory function in older persons. Ann Neurol. 2007;62:59–66. [PubMed]
60. Elkins JS, Longstreth WT, Jr, Manolio TA, Newman AB, Bhadelia RA, Johnston SC. Education and the cognitive decline associated with MRI-defined brain infarct. Neurology. 2006;67:435–440. [PubMed]
61. Schneider JA, Arvanitakis Z, Leurgans SE, Bennett DA. The neuropathology of probable Alzheimer disease and mild cognitive impairment. Ann Neurol. 2009;66:200–208. [PMC free article] [PubMed]
62. Haneuse S, Larson E, Walker R, Montine T, Sonnen J. Neuropathology-based risk scoring for dementia diagnosis in the elderly. J Alzheimers Dis. 2009;17:875–885. [PMC free article] [PubMed]
63. Matthews FE, Brayne C, Lowe J, McKeith I, Wharton SB, Ince P. Epidemiological pathology of dementia: attributable-risks at death in the Medical Research Council Cognitive Function and Ageing Study. PLoS Med. 2009;6:e1000180. [PMC free article] [PubMed]
64. DeKosky ST, Ikonomovic MD, Styren SD, Beckett L, Wisniewski S, Bennett DA, Cochran EJ, Kordower JH, Mufson EJ. Upregulation of choline acetyltransferase activity in hippocampus and frontal cortex of elderly subjects with mild cognitive impairment. Ann Neurol. 2002;51:145–155. [PubMed]
65. Galvin JE, Powlishta KK, Wilkins K, McKeel DW, Jr, Xiong C, Grant E, Storandt M, Morris JC. Predictors of preclinical Alzheimer disease and dementia: a clinicopathologic study. Arch Neurol. 2005;62:758–765. [PubMed]
66. Markesbery WR, Schmitt FA, Kryscio RJ, Davis DG, Smith CD, Wekstein DR. Neuropathologic substrate of mild cognitive impairment. Arch Neurol. 2006;63:38–46. [PubMed]
67. Petersen RC, Parisi JE, Dickson DW, Johnson KA, Knopman DS, Boeve BF, Jicha GA, Ivnik RJ, Smith GE, Tangalos EG, Braak H, Kokmen E. Neuropathologic features of amnestic mild cognitive impairment. Arch Neurol. 2006;63:665–672. [PubMed]
68. Sabbagh MN, Shah F, Reid RT, Sue L, Connor DJ, Peterson LK, Beach TG. Pathologic and nicotinic receptor binding differences between mild cognitive impairment, Alzheimer disease, and normal aging. Arch Neurol. 2006;63:1771–1776. [PubMed]
69. Saito Y, Murayama S. Neuropathology of mild cognitive impairment. Neuropathology. 2007;27:578–584. [PubMed]
70. Fernando MS, Ince PG., MRC Cognitive Function and Ageing Neuro-pathology Study Group Vascular pathologies and cognition in a population-based cohort of elderly people. J Neurol Sci. 2004;226:13–17. [PubMed]
71. Fernando MS, Simpson JE, Matthews F, Brayne C, Lewis CE, Barber R, Kalaria RN, Forster G, Esteves F, Wharton SB, Shaw PJ, O'Brien JT, Ince PG., MRC Cognitive Function and Ageing Neuropathology Study Group White matter lesions in an unselected cohort of the elderly: molecular pathology suggests origin from chronic hypoperfusion injury. Stroke. 2006;37:1391–1398. [PubMed]
72. Vinters HV, Gilbert JJ. Cerebral amyloid angiopathy: incidence and complications in the aging brain, II: the distribution of amyloid vascular changes. Stroke. 1983;14:924–928. [PubMed]
73. Furuta A, Ishii N, Nishihara Y, Horie A. Medullary arteries in aging and dementia. Stroke. 1991;22:442–446. [PubMed]
74. Vernooij MW, van der Lugt A, Ikram MA, Wielopolski PA, Niessen WJ, Hofman A, Krestin GP, Breteler MM. Prevalence and risk factors of cerebral microbleeds: the Rotterdam Scan Study. Neurology. 2008;70:1208–1214. [PubMed]
75. Jeerakathil T, Wolf PA, Beiser A, Hald JK, Au R, Kase CS, Massaro JM, DeCarli C. Cerebral microbleeds: prevalence and associations with cardiovascular risk factors in the Framingham Study. Stroke. 2004;35:1831–1835. [PubMed]
76. Kirsch W, McAuley G, Holshouser B, Petersen F, Ayaz M, Vinters HV, Dickson C, Haacke EM, Britt W, 3rd, Larseng J, Kim I, Mueller C, Schrag M, Kido D. Serial susceptibility weighted MRI measures brain iron and microbleeds in dementia. J Alzheimers Dis. 2009;17:599–609. [PMC free article] [PubMed]
77. Cordonnier C, van der Flier WM, Sluimer JD, Leys D, Barkhof F, Scheltens P. Prevalence and severity of microbleeds in a memory clinic setting. Neurology. 2006;66:1356–1360. [PubMed]
78. Brun A, Englund E. A white matter disorder in dementia of the Alzheimer type: a pathoanatomical study. Ann Neurol. 1986;19:253–262. [PubMed]
79. Fazekas F, Kleinert R, Roob G, Kleinert G, Kapeller P, Schmidt R, Hartung HP. Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds. AJNR Am J Neuroradiol. 1999;20:637–642. [PubMed]
80. Tanaka A, Ueno Y, Nakayama Y, Takano K, Takebayashi S. Small chronic hemorrhages and ischemic lesions in association with spontaneous intracerebral hematomas. Stroke. 1999;30:1637–1642. [PubMed]
81. Lee DY, Fletcher E, Martinez O, Ortega M, Zozulya N, Kim J, Tran J, Buonocore M, Carmichael O, DeCarli C. Regional pattern of white matter microstructural changes in normal aging, MCI, and AD. Neurology. 2009;73:1722–1728. [PMC free article] [PubMed]
82. Jagust WJ, Zheng L, Harvey DJ, Mack WJ, Vinters HV, Weiner MW, Ellis WG, Zarow C, Mungas D, Reed BR, Kramer JH, Schuff N, DeCarli C, Chui HC. Neuropathological basis of magnetic resonance images in aging and dementia. Ann Neurol. 2008;63:72–80. [PMC free article] [PubMed]
83. Zarow C, Sitzer TE, Chui HC. Understanding hippocampal sclerosis in the elderly: epidemiology, characterization, and diagnostic issues. Curr Neurol Neurosci Rep. 2008;8:363–370. [PubMed]
84. Jack CR, Jr, Petersen RC, Xu YC, O'Brien PC, Smith GE, Ivnik RJ, Boeve BF, Waring SC, Tangalos EG, Kokmen E. Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology. 1999;52:1397–1403. [PMC free article] [PubMed]
85. Report of the Stroke Progress Review Group. National Institute of Neurological Disorders and Stroke; Bethesda, MD: 2002.
86. Moskowitz MA, Lo EH, Iadecola C. The science of stroke: mechanisms in search of treatments [published correction appears in Neuron. 2010; 68:161]. Neuron. 2010;67:181–198. [PMC free article] [PubMed]
87. Iadecola C, Nedergaard M. Glial regulation of the cerebral microvasculature. Nat Neurosci. 2007;10:1369–1376. [PubMed]
88. Paulson OB, Hasselbalch SG, Rostrup E, Knudsen GM, Pelligrino D. Cerebral blood flow response to functional activation. J Cereb Blood Flow Metab. 2010;30:2–14. [PMC free article] [PubMed]
89. van Beek AH, Claassen JA, Rikkert MG, Jansen RW. Cerebral auto-regulation: an overview of current concepts and methodology with special focus on the elderly. J Cereb Blood Flow Metab. 2008;28:1071–1085. [PubMed]
90. Wolburg H, Noell S, Mack A, Wolburg-Buchholz K, Fallier-Becker P. Brain endothelial cells and the glio-vascular complex. Cell Tissue Res. 2009;335:75–96. [PubMed]
91. Andresen J, Shafi NI, Bryan RM., Jr Endothelial influences on cerebrovascular tone. J Appl Physiol. 2006;100:318–327. [PubMed]
92. Serrats J, Schiltz JC, García-Bueno B, van Rooijen N, Reyes TM, Sawchenko PE. Dual roles for perivascular macrophages in immune-to-brain signaling. Neuron. 2010;65:94–106. [PMC free article] [PubMed]
93. Furie B, Furie BC. Mechanisms of thrombus formation. N Engl J Med. 2008;359:938–949. [PubMed]
94. Abbott NJ, Patabendige AAK, Dolman DEM, Yusof SR, Begley DJ. Structure and function of the blood-brain barrier. Neurobiol Dis. 2010;37:13–25. [PubMed]
95. Zlokovic BV. The blood-brain barrier in health and chronic neurode-generative disorders. Neuron. 2008;57:178–201. [PubMed]
96. Guo S, Kim WJ, Lok J, Lee SR, Besancon E, Luo BH, Stins MF, Wang X, Dedhar S, Lo EH. Neuroprotection via matrix-trophic coupling between cerebral endothelial cells and neurons. Proc Natl Acad Sci U S A. 2008;105:7582–7587. [PubMed]
97. Ohab J, Fleming S, Blesch A, Carmichael S. A neurovascular niche for neurogenesis after stroke. J Neurosci. 2006;26:13007–13016. [PubMed]
98. Ward NL, Lamanna JC. The neurovascular unit and its growth factors: coordinated response in the vascular and nervous systems. Neurol Res. 2004;26:870–883. [PubMed]
99. Louissaint A, Jr, Rao S, Leventhal C, Goldman SA. Coordinated interaction of neurogenesis and angiogenesis in the adult songbird brain. Neuron. 2002;34:945–960. [PubMed]
100. Iadecola C. Neurovascular regulation in the normal brain and in Alzheimer's disease. Nat Rev Neurosci. 2004;5:347–360. [PubMed]
101. Iadecola C, Davisson RL. Hypertension and cerebrovascular dys-function. Cell Metab. 2008;7:476–484. [PMC free article] [PubMed]
102. Iadecola C, Park L, Capone C. Threats to the mind: aging, amyloid, and hypertension. Stroke. 2009;40(suppl):S40–S44. [PMC free article] [PubMed]
103. Zacchigna S, Lambrechts D, Carmeliet P. Neurovascular signalling defects in neurodegeneration. Nat Rev Neurosci. 2008;9:169–181. [PubMed]
104. Kalaria RN. Linking cerebrovascular defense mechanisms in brain ageing and Alzheimer's disease. Neurobiol Aging. 2009;30:1512–1514. [PubMed]
105. Selnes OA, Vinters HV. Vascular cognitive impairment. Nat Clin Pract Neurol. 2006;2:538–547. [PubMed]
106. Brown WR, Moody DM, Thore CR, Challa VR, Anstrom JA. Vascular dementia in leukoaraiosis may be a consequence of capillary loss not only in the lesions, but in normal-appearing white matter and cortex as well. J Neurol Sci. 2007;257:62–66. [PMC free article] [PubMed]
107. Wu Z, Guo H, Chow N, Sallstrom J, Bell RD, Deane R, Brooks AI, Kanagala S, Rubio A, Sagare A, Liu D, Li F, Armstrong D, Gasiewicz T, Zidovetzki R, Song X, Hofman F, Zlokovic BV. Role of the MEOX2 homeobox gene in neurovascular dysfunction in Alzheimer disease. Nat Med. 2005;11:959–965. [PubMed]
108. Simpson JE, Fernando MS, Clark L, Ince PG, Matthews F, Forster G, O'Brien JT, Barber R, Kalaria RN, Brayne C, Shaw PJ, Lewis CE, Wharton SB., MRC Cognitive Function and Ageing Neuropathology Study Group White matter lesions in an unselected cohort of the elderly: astrocytic, microglial and oligodendrocyte precursor cell responses. Neuropathol Appl Neurobiol. 2007;33:410–419. [PubMed]
109. Weller RO, Boche D, Nicoll JA. Microvasculature changes and cerebral amyloid angiopathy in Alzheimer's disease and their potential impact on therapy. Acta Neuropathol. 2009;118:87–102. [PubMed]
110. Fotuhi M, Hachinski V, Whitehouse PJ. Changing perspectives regarding late-life dementia. Nat Rev Neurol. 2009;5:649–658. [PubMed]
111. Modrick ML, Didion SP, Sigmund CD, Faraci FM. Role of oxidative stress and AT1 receptors in cerebral vascular dysfunction with aging. Am J Physiol Heart Circ Physiol. 2009;296:H1914–H1919. [PubMed]
112. Park L, Anrather J, Girouard H, Zhou P, Iadecola C. Nox2-derived reactive oxygen species mediate neurovascular dysregulation in the aging mouse brain. J Cereb Blood Flow Metab. 2007;27:1908–1918. [PubMed]
113. Thomas T, Thomas G, McLendon C, Sutton T, Mullan M. β-Amyloid-mediated vasoactivity and vascular endothelial damage. Nature. 1996;380:168–171. [PubMed]
114. Niwa K, Porter VA, Kazama K, Cornfield D, Carlson GA, Iadecola C. A beta-peptides enhance vasoconstriction in cerebral circulation. Am J Physiol Heart Circ Physiol. 2001;281:H2417–H2424. [PubMed]
115. Niwa K, Carlson GA, Iadecola C. Exogenous A beta1–40 reproduces cerebrovascular alterations resulting from amyloid precursor protein overexpression in mice. J Cereb Blood Flow Metab. 2000;20:1659–1668. [PubMed]
116. Niwa K, Kazama K, Younkin L, Younkin SG, Carlson GA, Iadecola C. Cerebrovascular autoregulation is profoundly impaired in mice overexpressing amyloid precursor protein. Am J Physiol Heart Circ Physiol. 2002;283:H315–H323. [PubMed]
117. Iadecola C, Zhang F, Niwa K, Eckman C, Turner SK, Fischer E, Younkin S, Borchelt DR, Hsiao KK, Carlson GA. SOD1 rescues cerebral endothelial dysfunction in mice overexpressing amyloid precursor protein. Nat Neurosci. 1999;2:157–161. [PubMed]
118. Chow N, Bell RD, Deane R, Streb JW, Chen J, Brooks A, Van Nostrand W, Miano JM, Zlokovic BV. Serum response factor and myocardin mediate arterial hypercontractility and cerebral blood flow dysregulation in Alzheimer's phenotype. Proc Natl Acad Sci U S A. 2007;104:823–828. [PubMed]
119. Faraci FM. Reactive oxygen species: influence on cerebral vascular tone. J Appl Physiol. 2006;100:739–743. [PubMed]
120. Simpson JE, Hosny O, Wharton SB, Heath PR, Holden H, Fernando MS, Matthews F, Forster G, O'Brien JT, Barber R, Kalaria RN, Brayne C, Shaw PJ, Lewis CE, Ince PG., Medical Research Council Cognitive Function and Ageing Study Neuropathology Group Microarray RNA expression analysis of cerebral white matter lesions reveals changes in multiple functional pathways. Stroke. 2009;40:369–375. [PubMed]
121. Simpson JE, Ince PG, Haynes LJ, Theaker R, Gelsthorpe C, Baxter L, Forster G, Lace GL, Shaw PJ, Matthews FE, Savva GM, Brayne C, Wharton SB., MRC Cognitive Function and Ageing Neuropathology Study Group Population variation in oxidative stress and astrocyte DNA damage in relation to Alzheimer-type pathology in the ageing brain. Neuropathol Appl Neurobiol. 2010;36:25–40. [PubMed]
122. Kazama K, Anrather J, Zhou P, Girouard H, Frys K, Milner TA, Iadecola C. Angiotensin II impairs neurovascular coupling in neocortex through NADPH-oxidase-derived radicals. Circ Res. 2004;95:1019–1026. [PubMed]
123. Kitayama J, Faraci FM, Lentz SR, Heistad DD. Cerebral vascular dysfunction during hypercholesterolemia. Stroke. 2007;38:2136–2141. [PubMed]
124. Park L, Zhou P, Pitstick R, Capone C, Anrather J, Norris EH, Younkin L, Younkin S, Carlson G, McEwen BS, Iadecola C. Nox2-derived radicals contribute to neurovascular and behavioral dysfunction in mice overexpressing the amyloid precursor protein. Proc Natl Acad Sci U S A. 2008;105:1347–1352. [PubMed]
125. Marchesi C, Paradis P, Schiffrin EL. Role of the renin-angiotensin system in vascular inflammation. Trends Pharmacol Sci. 2008;29:367–374. [PubMed]
126. Gill R, Tsung A, Billiar T. Linking oxidative stress to inflammation: Toll-like receptors. Free Radic Biol Med. 2010;48:1121–1132. [PMC free article] [PubMed]
127. Farrall AJ, Wardlaw JM. Blood-brain barrier: ageing and microvascular disease: systematic review and meta-analysis. Neurobiol Aging. 2009;30:337–352. [PubMed]
128. Trapp BD, Stys PK. Virtual hypoxia and chronic necrosis of demyelinated axons in multiple sclerosis. Lancet Neurol. 2009;8:280–291. [PubMed]
129. Bell RD, Deane R, Chow N, Long X, Sagare A, Singh I, Streb JW, Guo H, Rubio A, Van Nostrand W, Miano JM, Zlokovic BV. SRF and myocardin regulate LRP-mediated amyloid-beta clearance in brain vascular cells. Nat Cell Biol. 2009;11:143–153. [PMC free article] [PubMed]
130. Gurol ME, Irizarry MC, Smith EE, Raju S, Diaz-Arrastia R, Bottiglieri T, Rosand J, Growdon JH, Greenberg SM. Plasma beta-amyloid and white matter lesions in AD, MCI, and cerebral amyloid angiopathy. Neurology. 2006;66:23–29. [PubMed]
131. Gomis M, Sobrino T, Ois A, Millán M, Rodríguez-Campello A, Pérez de la Ossa N, Rodríguez-González R, Jiménez-Conde J, Cuadrado-Godia E, Roquer J, Dávalos A. Plasma beta-amyloid 1–40 is associated with the diffuse small vessel disease subtype. Stroke. 2009;40:3197–3201. [PubMed]
132. Arai K, Lo EH. Astrocytes protect oligodendrocyte precursor cells via MEK/ERK and PI3K/Akt signaling. J Neurosci Res. 2010;88:758–763. [PMC free article] [PubMed]
133. Sim FJ, Zhao C, Penderis J, Franklin RJ. The age-related decrease in CNS remyelination efficiency is attributable to an impairment of both oligodendrocyte progenitor recruitment and differentiation. J Neurosci. 2002;22:2451–2459. [PubMed]
134. Savva GM, Wharton SB, Ince PG, Forster G, Matthews FE, Brayne C., Medical Research Council Cognitive Function and Ageing Study Age, neuropathology, and dementia. N Engl J Med. 2009;360:2302–2309. [PubMed]
135. Staekenborg SS, Koedam ELGE, Henneman WJP, Stokman P, Barkhof F, Scheltens P, van der Flier WM. Progression of mild cognitive impairment to dementia: contribution of cerebrovascular disease compared with medial temporal lobe atrophy. Stroke. 2009;40:1269–1274. [PubMed]
136. Jellinger KA. Alzheimer disease and cerebrovascular pathology: an update. J Neural Transm. 2002;109:813–836. [PubMed]
137. Mandybur TI. Cerebral amyloid angiopathy: the vascular pathology and complications. J Neuropathol Exp Neurol. 1986;45:79–90. [PubMed]
138. Natté R, Vinters HV, Maat-Schieman ML, Bornebroek M, Haan J, Roos RA, van Duinen SG. Microvasculopathy is associated with the number of cerebrovascular lesions in hereditary cerebral hemorrhage with amyloidosis, Dutch type. Stroke. 1998;29:1588–1594. [PubMed]
139. Vonsattel JP, Myers RH, Hedley-Whyte ET, Ropper AH, Bird ED, Richardson EP., Jr Cerebral amyloid angiopathy without and with cerebral hemorrhages: a comparative histological study. Ann Neurol. 1991;30:637–649. [PubMed]
140. Arvanitakis Z, Leurgans SE, Wang Z, Wilson RS, Bennett DA, Schneider JA. Cerebral amyloid angiopathy pathology and cognitive domains in older persons. Ann Neurol. 2011;69:320–327. [PMC free article] [PubMed]
141. Pfeifer LA, White LR, Ross GW, Petrovitch H, Launer LJ. Cerebral amyloid angiopathy and cognitive function: the HAAS autopsy study. Neurology. 2002;58:1629–1634. [PubMed]
142. Greenberg SM, Eng JA, Ning M, Smith EE, Rosand J. Hemorrhage burden predicts recurrent intracerebral hemorrhage after lobar hemorrhage. Stroke. 2004;35:1415–1420. [PubMed]
143. Najjar SS, Scuteri A, Lakatta EG. Arterial aging: is it an immutable cardiovascular risk factor? Hypertension. 2005;46:454–462. [PubMed]
144. Olichney JM, Hansen LA, Hofstetter CR, Grundman M, Katzman R, Thal LJ. Cerebral infarction in Alzheimer's disease is associated with severe amyloid angiopathy and hypertension. Arch Neurol. 1995;52:702–708. [PubMed]
145. O'Rourke MF, Nichols WW. Aortic diameter, aortic stiffness, and wave reflection increase with age and isolated systolic hypertension. Hypertension. 2005;45:652–658. [PubMed]
146. Soontornniyomkij V, Lynch MD, Mermash S, Pomakian J, Badkoobehi H, Clare R, Vinters HV. Cerebral microinfarcts associated with severe cerebral beta-amyloid angiopathy. Brain Pathol. 2010;20:459–467. [PMC free article] [PubMed]
147. Holland CM, Smith EE, Csapo I, Gurol ME, Brylka DA, Killiany RJ, Blacker D, Albert MS, Guttmann CR, Greenberg SM. Spatial distribution of white-matter hyperintensities in Alzheimer disease, cerebral amyloid angiopathy, and healthy aging. Stroke. 2008;39:1127–1133. [PMC free article] [PubMed]
148. Smith EE, Gurol ME, Eng JA, Engel CR, Nguyen TN, Rosand J, Greenberg SM. White matter lesions, cognition, and recurrent hemorrhage in lobar intracerebral hemorrhage. Neurology. 2004;63:1606–1612. [PubMed]
149. Viswanathan A, Patel P, Rahman R, Nandigam RN, Kinnecom C, Bracoud L, Rosand J, Chabriat H, Greenberg SM, Smith EE. Tissue microstructural changes are independently associated with cognitive impairment in cerebral amyloid angiopathy. Stroke. 2008;39:1988–1992. [PMC free article] [PubMed]
150. Eng JA, Frosch MP, Choi K, Rebeck GW, Greenberg SM. Clinical manifestations of cerebral amyloid angiopathy-related inflammation. Ann Neurol. 2004;55:250–256. [PubMed]
151. Scolding NJ, Joseph F, Kirby PA, Mazanti I, Gray F, Mikol J, Ellison D, Hilton DA, Williams TL, MacKenzie JM, Xuereb JH, Love S. Abeta-related angiitis: primary angiitis of the central nervous system associated with cerebral amyloid angiopathy. Brain. 2005;128:500–515. [PubMed]
152. Kinnecom C, Lev MH, Wendell L, Smith EE, Rosand J, Frosch MP, Greenberg SM. Course of cerebral amyloid angiopathy-related inflammation. Neurology. 2007;68:1411–1416. [PubMed]
153. Knudsen KA, Rosand J, Karluk D, Greenberg SM. Clinical diagnosis of cerebral amyloid angiopathy: validation of the Boston Criteria. Neurology. 2001;56:537–539. [PubMed]
154. van Rooden S, van der Grond J, van den Boom R, Haan J, Linn J, Greenberg SM, van Buchem MA. Descriptive analysis of the Boston criteria applied to a Dutch-type cerebral amyloid angiopathy population. Stroke. 2009;40:3022–3027. [PubMed]
155. Verbeek MM, Kremer BP, Rikkert MO, Van Domburg PH, Skehan ME, Greenberg SM. Cerebrospinal fluid amyloid beta(40) is decreased in cerebral amyloid angiopathy. Ann Neurol. 2009;66:245–249. [PMC free article] [PubMed]
156. Johnson KA, Gregas M, Becker JA, Kinnecom C, Salat DH, Moran EK, Smith EE, Rosand J, Rentz DM, Klunk WE, Mathis CA, Price JC, Dekosky ST, Fischman AJ, Greenberg SM. Imaging of amyloid burden and distribution in cerebral amyloid angiopathy. Ann Neurol. 2007;62:229–234. [PubMed]
157. Ly JV, Donnan GA, Villemagne VL, Zavala JA, Ma H, O'Keefe G, Gong SJ, Gunawan RM, Saunder T, Ackerman U, Tochon-Danguy H, Churilov L, Phan TG, Rowe CC. 11C-PIB binding is increased in patients with cerebral amyloid angiopathy-related hemorrhage. Neurology. 2010;74:487–493. [PubMed]
158. Lockhart A, Lamb JR, Osredkar T, Sue LI, Joyce JN, Ye L, Libri V, Leppert D, Beach TG. PIB is a non-specific imaging marker of amyloid-beta (Abeta) peptide-related cerebral amyloidosis. Brain. 2007;130:2607–2615. [PubMed]
159. Smith EE, Nandigam KR, Chen YW, Jeng J, Salat D, Halpin A, Frosch M, Wendell L, Fazen L, Rosand J, Viswanathan A, Greenberg SM. MRI markers of small vessel disease in lobar and deep hemispheric intracerebral hemorrhage. Stroke. 2010;41:1933–1938. [PubMed]
160. Bateman RJ, Siemers ER, Mawuenyega KG, Wen G, Browning KR, Sigurdson WC, Yarasheski KE, Friedrich SW, Demattos RB, May PC, Paul SM, Holtzman DM. A gamma-secretase inhibitor decreases amyloid-beta production in the central nervous system. Ann Neurol. 2009;66:48–54. [PMC free article] [PubMed]
161. Han BH, Zhou ML, Abousaleh F, Brendza RP, Dietrich HH, Koenigsknecht-Talboo J, Cirrito JR, Milner E, Holtzman DM, Zipfel GJ. Cerebrovascular dysfunction in amyloid precursor protein transgenic mice: contribution of soluble and insoluble amyloid-beta peptide, partial restoration via gamma-secretase inhibition. J Neurosci. 2008;28:13542–13550. [PMC free article] [PubMed]
162. Reger MA, Watson GS, Green PS, Wilkinson CW, Baker LD, Cholerton B, Fishel MA, Plymate SR, Breitner JC, DeGroodt W, Mehta P, Craft S. Intranasal insulin improves cognition and modulates beta-amyloid in early AD. Neurology. 2008;70:440–448. [PubMed]
163. Chabriat H, Vahedi K, Bouser MG, Iba-Zizen MT, Joutel A, Nibbio A, Nagy TG, Tournier Lasserve E, Krebs MO, Julien J, Ducrocq X, Levasseur M, Mas JL, Dubois B, Homeyer P, Lyon-Caen O. Clinical spectrum of CADASIL: a study of 7 families. Lancet. 1995;346:934–939. [PubMed]
164. Viswanathan A, Godin O, Jouvent E, O'sullivan M, Gschwendtner A, Peters N, Duering M, Guichard JP, Holtmannspotter M, Dufouil C, Pachai C, Bousser MG, Dichgans M, Chabriat H. Impact of MRI markers in subcortical vascular dementia: a multi-modal analysis in CADASIL. Neurobiol Aging. 2010;31:1629–1636. [PubMed]
165. Joutel A, Vahedi K, Corpechot C, Troesch A, Chabriat H, Vayssière C, Cruaud C, Maciazek J, Weissenbach J, Bousser MG, Bach JF, Tournier-Lasserve E. Strong clustering and stereotyped nature of Notch3 mutations in CADASIL patients. Lancet. 1997;350:1511–1515. [PubMed]
166. Coto E, Menéndez M, Navarro R, García-Castro M, Alvarez V. A new de novo Notch3 mutation causing CADASIL. Eur J Neurol. 2006;13:628–631. [PubMed]
167. Joutel A, Dodick DD, Parisi JE, Cecillon M, Tournier-Lasserve E, Bousser MG. De novo mutation in the Notch3 gene causing CADASIL. Ann Neurol. 2000;47:388–391. [PubMed]
168. Mayer M, Straube A, Bruening R, Uttner I, Pongratz D, Gasser T, Dichgans M, Müller-Höcker J. Muscle and skin biopsies are a sensitive diagnostic tool in the diagnosis of CADASIL. J Neurol. 1999;246:526–532. [PubMed]
169. Joutel A, Favrole P, Labauge P, Chabriat H, Lescoat C, Andreux F, Domenga V, Cécillon M, Vahedi K, Ducros A, Cave-Riant F, Bousser MG, Tournier-Lasserve E. Skin biopsy immunostaining with a Notch3 monoclonal antibody for CADASIL diagnosis. Lancet. 2001;358:2049–2051. [PubMed]
170. Malandrini A, Gaudiano C, Gambelli S, Berti G, Serni G, Bianchi S, Federico A, Dotti MT. Diagnostic value of ultrastructural skin biopsy studies in CADASIL. Neurology. 2007;68:1430–1432. [PubMed]
171. Adib-Samii P, Brice G, Martin RJ, Markus HS. Clinical spectrum of CADASIL and the effect of cardiovascular risk factors on phenotype: study in 200 consecutively recruited individuals. Stroke. 2010;41:630–634. [PubMed]
172. Viswanathan A, Guichard JP, Gschwendtner A, Buffon F, Cumurcuic R, Boutron C, Vicaut E, Holtmannspötter M, Pachai C, Bousser MG, Dichgans M, Chabriat H. Blood pressure and haemoglobin A1c are associated with microhaemorrhage in CADASIL: a two-centre cohort study. Brain. 2006;129:2375–2383. [PubMed]
173. Grabowski TJ, Cho HS, Vonsattel JPG, Rebeck GW, Greenberg SM. Novel amyloid precursor protein mutation in an Iowa family with dementia and severe cerebral amyloid angiopathy. Ann Neurol. 2001;49:697–705. [PubMed]
174. Rovelet-Lecrux A, Hannequin D, Raux G, Le Meur N, Laquerrière A, Vital A, Dumanchin C, Feuillette S, Brice A, Vercelletto M, Dubas F, Frebourg T, Campion D. APP locus duplication causes autosomal dominant early-onset Alzheimer disease with cerebral amyloid angiopathy. Nat Genet. 2006;38:24–26. [PubMed]
175. Van Broeckhoven C, Haan J, Bakker E, Hardy JA, Van Hul W, Wehnert A, Vegter-Van der Vlis M, Roos RA. Amyloid beta protein precursor gene and hereditary cerebral hemorrhage with amyloidosis (Dutch). Science. 1990;248:1120–1122. [PubMed]
176. Richards A, van den Maagdenberg AM, Jen JC, Kavanagh D, Bertram P, Spitzer D, Liszewski MK, Barilla-Labarca ML, Terwindt GM, Kasai Y, McLellan M, Grand MG, Vanmolkot KR, de Vries B, Wan J, Kane MJ, Mamsa H, Schäfer R, Stam AH, Haan J, de Jong PT, Storimans CW, van Schooneveld MJ, Oosterhuis JA, Gschwendter A, Dichgans M, Kotschet KE, Hodgkinson S, Hardy TA, Delatycki MB, Hajj-Ali RA, Kothari PH, Nelson SF, Frants RR, Baloh RW, Ferrari MD, Atkinson JP. C-terminal truncations in human 3′-5′ DNA exonuclease TREX1 cause autosomal dominant retinal vasculopathy with cerebral leukodystrophy. Nat Genet. 2007;39:1068–1070. [PubMed]
177. Hara K, Shiga A, Fukutake T, Nozaki H, Miyashita A, Yokoseki A, Kawata H, Koyama A, Arima K, Takahashi T, Ikeda M, Shiota H, Tamura M, Shimoe Y, Hirayama M, Arisato T, Yanagawa S, Tanaka A, Nakano I, Ikeda S, Yoshida Y, Yamamoto T, Ikeuchi T, Kuwano R, Nishizawa M, Tsuji S, Onodera O. Association of HTRA1 mutations and familial ischemic cerebral small-vessel disease. N Engl J Med. 2009;360:1729–1739. [PubMed]
178. Breedveld G, de Coo IF, Lequin MH, Arts WF, Heutink P, Gould DB, John SW, Oostra B, Mancini GM. Novel mutations in three families confirm a major role of COL4A1 in hereditary porencephaly. J Med Genet. 2006;43:490–495. [PMC free article] [PubMed]
179. Gould DB, Phalan FC, van Mil SE, Sundberg JP, Vahedi K, Massin P, Bousser MG, Heutink P, Miner JH, Tournier-Lasserve E, John SW. Role of COL4A1 in small-vessel disease and hemorrhagic stroke. N Engl J Med. 2006;354:1489–1496. [PubMed]
180. Tarasov KV, Sanna S, Scuteri A, Strait JB, Orrù M, Parsa A, Lin PI, Maschio A, Lai S, Piras MG, Masala M, Tanaka T, Post W, O'Connell JR, Schlessinger D, Cao A, Nagaraja R, Mitchell BD, Abecasis GR, Shuldiner AR, Uda M, Lakatta EG, Najjar SS. COL4A1 is associated with arterial stiffness by genome-wide association scan. Circ Cardiovasc Genet. 2009;2:151–158. [PMC free article] [PubMed]
181. Safar M, O'Rourke MF, editors. Arterial Stiffness in Hypertension: Handbook of Hypertension, Volume 23. Elsevier; New York, NY: 2006.
182. Laurent S, Cockcroft J, Van Bortel L, Boutouyrie P, Giannattasio C, Hayoz D, Pannier B, Vlachopoulos C, Wilkinson I, Struijker-Boudier H., European Network for Non-invasive Investigation of Large Arteries Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur Heart J. 2006;27:2588–2605. [PubMed]
183. Pignoli P, Tremoli E, Poli A, Oreste P, Paoletti R. Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. Circulation. 1986;74:1399–1406. [PubMed]
184. Howard G, Sharrett AR, Heiss G, Evans GW, Chambless LE, Riley WA, Burke GL., ARIC Investigators Carotid artery intimal-medial thickness distribution in general populations as evaluated by B-mode ultrasound. Stroke. 1993;24:1297–1304. [PubMed]
185. Morović S, Jurasić MJ, Martinić Popović I, Serić V, Lisak M, Demarin V. Vascular characteristics of patients with dementia. J Neurol Sci. 2009;283:41–43. [PubMed]
186. Muller M, Grobbee DE, Aleman A, Bots M, van der Schouw YT. Cardiovascular disease and cognitive performance in middle-aged and elderly men. Atherosclerosis. 2007;190:143–149. [PubMed]
187. Komulainen P, Kivipelto M, Lakka TA, Hassinen M, Helkala EL, Patja K, Nissinen A, Rauramaa R. Carotid intima-media thickness and cognitive function in elderly women: a population-based study. Neuroepidemiology. 2007;28:207–213. [PubMed]
188. Silvestrini M, Gobbi B, Pasqualetti P, Bartolini M, Baruffaldi R, Lanciotti C, Cerqua R, Altamura C, Provinciali L, Vernieri F. Carotid atherosclerosis and cognitive decline in patients with Alzheimer's disease. Neurobiol Aging. 2009;30:1177–1183. [PubMed]
189. Wendell CR, Zonderman AB, Metter EJ, Najjar SS, Waldstein SR. Carotid intimal medial thickness predicts cognitive decline among adults without clinical vascular disease. Stroke. 2009;40:3180–3185. [PMC free article] [PubMed]
190. Elias MF, Elias PK, Robbins MA, Wolf PA, D'Agostino RB. Cardiovascular risk factors and cognitive functioning: An epidemiological perspective. In: Waldstein SR, Elias MF, editors. Neuropsychology of Cardiovascular Disease. Erlbaum; Mahway, NJ: 2001. pp. 83–104.
191. Everson SA, Helkala E, Kaplan GA, Salonen JT. Atherosclerosis and cognitive functioning. In: Waldstein SR, Elias MF, editors. Neuropsychology of Cardiovascular Disease. Erlbaum; Mahwah, NJ: 2001. pp. 105–120.
192. Devereux RB, Alderman MH. Role of preclinical cardiovascular disease in the evolution from risk factor exposure to development of morbid events. Circulation. 1993;88:1444–1455. [PubMed]
193. Dolan D, Troncoso J, Resnick SM, Crain BJ, Zonderman AB, O'Brien RJ. Age, Alzheimer's disease and dementia in the Baltimore Longitudinal Study of Ageing. Brain. 2010;133:2225–2231. [PMC free article] [PubMed]
194. Honig LS, Kukull W, Mayeux R. Atherosclerosis and AD: analysis of data from the US National Alzheimer's Coordinating Center. Neurology. 2005;64:494–500. [PubMed]
195. Bots ML, van Swieten JC, Breteler MM, de Jong PT, van Gijn J, Hofman A, Grobbee DE. Cerebral white matter lesions and atherosclerosis in the Rotterdam Study. Lancet. 1993;341:1232–1237. [PubMed]
196. Cohen RA, Poppas A, Forman DE, Hoth KF, Haley AP, Gunstad J, Jefferson AL, Tate DF, Paul RH, Sweet LH, Ono M, Jerskey BA, Gerhard-Herman M. Vascular and cognitive functions associated with cardiovascular disease in the elderly. J Clin Exp Neuropsychol. 2009;31:96–110. [PMC free article] [PubMed]
197. Haan MN, Shemanski L, Jagust WJ, Manolio TA, Kuller L. The role of APOE epsilon4 in modulating effects of other risk factors for cognitive decline in elderly persons. JAMA. 1999;282:40–46. [PubMed]
198. Manolio TA, Burke GL, O'Leary DH, Evans G, Beauchamp N, Knepper L, Ward B., CHS Collaborative Research Group Relationships of cerebral MRI findings to ultrasonographic carotid atherosclerosis in older adults : the Cardiovascular Health Study. Arterioscler Thromb Vasc Biol. 1999;19:356–365. [PubMed]
199. Laurent S, Boutouyrie P. Recent advances in arterial stiffness and wave reflection in human hypertension. Hypertension. 2007;49:1202–1206. [PubMed]
200. Laurent S, Boutouyrie P, Lacolley P. Structural and genetic bases of arterial stiffness. Hypertension. 2005;45:1050–1055. [PubMed]
201. Hanon O, Haulon S, Lenoir H, Seux ML, Rigaud AS, Safar M, Girerd X, Forette F. Relationship between arterial stiffness and cognitive function in elderly subjects with complaints of memory loss. Stroke. 2005;36:2193–2197. [PubMed]
202. Scuteri A, Brancati AM, Gianni W, Assisi A, Volpe M. Arterial stiffness is an independent risk factor for cognitive impairment in the elderly: a pilot study. J Hypertens. 2005;23:1211–1216. [PubMed]
203. Elias MF, Robbins MA, Budge MM, Abhayaratna WP, Dore GA, Elias PK. Arterial pulse wave velocity and cognition with advancing age. Hypertension. 2009;53:668–673. [PMC free article] [PubMed]
204. Scuteri A, Tesauro M, Appolloni S, Preziosi F, Brancati AM, Volpe M. Arterial stiffness as an independent predictor of longitudinal changes in cognitive function in the older individual. J Hypertens. 2007;25:1035–1040. [PubMed]
205. Waldstein SR, Rice SC, Thayer JF, Najjar SS, Scuteri A, Zonderman AB. Pulse pressure and pulse wave velocity are related to cognitive decline in the Baltimore Longitudinal Study of Aging. Hypertension. 2008;51:99–104. [PubMed]
206. Dufouil C, Godin O, Chalmers J, Coskun O, MacMahon S, Tzourio-Mazoyer N, Bousser MG, Anderson C, Mazoyer B, Tzourio C., PROGRESS MRI Substudy Investigators Severe cerebral white matter hyperintensities predict severe cognitive decline in patients with cerebrovascular disease history. Stroke. 2009;40:2219–2221. [PubMed]
207. Henskens LH, Kroon AA, van Oostenbrugge RJ, Gronenschild EH, Fuss-Lejeune MM, Hofman PA, Lodder J, de Leeuw PW. Increased aortic pulse wave velocity is associated with silent cerebral small-vessel disease in hypertensive patients. Hypertension. 2008;52:1120–1126. [PubMed]
208. Kearney-Schwartz A, Rossignol P, Bracard S, Felblinger J, Fay R, Boivin JM, Lecompte T, Lacolley P, Benetos A, Zannad F. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke. 2009;40:1229–1236. [PubMed]
209. Zieman SJ, Melenovsky V, Kass DA. Mechanisms, pathophysiology, and therapy of arterial stiffness. Arterioscler Thromb Vasc Biol. 2005;25:932–943. [PubMed]
210. Laurent S, Briet M, Boutouyrie P. Large and small artery cross-talk and recent morbidity-mortality trials in hypertension. Hypertension. 2009;54:388–392. [PubMed]
211. O'Rourke MF, Safar ME. Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy. Hypertension. 2005;46:200–204. [PubMed]
212. Selvetella G, Notte A, Maffei A, Calistri V, Scamardella V, Frati G, Trimarco B, Colonnese C, Lembo G. Left ventricular hypertrophy is associated with asymptomatic cerebral damage in hypertensive patients. Stroke. 2003;34:1766–1770. [PubMed]
213. Scuteri A, Coluccia R, Castello L, Nevola E, Brancati AM, Volpe M. Left ventricular mass increase is associated with cognitive decline and dementia in the elderly independently of blood pressure. Eur Heart J. 2009;30:1525–1529. [PubMed]
214. Aalkjaer C, Heagerty AM, Petersen KK, Swales JD, Mulvany MJ. Evidence for increased media thickness, increased neuronal amine uptake, and depressed excitation–contraction coupling in isolated resistance vessels from essential hypertensives. Circ Res. 1987;61:181–186. [PubMed]
215. Rosei EA, Rizzoni D, Castellano M, Porteri E, Zulli R, Muiesan ML, Bettoni G, Salvetti M, Muiesan P, Giulini SM. Media:lumen ratio in human small resistance arteries is related to forearm minimal vascular resistance. J Hypertens. 1995;13:341–347. [PubMed]
216. Schiffrin EL, Hayoz D. How to assess vascular remodelling in small and medium-sized muscular arteries in humans. J Hypertens. 1997;15:571–584. [PubMed]
217. Harazny JM, Ritt M, Baleanu D, Ott C, Heckmann J, Schlaich MP, Michelson G, Schmieder RE. Increased wall:lumen ratio of retinal arterioles in male patients with a history of a cerebrovascular event. Hypertension. 2007;50:623–629. [PubMed]
218. Kwa VI, van der Sande JJ, Stam J, Tijmes N, Vrooland JL., Amsterdam Vascular Medicine Group Retinal arterial changes correlate with cerebral small-vessel disease. Neurology. 2002;59:1536–1540. [PubMed]
219. Cheung N, Sharrett AR, Klein R, Criqui MH, Islam FM, Macura KJ, Cotch MF, Klein BE, Wong TY. Aortic distensibility and retinal arteriolar narrowing: the Multi-Ethnic Study of Atherosclerosis. Hypertension. 2007;50:617–622. [PubMed]
220. Kwon HM, Kim BJ, Oh JY, Kim SJ, Lee SH, Oh BH, Yoon BW. Retinopathy as an indicator of silent brain infarction in asymptomatic hypertensive subjects. J Neurol Sci. 2007;252:159–162. [PubMed]
221. Lindley RI, Wang JJ, Wong MC, Mitchell P, Liew G, Hand P, Wardlaw J, De Silva DA, Baker M, Rochtchina E, Chen C, Hankey GJ, Chang HM, Fung VS, Gomes L, Wong TY., Multi-Centre Retina and Stroke Study (MCRS) Collaborative Group Retinal microvasculature in acute lacunar stroke: a cross-sectional study. Lancet Neurol. 2009;8:628–634. [PubMed]
222. Thompson CS, Hakim AM. Living beyond our physiological means: small vessel disease of the brain is an expression of a systemic failure in arteriolar function: a unifying hypothesis. Stroke. 2009;40:e322–e330. [PubMed]
223. Farkas E, Luiten PG. Cerebral microvascular pathology in aging and Alzheimer's disease. Prog Neurobiol. 2001;64:575–611. [PubMed]
224. Perlmutter LS, Chui HC. Microangiopathy, the vascular basement membrane and Alzheimer's disease: a review. Brain Res Bull. 1990;24:677–686. [PubMed]
225. Wardlaw JM, Sandercock PA, Dennis MS, Starr J. Is breakdown of the blood-brain barrier responsible for lacunar stroke, leukoaraiosis, and dementia? Stroke. 2003;34:806–812. [PubMed]
226. Mattace-Raso FU, van der Cammen TJ, Hofman A, van Popele NM, Bos ML, Schalekamp MA, Asmar R, Reneman RS, Hoeks AP, Breteler MM, Witteman JC. Arterial stiffness and risk of coronary heart disease and stroke: the Rotterdam Study. Circulation. 2006;113:657–663. [PubMed]
227. Viswanathan A, Rocca WA, Tzourio C. Vascular risk factors and dementia: how to move forward? Neurology. 2009;72:368–374. [PMC free article] [PubMed]
228. Nilsson PM, Boutouyrie P, Laurent S. Vascular aging: a tale of EVA and ADAM in cardiovascular risk assessment and prevention. Hypertension. 2009;54:3–10. [PubMed]
229. Nilsson PM, Lurbe E, Laurent S. The early life origins of vascular ageing and cardiovascular risk: the EVA syndrome. J Hypertens. 2008;26:1049–1057. [PubMed]
230. Seshadri S, Wolf PA. Lifetime risk of stroke and dementia: current concepts, and estimates from the Framingham Study. Lancet Neurol. 2007;6:1106–1114. [PubMed]
231. DeCarli C, Massaro J, Harvey D, Hald J, Tullberg M, Au R, Beiser A, D'Agostino R, Wolf PA. Measures of brain morphology and infarction in the Framingham Heart Study: establishing what is normal. Neurobiol Aging. 2005;26:491–510. [PubMed]
232. Mayda A, DeCarli C. Vascular cognitive impairment: prodrome to VaD? In: Wahlund L-O, Erkinjuntti T, Gauthier S, editors. Vascular Cognitive Impairment in Clinical Practice. Cambridge University Press; Cambridge, United Kingdom: 2009. pp. 11–31.
233. Kövari E, Gold G, Herrmann FR, Canuto A, Hof PR, Bouras C, Giannakopoulos P. Cortical microinfarcts and demyelination affect cognition in cases at high risk for dementia. Neurology. 2007;68:927–931. [PubMed]
234. Black S, Gao F, Bilbao J. Understanding white matter disease: imaging-pathological correlations in vascular cognitive impairment. Stroke. 2009;40(suppl):S48–S52. [PubMed]
235. Ikonomovic MD, Klunk WE, Abrahamson EE, Mathis CA, Price JC, Tsopelas ND, Lopresti BJ, Ziolko S, Bi W, Paljug WR, Debnath ML, Hope CE, Isanski BA, Hamilton RL, DeKosky ST. Post-mortem cor relates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease. Brain. 2008;131:1630–1645. [PubMed]
236. Jagust W. Untangling vascular dementia. Lancet. 2001;358:2097–2098. [PubMed]
237. Das RR, Seshadri S, Beiser AS, Kelly-Hayes M, Au R, Himali JJ, Kase CS, Benjamin EJ, Polak JF, O'Donnell CJ, Yoshita M, D'Agostino RB, Sr, DeCarli C, Wolf PA. Prevalence and correlates of silent cerebral infarcts in the Framingham offspring study. Stroke. 2008;39:2929–2935. [PMC free article] [PubMed]
238. Prabhakaran S, Wright CB, Yoshita M, Delapaz R, Brown T, DeCarli C, Sacco RL. Prevalence and determinants of subclinical brain infarction: the Northern Manhattan Study. Neurology. 2008;70:425–430. [PMC free article] [PubMed]
239. Jeerakathil T, Wolf PA, Beiser A, Massaro J, Seshadri S, D'Agostino RB, DeCarli C. Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study. Stroke. 2004;35:1857–1861. [PubMed]
240. Debette S, Beiser A, DeCarli C, Au R, Himali JJ, Kelly-Hayes M, Romero JR, Kase CS, Wolf PA, Seshadri S. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality: the Framingham Offspring Study. Stroke. 2010;41:600–606. [PMC free article] [PubMed]
241. Gunning-Dixon FM, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology. 2000;14:224–232. [PubMed]
242. DeCarli C, Murphy DG, Tranh M, Grady CL, Haxby JV, Gillette JA, Salerno JA, Gonzales-Aviles A, Horwitz B, Rapoport SI, Schapiro MB. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology. 1995;45:2077–2084. [PubMed]
243. Breteler MM, van Amerongen NM, van Swieten JC, Claus JJ, Grobbee DE, van Gijn J, Hofman A, van Harskamp F. Cognitive correlates of ventricular enlargement and cerebral white matter lesions on magnetic resonance imaging: the Rotterdam Study. Stroke. 1994;25:1109–1115. [PubMed]
244. Vermeer SE, Den Heijer T, Koudstaal PJ, Oudkerk M, Hofman A, Breteler MM. Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study. Stroke. 2003;34:392–396. [PubMed]
245. Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MM. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003;348:1215–1222. [PubMed]
246. Longstreth WT, Jr, Dulberg C, Manolio TA, Lewis MR, Beauchamp NJ, Jr, O'Leary D, Carr J, Furberg CD. Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke. 2002;33:2376–2382. [PubMed]
247. Longstreth WT, Jr, Arnold AM, Beauchamp NJ, Jr, Manolio TA, Lefkowitz D, Jungreis C, Hirsch CH, O'Leary DH, Furberg CD. Incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke. 2005;36:56–61. [PubMed]
248. Silbert LC, Howieson DB, Dodge H, Kaye JA. Cognitive impairment risk: white matter hyperintensity progression matters. Neurology. 2009;73:120–125. [PMC free article] [PubMed]
249. Schmidt R, Fazekas F, Kapeller P, Schmidt H, Hartung HP. MRI white matter hyperintensities: three-year follow-up of the Austrian Stroke Prevention Study. Neurology. 1999;53:132–139. [PubMed]
250. Kokmen E, Whisnant JP, O'Fallon WM, Chu CP, Beard CM. Dementia after ischemic stroke: a population-based study in Rochester, Minnesota (1960–1984). Neurology. 1996;46:154–159. [PubMed]
251. Srikanth VK, Quinn SJ, Donnan GA, Saling MM, Thrift AG. Long-term cognitive transitions, rates of cognitive change, and predictors of incident dementia in a population-based first-ever stroke cohort. Stroke. 2006;37:2479–2483. [PubMed]
252. Leys D, Hénon H, Mackowiak-Cordoliani MA, Pasquier F. Poststroke dementia. Lancet Neurol. 2005;4:752–759. [PubMed]
253. Pohjasvaara T, Mantyla R, Aronen HJ, Leskelä M, Salonen O, Kaste M, Erkinjuntti T. Clinical and radiological determinants of prestroke cognitive decline in a stroke cohort. J Neurol Neurosurg Psychiatry. 1999;67:742–748. [PMC free article] [PubMed]
254. Yoshita M, Fletcher E, Harvey D, Ortega M, Martinez O, Mungas DM, Reed BR, DeCarli CS. Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD. Neurology. 2006;67:2192–2198. [PMC free article] [PubMed]
255. Cuenco KT, Green RC, Zhang J, Lunetta K, Erlich PM, Cupples LA, Farrer LA, DeCarli C., MIRAGE Study Group Magnetic resonance imaging traits in siblings discordant for Alzheimer disease. J Neuroimaging. 2008;18:268–275. [PMC free article] [PubMed]
256. Mungas D, Harvey D, Reed BR, Jagust WJ, DeCarli C, Beckett L, Mack WJ, Kramer JH, Weiner MW, Schuff N, Chui HC. Longitudinal volu-metric MRI change and rate of cognitive decline. Neurology. 2005;65:565–571. [PMC free article] [PubMed]
257. Bastos-Leite AJ, van der Flier WM, van Straaten EC, Staekenborg SS, Scheltens P, Barkhof F. The contribution of medial temporal lobe atrophy and vascular pathology to cognitive impairment in vascular dementia. Stroke. 2007;38:3182–3185. [PubMed]
258. Teper E, O'Brien JT. Vascular factors and depression. Int J Geriatr Psychiatry. 2008;23:993–1000. [PubMed]
259. Roose S, Sneed JR. The current status of vascular depression. US Psychiatry. 2007;1:21–23.
259a. Erkinjuntti T, Bowler JV, DeCarli CS, Fazekas F, Inzitari D, O'Brien JT, Pantoni L, Rockwood K, Scheltens P, Wahlund LO, Desmond DW. Imaging of static brain lesions in vascular dementia: implications for clinical trials. Alzheimer Dis Assoc Disord. 1999;13(suppl 3):S81–S90. [PubMed]
260. Launer LJ. The epidemiologic study of dementia: a life-long quest? Neurobiol Aging. 2005;26:335–340. [PubMed]
261. Qiu C, Xu W, Fratiglioni L. Vascular and psychosocial factors in Alzheimer's disease: epidemiological evidence toward intervention. J Alzheimers Dis. 2010;20:689–697. [PubMed]
262. Iadecola C. The overlap between neurodegenerative and vascular factors in the pathogenesis of dementia. Acta Neuropathol. 2010;120:287–296. [PMC free article] [PubMed]
263. Arsenault LN, Matthan N, Scott TM, Dallal G, Lichtenstein AH, Folstein MF, Rosenberg I, Tucker KL. Validity of estimated dietary eicosapentaenoic acid and docosahexaenoic acid intakes determined by interviewer-administered food frequency questionnaire among older adults with mild-to-moderate cognitive impairment or dementia. Am J Epidemiol. 2009;170:95–103. [PMC free article] [PubMed]
264. Lobo A, Launer LJ, Fratiglioni L, Andersen K, Di Carlo A, Breteler MM, Copeland JR, Dartigues JF, Jagger C, Martinez-Lage J, Soininen H, Hofman A., Neurologic Diseases in the Elderly Research Group Prevalence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurology. 2000;54(suppl 5):S4–S9. [PubMed]
265. Solfrizzi V, Panza F, Colacicco AM, D'Introno A, Capurso C, Torres F, Grigoletto F, Maggi S, Del Parigi A, Reiman EM, Caselli RJ, Scafato E, Farchi G, Capurso A., Italian Longitudinal Study on Aging Working Group Vascular risk factors, incidence of MCI, and rates of progression to dementia. Neurology. 2004;63:1882–1891. [PubMed]
266. Busse A, Bischkopf J, Reigel-Heller SG, Angermeyer MC. Mild cognitive impairment: prevalence and incidence according to different diagnostic criteria. Br J Psychiatry. 2003;182:449–454. [PubMed]
267. Fratiglioni L, Launer LJ, Andersen K, Breteler MM, Copeland JR, Dartigues J-F, Lobo A, Martinez-Lage J, Soininen H, Hofman A., Neurologic Disease in the Elderly Research Group Incidence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurology. 2000;54(suppl 5):S10–S15. [PubMed]
268. Corrada MM, Brookmeyer R, Paganini-Hill A, Berlau D, Kawas CH. Dementia incidence continues to increase with age in the oldest old: the 90+ study. Ann Neurol. 2010;67:114–121. [PMC free article] [PubMed]
269. Pendlebury ST, Rothwell PM. Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 2009;8:1006–1018. [PubMed]
270. Ivan C, Seshadri S, Beiser A, Au R, Kase C, Kelly-Hayes M, Wolf PA. Dementia after stroke: the Framingham Study. Stroke. 2004;35:1264–1268. [PubMed]
271. Ruitenberg A, Ott A, van Swieten JC, Hofman A, Breteler MMB. Incidence of dementia: does gender make a difference? Neurobiol Aging. 2001;22:575–580. [PubMed]
272. Andersen K, Launer LJ, Dewey ME, Letenneur L, Ott A, Copeland JR, Dartigues JF, Kragh-Sorensen P, Baldereschi M, Brayne C, Lobo A, Martinez-Lage JM, Stijnen T, Hofman A., EURODEM Incidence Research Group Gender differences in the incidence of AD and vascular dementia: The EURODEM Studies. Neurology. 1999;53:1992–1997. [PubMed]
273. Lopez OL, Jagust WJ, Dulberg C, Becker JT, DeKosky ST, Fitzpatrick A, Breitner J, Lyketsos CG, Jones B, Kawas C, Carlson M, Kuller LH. Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 2. Arch Neurol. 2003;60:1394–1399. [PubMed]
274. Luchsinger JA, Tang MX, Stern Y, Shea S, Mayeux R. Diabetes mellitus and risk of Alzheimer's disease and dementia with stroke in a multi-ethnic cohort. Am J Epidemiol. 2001;154:635–641. [PubMed]
275. Matsui Y, Tanizaki Y, Arima H, Yonemoto K, Doi Y, Ninomiya T, Sasaki K, Iida M, Iwaki T, Kanba S, Kiyohara Y. Incidence and survival of dementia in a general population of Japanese elderly: the Hisayama study. J Neurol Neurosurg Psychiatry. 2009;80:366–370. [PubMed]
276. Eichner JE, Dunn ST, Perveen G, Thompson DM, Stewart KE, Stroehla BC. Apolipoprotein E polymorphism and cardiovascular disease: a HuGE review. Am J Epidemiol. 2002;155:487–495. [PubMed]
277. Kim KW, Youn JC, Han MK, Paik NJ, Lee TJ, Park JH, Lee SB, Choo IH, Lee DY, Jhoo JH, Woo JI. Lack of association between apolipo-protein E polymorphism and vascular dementia in Koreans. J Geriatr Psychiatry Neurol. 2008;21:12–17. [PubMed]
278. Debette S, Bis JC, Fornage M, Schmidt H, Ikram MA, Sigurdsson S, Heiss G, Struchalin M, Smith AV, van der Lugt A, DeCarli C, Lumley T, Knopman DS, Enzinger C, Eiriksdottir G, Koudstaal PJ, DeStefano AL, Psaty BM, Dufouil C, Catellier DJ, Fazekas F, Aspelund T, Aulchenko YS, Beiser A, Rotter JI, Tzourio C, Shibata DK, Tscherner M, Harris TB, Rivadeneira F, Atwood LD, Rice K, Gottesman RF, van Buchem MA, Uitterlinden AG, Kelly-Hayes M, Cushman M, Zhu Y, Boerwinkle E, Gudnason V, Hofman A, Romero JR, Lopez O, van Duijn CM, Au R, Heckbert SR, Wolf PA, Mosley TH, Seshadri S, Breteler MM, Schmidt R, Launer LJ, Longstreth WT., Jr Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium. Stroke. 2010;41:210–217. [PMC free article] [PubMed]
279. Ikram MA, Seshadri S, Bis JC, Fornage M, DeStefano AL, Aulchenko YS, Debette S, Lumley T, Folsom AR, van den Herik EG, Bos MJ, Beiser A, Cushman M, Launer LJ, Shahar E, Struchalin M, Du Y, Glazer NL, Rosamond WD, Rivadeneira F, Kelly-Hayes M, Lopez OL, Coresh J, Hofman A, DeCarli C, Heckbert SR, Koudstaal PJ, Yang Q, Smith NL, Kase CS, Rice K, Haritunians T, Roks G, de Kort PL, Taylor KD, de Lau LM, Oostra BA, Uitterlinden AG, Rotter JI, Boerwinkle E, Psaty BM, Mosley TH, van Duijn CM, Breteler MM, Longstreth WT, Jr, Wolf PA. Genomewide association studies of stroke. N Engl J Med. 2009;360:1718–1728. [PMC free article] [PubMed]
280. Ott A, Breteler MM, van Harskamp F, Claus JJ, van der Cammen TJ, Grobbee DE, Hofman A. Prevalence of Alzheimer's disease and vascular dementia: association with education: the Rotterdam study. BMJ. 1995;310:970–973. [PMC free article] [PubMed]
281. Manly JJ. Deconstructing race and ethnicity: implications for measurement of health outcomes. Med Care. 2006;44(suppl 3):S10–S16. [PubMed]
282. Cherubini A, Martin A, Andres-Lacueva C, Di Iorio A, Lamponi M, Mecocci P, Bartali B, Corsi A, Senin U, Ferrucci L. Vitamin E levels, cognitive impairment and dementia in older persons: the InCHIANTI study. Neurobiol Aging. 2005;26:987–994. [PubMed]
283. Jama JW, Launer LJ, Witteman JC, den Breeijen JH, Breteler MM, Grobbee DE, Hofman A. Dietary antioxidants and cognitive function in a population-based sample of older persons: the Rotterdam Study. Am J Epidemiol. 1996;144:275–280. [PubMed]
284. Morris MC, Evans DA, Tangney CC, Bienias JL, Wilson RS. Associations of vegetable and fruit consumption with age-related cognitive change. Neurology. 2006;67:1370–1376. [PMC free article] [PubMed]
285. Kang JH, Grodstein F. Plasma carotenoids and tocopherols and cognitive function: a prospective study. Neurobiol Aging. 2008;29:1394–1403. [PMC free article] [PubMed]
286. Kang JH, Cook NR, Manson JE, Buring JE, Albert CM, Grodstein F. Vitamin E, vitamin C, beta carotene, and cognitive function among women with or at risk of cardiovascular disease: the Women's Anti-oxidant and Cardiovascular Study. Circulation. 2009;119:2772–2780. [PMC free article] [PubMed]
287. Heart Protection Study Collaborative Group MRC/BHF Heart Protection Study of antioxidant vitamin supplementation in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet. 2002;360:23–33. [PubMed]
288. Bourre JM. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain, part 2: macronutrients. J Nutr Health Aging. 2006;10:386–399. [PubMed]
289. Kalmijn S, Feskens EJ, Launer LJ, Kromhout D. Polyunsaturated fatty acids, antioxidants, and cognitive function in very old men. Am J Epidemiol. 1997;145:33–41. [PubMed]
290. Heude B, Ducimetière P, Berr C. Cognitive decline and fatty acid composition of erythrocyte membranes: the EVA Study. Am J Clin Nutr. 2003;77:803–808. [PubMed]
291. Beydoun MA, Kaufman JS, Satia JA, Rosamond W, Folsom AR. Plasma n-3 fatty acids and the risk of cognitive decline in older adults: the Atherosclerosis Risk in Communities Study. Am J Clin Nutr. 2007;85:1103–1111. [PubMed]
292. Kalmijn S, van Boxtel MP, Ocke M, Verschuren WM, Kromhout D, Launer LJ. Dietary intake of fatty acids and fish in relation to cognitive performance at middle age. Neurology. 2004;62:275–280. [PubMed]
293. van de Rest O, Spiro A, 3rd, Krall-Kaye E, Geleijnse JM, de Groot LC, Tucker KL. Intakes of (n-3) fatty acids and fatty fish are not associated with cognitive performance and 6-year cognitive change in men participating in the Veterans Affairs Normative Aging Study. J Nutr. 2009;139:2329–2336. [PubMed]
294. Buell JS, Scott TM, Dawson-Hughes B, Dallal GE, Rosenberg IH, Folstein MF, Tucker KL. Vitamin D is associated with cognitive function in elders receiving home health services. J Gerontol A Biol Sci Med Sci. 2009;64:888–895. [PMC free article] [PubMed]
295. Slinin Y, Paudel ML, Taylor BC, Fink HA, Ishani A, Canales MT, Yaffe K, Barrett-Connor E, Orwoll ES, Shikany JM, Leblanc ES, Cauley JA, Ensrud KE., Osteoporotic Fractures in Men (MrOS) Study Research Group 25-Hydroxyvitamin D levels and cognitive performance and decline in elderly men. Neurology. 74:33–41. [PMC free article] [PubMed]
296. Welch GN, Loscalzo J. Homocysteine and atherothrombosis. N Engl J Med. 1998;338:1042–1050. [PubMed]
297. Miller JW, Green R, Ramos MI, Allen LH, Mungas DM, Jagust WJ, Haan MN. Homocysteine and cognitive function in the Sacramento Area Latino Study on Aging. Am J Clin Nutr. 2003;78:441–447. [PubMed]
298. Elias MF, Sullivan LM, D'Agostino RB, Elias PK, Jacques PF, Selhub J, Seshadri S, Au R, Beiser A, Wolf PA. Homocysteine and cognitive performance in the Framingham offspring study: age is important. Am J Epidemiol. 2005;162:644–653. [PubMed]
299. Prins ND, Den Heijer T, Hofman A, Koudstaal PJ, Jolles J, Clarke R, Breteler MM. Homocysteine and cognitive function in the elderly: the Rotterdam Scan Study. Neurology. 2002;59:1375–1380. [PubMed]
300. Kang JH, Cook N, Manson J, Buring JE, Albert CM, Grodstein F. A trial of B vitamins and cognitive function among women at high risk of cardiovascular disease. Am J Clin Nutr. 2008;88:1602–1610. [PMC free article] [PubMed]
301. Scarmeas N, Stern Y, Mayeux R, Manly JJ, Schupf N, Luchsinger JA. Mediterranean diet and mild cognitive impairment. Arch Neurol. 2009;66:216–225. [PMC free article] [PubMed]
302. Cotman CW, Berchtold NC, Christie LA. Exercise builds brain health: key roles of growth factor cascades and inflammation [published correction appears in Trends Neurosci. 2007;30:489]. Trends Neurosci. 2007;30:464–472. [PubMed]
303. Sturman MT, Morris MC, Mendes de Leon CF, Bienias JL, Wilson RS, Evans DA. Physical activity, cognitive activity, and cognitive decline in a biracial community population. Arch Neurol. 2005;62:1750–1754. [PubMed]
304. Weuve J, Kang JH, Manson JE, Breteler MM, Ware JH, Grodstein F. Physical activity, including walking, and cognitive function in older women. JAMA. 2004;292:1454–1461. [PubMed]
305. Soumaré A, Tavernier B, Alpérovitch A, Tzourio C, Elbaz A. A cross-sectional and longitudinal study of the relationship between walking speed and cognitive function in community-dwelling elderly people. J Gerontol A Biol Sci Med Sci. 2009;64:1058–1065. [PubMed]
306. Ravaglia G, Forti P, Lucicesare A, Pisacane N, Rietti E, Bianchin M, Dalmonte E. Physical activity and dementia risk in the elderly: findings from a prospective Italian study. Neurology. 2008;70(pt 2):1786–1794. [PubMed]
307. Hogan DB, Bailey P, Black S, Carswell A, Chertkow H, Clarke B, Cohen C, Fisk JD, Forbes D, Man-Son-Hing M, Lanctot K, Morgan D, Thorpe L. Diagnosis and treatment of dementia, 5: nonpharmacologic and pharmacologic therapy for mild to moderate dementia. CMAJ. 2008;179:1019–1026. [PMC free article] [PubMed]
308. Yaffe K, Fiocco AJ, Lindquist K, Vittinghoff E, Simonsick EM, Newman AB, Satterfield S, Rosano C, Rubin SM, Ayonayon HN, Harris TB. Predictors of maintaining cognitive function in older adults: the Health ABC study. Neurology. 2009;72:2029–2035. [PMC free article] [PubMed]
309. Liu-Ambrose T, Eng JJ, Boyd LA, Jacova C, Davis JC, Bryan S, Lee P, Brasher P, Hsiung GY. Promotion of the mind through exercise (PROMoTE): a proof-of-concept randomized controlled trial of aerobic exercise training in older adults with vascular cognitive impairment. BMC Neurol. 2010;10:14. [PMC free article] [PubMed]
310. Wu S, Liang J, Miao D. Physical activity and cognitive function in Alzheimer disease. JAMA. 2009;301:273. [PubMed]
311. Verghese J, Cuiling W, Katz MJ, Sanders A, Lipton RB. Leisure activities and risk of vascular cognitive impairment in older adults. J Geriatr Psychiatry Neurol. 2009;22:110–118. [PMC free article] [PubMed]
312. Middleton L, Kirkland S, Rockwood K. Prevention of CIND by physical activity: different impact on VCI-ND compared with MCI. J Neurol Sci. 2008;269:80–84. [PubMed]
313. Larson EB, Wang L, Bowen JD, McCormick WC, Teri L, Crane P, Kukull W. Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older. Ann Intern Med. 2006;144:73–81. [PubMed]
314. Cotman CW, Berchtold NC. Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci. 2002;25:295–301. [PubMed]
314a. University of Florida ClinicalTrials.gov [Internet] National Library of Medicine (US); Bethesda, MD: 2010. [July 10, 2011]. The LIFE Study: Lifestyle Interventions and Independence for Elders. http://clinicaltrials.gov/ct2/show/NCT01072500?term=Lifestyle+Interventions+and+Independence+for+Elders+Study&rank=1. NLM identifier: NCT01072500.
315. Elias PK, Elias MF, D'Agostino RB, Silbershatz H, Wolf PA. Alcohol consumption and cognitive performance in the Framingham Heart Study. Am J Epidemiol. 1999;150:580–589. [PubMed]
316. Stott DJ, Falconer A, Kerr GD, Murray HM, Trompet S, Westendorp RG, Buckley B, de Craen AJ, Sattar N, Ford I. Does low to moderate alcohol intake protect against cognitive decline in older people? J Am Geriatr Soc. 2008;56:2217–2224. [PubMed]
317. Ganguli M, Vander Bilt J, Saxton JA, Shen C, Dodge HH. Alcohol consumption and cognitive function in late life: a longitudinal community study. Neurology. 2005;65:1210–1217. [PubMed]
318. Gustafson DR, Karlsson C, Skoog I, Rosengren L, Lissner L, Blennow K. Mid-life adiposity factors relate to blood-brain barrier integrity in late life. J Intern Med. 2007;262:643–650. [PubMed]
319. Beydoun MA, Beydoun HA, Wang Y. Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta-analysis. Obes Rev. 2008;9:204–218. [PubMed]
320. Fitzpatrick AL, Kuller LH, Lopez OL, Diehr P, O'Meara ES, Longstreth WT, Jr, Luchsinger JA. Midlife and late-life obesity and the risk of dementia: cardiovascular health study. Arch Neurol. 2009;66:336–342. [PMC free article] [PubMed]
321. Stewart R, Masaki K, Xue QL, Peila R, Petrovitch H, White LR, Launer LJ. A 32-year prospective study of change in body weight and incident dementia: the Honolulu-Asia Aging Study. Arch Neurol. 2005;62:55–60. [PubMed]
322. Wolf PA, Beiser A, Elias MF, Au R, Vasan RS, Seshadri S. Relation of obesity to cognitive function: importance of central obesity and synergistic influence of concomitant hypertension: the Framingham Heart Study. Curr Alzheimer Res. 2007;4:111–116. [PubMed]
323. Anstey KJ, von Sanden C, Salim A, O'Kearney R. Smoking as a risk factor for dementia and cognitive decline: a meta-analysis of prospective studies. Am J Epidemiol. 2007;166:367–378. [PubMed]
324. Kalmijn S, van Boxtel MP, Verschuren MW, Jolles J, Launer LJ. Cigarette smoking and alcohol consumption in relation to cognitive performance in middle age. Am J Epidemiol. 2002;156:936–944. [PubMed]
325. Sabia S, Marmot M, Dufouil C, Singh-Manoux A. Smoking history and cognitive function in middle age from the Whitehall II study. Arch Intern Med. 2008;168:1165–1173. [PMC free article] [PubMed]
326. Poorthuis RB, Goriounova NA, Couey JJ, Mansvelder HD. Nicotinic actions on neuronal networks for cognition: general principles and long-term consequences. Biochem Pharmacol. 2009;78:668–676. [PubMed]
327. Crooks VC, Lubben J, Petitti DB, Little D, Chiu V. Social network, cognitive function, and dementia incidence among elderly women. Am J Public Health. 2008;98:1221–1227. [PubMed]
328. Buckman JF, Bates ME, Morgenstern J. Social support and cognitive impairment in clients receiving treatment for alcohol- and drug-use disorders: a replication study. J Stud Alcohol Drugs. 2008;69:738–746. [PubMed]
329. Yeh SC, Liu YY. Influence of social support on cognitive function in the elderly. BMC Health Serv Res. 2003;3:9. [PMC free article] [PubMed]
330. Béland F, Zunzunegui MV, Alvarado B, Otero A, Del Ser T. Trajectories of cognitive decline and social relations. J Gerontol B Psychol Sci Soc Sci. 2005;60:P320–P330. [PubMed]
331. Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10:77–84. [PubMed]
332. Ganguli M, Du Y, Dodge HH, Ratcliff GG, Chang CC. Depressive symptoms and cognitive decline in late life: a prospective epidemio-logical study. Arch Gen Psychiatry. 2006;63:153–160. [PubMed]
333. Godin O, Dufouil C, Ritchie K, Dartigues JF, Tzourio C, Pérès K, Artero S, Alpérovitch A. Depressive symptoms, major depressive episode and cognition in the elderly: the three-city study. Neuroepidemiology. 2007;28:101–108. [PubMed]
334. Yaffe K, Blackwell T, Gore R, Sands L, Reus V, Browner WS. Depressive symptoms and cognitive decline in nondemented elderly women: a prospective study. Arch Gen Psychiatry. 1999;56:425–430. [PubMed]
335. Barnes DE, Alexopoulos GS, Lopez OL, Williamson JD, Yaffe K. Depressive symptoms, vascular disease, and mild cognitive impairment: findings from the Cardiovascular Health Study. Arch Gen Psychiatry. 2006;63:273–279. [PubMed]
336. MacMahon S, Peto R, Cutler J, Collins R, Sorlie P, Neaton J, Abbott R, Godwin J, Dyer A, Stamler J. Blood pressure, stroke, and coronary heart disease, part 1: prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias. Lancet. 1990;335:765–774. [PubMed]
337. Knopman D, Boland LL, Mosley T, Howard G, Liao D, Szklo M, McGovern P, Folsom AR., Atherosclerosis Risk in Communities (ARIC) Study Investigators Cardiovascular risk factors and cognitive decline in middle-aged adults. Neurology. 2001;56:42–48. [PubMed]
338. Kivipelto M, Helkala EL, Hänninen T, Laakso MP, Hallikainen M, Alhainen K, Soininen H, Tuomilehto J, Nissinen A. Midlife vascular risk factors and late-life mild cognitive impairment: a population-based study. Neurology. 2001;56:1683–1689. [PubMed]
339. Reitz C, Tang MX, Manly J, Mayeux R, Luchsinger JA. Hypertension and the risk of mild cognitive impairment. Arch Neurol. 2007;64:1734–1740. [PMC free article] [PubMed]
340. Launer LJ, Ross GW, Petrovitch H, Masaki K, Foley D, White LR, Havlik RJ. Midlife blood pressure and dementia: the Honolulu-Asia aging study. Neurobiol Aging. 2000;21:49–55. [PubMed]
341. Yamada M, Mimori Y, Kasagi F, Miyachi T, Ohshita T, Sasaki H. Incidence and risks of dementia in Japanese women: Radiation Effects Research Foundation Adult Health Study. J Neurol Sci. 2009;283:57–61. [PubMed]
342. Birns J, Kalra L. Cognitive function and hypertension. J Hum Hypertens. 2009;23:86–96. [PubMed]
343. Qiu C, Winblad B, Fratiglioni L. The age-dependent relation of blood pressure to cognitive function and dementia. Lancet Neurol. 2005;4:487–499. [PubMed]
344. Craft S. The role of metabolic disorders in Alzheimer disease and vascular dementia: two roads converged. Arch Neurol. 2009;66:300–305. [PMC free article] [PubMed]
345. Yaffe K, Weston AL, Blackwell T, Krueger KA. The metabolic syndrome and development of cognitive impairment among older women. Arch Neurol. 2009;66:324–328. [PMC free article] [PubMed]
346. Young SE, Mainous AG, 3rd, Carnemolla M. Hyperinsulinemia and cognitive decline in a middle-aged cohort. Diabetes Care. 2006;29:2688–2693. [PubMed]
347. Saczynski JS, Jónsdóttir MK, Garcia ME, Jonsson PV, Peila R, Eiriksdottir G, Olafsdottir E, Harris TB, Gudnason V, Launer LJ. Cognitive impairment: an increasingly important complication of type 2 diabetes: the Age, Gene/Environment Susceptibility–Reykjavik study. Am J Epidemiol. 2008;168:1132–1139. [PMC free article] [PubMed]
348. Cukierman-Yaffe T, Gerstein HC, Williamson JD, Lazar RM, Lovato L, Miller ME, Coker LH, Murray A, Sullivan MD, Marcovina SM, Launer LJ. Relationship between baseline glycemic control and cognitive function in individuals with type 2 diabetes and other cardiovascular risk factors: the Action to Control Cardiovascular Risk in Diabetes-Memory in Diabetes (ACCORD-MIND) trial. Diabetes Care. 2009;32:221–226. [PMC free article] [PubMed]
349. Kalmijn S, Foley D, White L, Burchfiel CM, Curb JD, Petrovitch H, Ross GW, Havlik RJ, Launer LJ. Metabolic cardiovascular syndrome and risk of dementia in Japanese-American elderly men: the Honolulu-Asia Aging Study. Arterioscler Thromb Vasc Biol. 2000;20:2255–2260. [PubMed]
350. Peila R, Rodriguez BL, Launer LJ. Type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the Honolulu-Asia Aging Study. Diabetes. 2002;51:1256–1262. [PubMed]
351. Cosentino F, Battista R, Scuteri A, De Sensi F, De Siati L, Di Russo C, Camici GG, Volpe M. Impact of fasting glycemia and regional cerebral perfusion in diabetic subjects: a study with technetium-99m-ethyl cysteinate dimer single photon emission computed tomography. Stroke. 2009;40:306–308. [PubMed]
352. Elias MF, Elias PK, Sullivan LM, Wolf PA, D'Agostino RB. Obesity, diabetes and cognitive deficit: the Framingham Heart Study. Neurobiol Aging. 2005;26(suppl 1):11–16. [PubMed]
353. Whitmer RA, Karter AJ, Yaffe K, Quesenberry CP, Jr, Selby JV. Hypoglycemic episodes and risk of dementia in older patients with type 2 diabetes mellitus. JAMA. 2009;301:1565–1572. [PMC free article] [PubMed]
354. Solomon A, Kivipelto M, Wolozin B, Zhou J, Whitmer RA. Midlife serum cholesterol and increased risk of Alzheimer's and vascular dementia three decades later. Dement Geriatr Cogn Disord. 2009;28:75–80. [PMC free article] [PubMed]
355. Solomon A, K[anst]areholt I, Ngandu T, Wolozin B, Macdonald SW, Winblad B, Nissinen A, Tuomilehto J, Soininen H, Kivipelto M. Serum total cholesterol, statins and cognition in non-demented elderly. Neurobiol Aging. 2009;30:1006–1009. [PubMed]
356. Mielke MM, Zandi PP, Sjögren M, Gustafson D, Ostling S, Steen B, Skoog I. High total cholesterol levels in late life associated with a reduced risk of dementia. Neurology. 2005;64:1689–1695. [PubMed]
357. Reitz C, Tang MX, Luchsinger J, Mayeux R. Relation of plasma lipids to Alzheimer disease and vascular dementia. Arch Neurol. 2004;61:705–714. [PMC free article] [PubMed]
358. Trompet S, van Vliet P, de Craen AJ, Jolles J, Buckley BM, Murphy MB, Ford I, Macfarlane PW, Sattar N, Packard CJ, Stott DJ, Shepherd J, Bollen EL, Blauw GJ, Jukema JW, Westendorp RG. Pravastatin and cognitive function in the elderly: results of the PROSPER study. J Neurol. 2010;257:85–90. [PubMed]
359. Engelhart MJ, Geerlings MI, Meijer J, Kiliaan A, Ruitenberg A, van Swieten JC, Stijnen T, Hofman A, Witteman JC, Breteler MM. Inflammatory proteins in plasma and the risk of dementia: the Rotterdam study. Arch Neurol. 2004;61:668–672. [PubMed]
360. Schmidt R, Schmidt H, Curb JD, Masaki K, White LR, Launer LJ. Early inflammation and dementia: a 25-year follow-up of the Honolulu-Asia Aging Study. Ann Neurol. 2002;52:168–174. [PubMed]
361. Ravaglia G, Forti P, Maioli F, Chiappelli M, Montesi F, Tumini E, Mariani E, Licastro F, Patterson C. Blood inflammatory markers and risk of dementia: the Conselice Study of Brain Aging. Neurobiol Aging. 2007;28:1810–1820. [PubMed]
362. Rosano C, Naydeck B, Kuller LH, Longstreth WT, Jr, Newman AB. Coronary artery calcium: associations with brain magnetic resonance imaging abnormalities and cognitive status. J Am Geriatr Soc. 2005;53:609–615. [PubMed]
363. Vidal JS, Sigurdsson S, Jonsdottir MK, Eiriksdottir G, Thorgeirsson G, Kjartansson O, Garcia ME, van Buchem MA, Harris TB, Gudnason V, Launer LJ. Coronary artery calcium, brain function and structure: the AGES-Reykjavik Study. Stroke. 2010;41:891–897. [PMC free article] [PubMed]
364. McKhann GM, Grega MA, Borowicz LM, Jr, Bailey MM, Barry SJ, Zeger SL, Baumgartner WA, Selnes OA. Is there cognitive decline 1 year after CABG? Comparison with surgical and nonsurgical controls. Neurology. 2005;65:991–999. [PubMed]
365. Rosengart TK, Sweet JJ, Finnin E, Wolfe P, Cashy J, Hahn E, Marymont J, Sanborn T. Stable cognition after coronary artery bypass grafting: comparisons with percutaneous intervention and normal controls. Ann Thorac Surg. 2006;82:597–607. [PubMed]
366. Brouns R, De Deyn PP. Neurological complications in renal failure: a review. Clin Neurol Neurosurg. 2004;107:1–16. [PubMed]
367. Kurella M, Yaffe K, Shlipak MG, Wenger NK, Chertow GM. Chronic kidney disease and cognitive impairment in menopausal women. Am J Kidney Dis. 2005;45:66–76. [PubMed]
368. Elias MF, Elias PK, Seliger SL, Narsipur SS, Dore GA, Robbins MA. Chronic kidney disease, creatinine and cognitive functioning. Nephrol Dial Transplant. 2009;24:2446–2452. [PMC free article] [PubMed]
369. Seliger SL, Siscovick DS, Stehman-Breen CO, Gillen DL, Fitzpatrick A, Bleyer A, Kuller LH. Moderate renal impairment and risk of dementia among older adults: the Cardiovascular Health Cognition Study. J Am Soc Nephrol. 2004;15:1904–1911. [PubMed]
370. Wolf PA, D'Agostino RB, Belanger AJ, Kannel WB. Probability of stroke: a risk profile from the Framingham Study. Stroke. 1991;22:312–318. [PubMed]
371. Bunch TJ, Weiss JP, Crandall BG, May HT, Bair TL, Osborn JS, Anderson JL, Muhlestein JB, Horne BD, Lappe DL, Day JD. Atrial fibrillation is independently associated with senile, vascular, and Alzheimer's dementia. Heart Rhythm. 2010;7:433–437. [PubMed]
372. Elias MF, Sullivan LM, Elias PK, Vasan RS, D'Agostino RB, Sr, Seshadri S, Au R, Wolf PA, Benjamin EJ. Atrial fibrillation is associated with lower cognitive performance in the Framingham offspring men. J Stroke Cerebrovasc Dis. 2006;15:214–222. [PubMed]
373. Ott A, Breteler MM, de Bruyne MC, van Harskamp F, Grobbee DE, Hofman A. Atrial fibrillation and dementia in a population-based study: the Rotterdam Study. Stroke. 1997;28:316–321. [PubMed]
374. Ravaglia G, Forti P, Montesi F, Lucicesare A, Pisacane N, Rietti E, Dalmonte E, Bianchin M, Mecocci P. Mild cognitive impairment: epidemiology and dementia risk in an elderly Italian population. J Am Geriatr Soc. 2008;56:51–58. [PubMed]
375. Mead GE, Keir S. Association between cognitive impairment and atrial fibrillation: a systematic review. J Stroke Cerebrovasc Dis. 2001;10:35–43. [PubMed]
376. Miyasaka Y, Barnes ME, Petersen RC, Cha SS, Bailey KR, Gersh BJ, Casaclang-Verzosa G, Abhayaratna WP, Seward JB, Iwasaka T, Tsang TS. Risk of dementia in stroke-free patients diagnosed with atrial fibril lation: data from a community-based cohort. Eur Heart J. 2007;28:1962–1967. [PubMed]
377. Laurin D, Masaki KH, White LR, Launer LJ. Ankle-to-brachial index and dementia: the Honolulu-Asia Aging Study. Circulation. 2007;116:2269–2274. [PubMed]
378. Newman AB, Fitzpatrick AL, Lopez O, Jackson S, Lyketsos C, Jagust W, Ives D, Dekosky ST, Kuller LH. Dementia and Alzheimer's disease incidence in relationship to cardiovascular disease in the Cardiovascular Health Study cohort. J Am Geriatr Soc. 2005;53:1101–1107. [PubMed]
379. Dore GA, Elias MF, Robbins MA, Elias PK, Nagy Z. Presence of the APOE epsilon4 allele modifies the relationship between type 2 diabetes and cognitive performance: the Maine-Syracuse Study [published correction appears in Diabetologia. 2009;52:2670]. Diabetologia. 2009;52:2551–2560. [PubMed]
380. Jefferson AL, Himali JJ, Beiser AS, Au R, Massaro JM, Seshadri S, Gona P, Salton CJ, DeCarli C, O'Donnell CJ, Benjamin EJ, Wolf PA, Manning WJ. Cardiac index is associated with brain aging: the Framingham Heart Study. Circulation. 2010;122:690–697. [PMC free article] [PubMed]
381. Jefferson AL, Poppas A, Paul RH, Cohen RA. Systemic hypoperfusion is associated with executive dysfunction in geriatric cardiac patients. Neurobiol Aging. 2007;28:477–483. [PMC free article] [PubMed]
382. Jefferson AL, Tate DF, Poppas A, Brickman AM, Paul RH, Gunstad J, Cohen RA. Lower cardiac output is associated with greater white matter hyperintensities in older adults with cardiovascular disease. J Am Geriatr Soc. 2007;55:1044–1048. [PMC free article] [PubMed]
383. Gruhn N, Larsen FS, Boesgaard S, Knudsen GM, Mortensen SA, Thomsen G, Aldershvile J. Cerebral blood flow in patients with chronic heart failure before and after heart transplantation. Stroke. 2001;32:2530–2533. [PubMed]
384. Tranmer BI, Keller TS, Kindt GW, Archer D. Loss of cerebral regulation during cardiac output variations in focal cerebral ischemia. J Neurosurg. 1992;77:253–259. [PubMed]
385. Shibata M, Ohtani R, Ihara M, Tomimoto H. White matter lesions and glial activation in a novel mouse model of chronic cerebral hypoper-fusion. Stroke. 2004;35:2598–2603. [PubMed]
386. Marstrand JR, Garde E, Rostrup E, Ring P, Rosenbaum S, Mortensen EL, Larsson HB. Cerebral perfusion and cerebrovascular reactivity are reduced in white matter hyperintensities. Stroke. 2002;33:972–976. [PubMed]
387. Hatazawa J, Shimosegawa E, Satoh T, Toyoshima H, Okudera T. Sub-cortical hypoperfusion associated with asymptomatic white matter lesions on magnetic resonance imaging. Stroke. 1997;28:1944–1947. [PubMed]
388. Erkinjuntti T, Román G, Gauthier S, Feldman H, Rockwood K. Emerging therapies for vascular dementia and vascular cognitive impairment. Stroke. 2004;35:1010–1017. [PubMed]
389. Moorhouse P, Rockwood K. Vascular cognitive impairment: current concepts and clinical developments. Lancet Neurol. 2008;7:246–255. [PubMed]
390. Bocti C, Black S, Frank C. Management of dementia with a cerebrovascular component. Alzheimers Dement. 2007;3:398–403. [PubMed]
391. Patterson CJ, Gauthier S, Bergman H, Cohen CA, Feightner JW, Feldman H, Hogan DB. The recognition, assessment and management of dementing disorders: conclusions from the Canadian Consensus Conference on Dementia. CMAJ. 1999;160(suppl):S1–S15. [PMC free article] [PubMed]
392. Herrmann N, Gauthier S. Diagnosis and treatment of dementia, 6: management of severe Alzheimer disease. CMAJ. 2008;179:1279–1287. [PMC free article] [PubMed]
393. Behl P, Bocti C, Swartz RH, Gao F, Sahlas DJ, Lanctot KL, Streiner DL, Black SE. Strategic subcortical hyperintensities in cholinergic pathways and executive function decline in treated Alzheimer patients. Arch Neurol. 2007;64:266–272. [PubMed]
394. Bocti C, Swartz RH, Gao FQ, Sahlas DJ, Behl P, Black SE. A new visual rating scale to assess strategic white matter hyperintensities within cholinergic pathways in dementia. Stroke. 2005;36:2126–2131. [PubMed]
395. Erkinjuntti T, Román G, Gauthier S. Treatment of vascular dementia: evidence from clinical trials with cholinesterase inhibitors. J Neurol Sci. 2004;226:63–66. [PubMed]
396. Black S, Román GC, Geldmacher DS, Salloway S, Hecker J, Burns A, Perdomo C, Kumar D, Pratt R., Donepezil 307 Vascular Dementia Study Group Efficacy and tolerability of donepezil in vascular dementia: positive results of a 24-week, multicenter, international, randomized, placebo-controlled clinical trial. Stroke. 2003;34:2323–2330. [PubMed]
397. Malouf R, Birks J. Donepezil for vascular cognitive impairment. Cochrane Database Syst Rev. 2004;(1):CD004395. [PubMed]
398. Román GC, Salloway S, Black SE, Royall DR, Decarli C, Weiner MW, Moline M, Kumar D, Schindler R, Posner H. Randomized, placebo-controlled, clinical trial of donepezil in vascular dementia: differential effects by hippocampal size. Stroke. 2010;41:1213–1221. [PMC free article] [PubMed]
399. Román GC, Wilkinson DG, Doody RS, Black SE, Salloway SP, Schindler RJ. Donepezil in vascular dementia: combined analysis of two large-scale clinical trials. Dement Geriatr Cogn Disord. 2005;20:338–344. [PubMed]
400. Wilkinson D, Doody R, Helme R, Taubman K, Mintzer J, Kertesz A, Pratt RD., Donepezil 308 Study Group Donepezil in vascular dementia: a randomized, placebo-controlled study. Neurology. 2003;61:479–486. [PubMed]
401. Auchus AP, Brashear HR, Salloway S, Korczyn AD, De Deyn PP, Gassmann-Mayer C., GAL-INT-26 Study Group Galantamine treatment of vascular dementia: a randomized trial. Neurology. 2007;69:448–458. [PubMed]
402. Craig D, Birks J. Galantamine for vascular cognitive impairment. Cochrane Database Syst Rev. 2006;(1):CD004746. [PubMed]
403. Erkinjuntti T, Kurz A, Gauthier S, Bullock R, Lilienfeld S, Damaraju CV. Efficacy of galantamine in probable vascular dementia and Alzheimer's disease combined with cerebrovascular disease: a randomised trial. Lancet. 2002;359:1283–1290. [PubMed]
404. Craig D, Birks J. Rivastigmine for vascular cognitive impairment. Cochrane Database Syst Rev. 2005;(2):CD004744. [PubMed]
405. Narasimhalu K, Effendy S, Sim CH, Lee JM, Chen I, Hia SB, Xue HL, Corrales MP, Chang HM, Wong MC, Chen CP, Tan EK. A randomized controlled trial of rivastigmine in patients with cognitive impairment no dementia because of cerebrovascular disease. Acta Neurol Scand. 2010;121:217–224. [PubMed]
406. Orgogozo JM, Rigaud AS, Stöffler A, Möbius HJ, Forette F. Efficacy and safety of memantine in patients with mild to moderate vascular dementia: a randomized, placebo-controlled trial (MMM 300). Stroke. 2002;33:1834–1839. [PubMed]
407. Wilcock G, Möbius HJ, Stöffler A., MMM 500 Group A double-blind, placebo-controlled multicentre study of memantine in mild to moderate vascular dementia (MMM500). Int Clin Psychopharmacol. 2002;17:297–305. [PubMed]
408. Dichgans M, Markus HS, Salloway S, Verkkoniemi A, Moline M, Wang Q, Posner H, Chabriat HS. Donepezil in patients with subcortical vascular cognitive impairment: a randomised double-blind trial in CADASIL. Lancet Neurol. 2008;7:310–318. [PubMed]
409. Moretti R, Torre P, Antonello RM, Cazzato G, Bava A. Rivastigmine in subcortical vascular dementia: an open 22-month study. J Neurol Sci. 2002;203–204:141–146. [PubMed]
410. McShane R, Areosa Sastre A, Minakaran N. Memantine for dementia. Cochrane Database Syst Rev. 2006;(2):CD003154. [PubMed]
411. Kavirajan H, Schneider LS. Efficacy and adverse effects of cholinesterase inhibitors and memantine in vascular dementia: a meta-analysis of randomised controlled trials. Lancet Neurol. 2007;6:782–792. [PubMed]
412. Demaerschalk BM, Wingerchuk DM. Treatment of vascular dementia and vascular cognitive impairment. Neurologist. 2007;13:37–41. [PubMed]
413. Fioravanti M, Yanagi M. Cytidinediphosphocholine (CDP-choline) for cognitive and behavioural disturbances associated with chronic cerebral disorders in the elderly. Cochrane Database Syst Rev. 2005;(2):CD000269. [PubMed]
414. Tomassoni D, Lanari A, Silvestrelli G, Traini E, Amenta F. Nimodipine and its use in cerebrovascular disease: evidence from recent preclinical and controlled clinical studies. Clin Exp Hypertens. 2008;30:744–766. [PubMed]
415. Flicker L, Grimley Evans G. Piracetam for dementia or cognitive impairment. Cochrane Database Syst Rev. 2001;(2):CD001011. [PubMed]
416. Hao Z, Liu M, Liu Z, Lv D. Huperzine A for vascular dementia. Cochrane Database Syst Rev. 2009;(2):CD007365. [PubMed]
417. Szatmari SZ, Whitehouse PJ. Vinpocetine for cognitive impairment and dementia. Cochrane Database Syst Rev. 2003;(1):CD003119. [PubMed]
418. Royall DR, Cordes JA, Román G, Velez A, Edwards A, Schillerstrom JS, Polk MJ. Sertraline improves executive function in patients with vascular cognitive impairment. J Neuropsychiatry Clin Neurosci. 2009;21:445–454. [PubMed]
419. Clare L, Woods RT, Moniz Cook ED, Orrell M, Spector A. Cognitive rehabilitation and cognitive training for early-stage Alzheimer's disease and vascular dementia. Cochrane Database Syst Rev. 2003;(4):CD003260. [PubMed]
420. Quayhagen MP, Quayhagen M, Corbeil RR, Hendrix RC, Jackson JE, Snyder L, Bower D. Coping with dementia: evaluation of four nonpharmacologic interventions. Int Psychogeriatr. 2000;12:249–265. [PubMed]
421. Yu J, Liu C, Zhang X, Han J. Acupuncture improved cognitive impairment caused by multi-infarct dementia in rats. Physiol Behav. 2005;86:434–441. [PubMed]
422. Peng WN, Zhao H, Liu ZS, Wang S. Acupuncture for vascular dementia. Cochrane Database Syst Rev. 2007;(2):CD004987. [PubMed]
423. Brookmeyer R, Johnson E, Ziegler-Graham K, Arrighi HM. Forecasting the global burden of Alzheimer's disease. Alzheimers Dement. 2007;3:186–191. [PubMed]
424. Kloppenborg RP, van den Berg E, Kappelle LJ, Biessels GJ. Diabetes and other vascular risk factors for dementia: which factor matters most? A systematic review. Eur J Pharmacol. 2008;585:97–108. [PubMed]
425. Gluckman PD, Hanson MA, Cooper C, Thornburg KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008;359:61–73. [PubMed]
426. Deary IJ, Batty GD. Cognitive epidemiology. J Epidemiol Community Health. 2007;61:378–384. [PMC free article] [PubMed]
427. Victora CG. Nutrition in early life: a global priority. Lancet. 2009;374:1123–1125. [PubMed]
428. Kennelly SP, Lawlor BA, Kenny RA. Blood pressure and the risk for dementia: a double edged sword. Ageing Res Rev. 2009;8:61–70. [PubMed]
429. Haag MD, Hofman A, Koudstaal PJ, Breteler MM, Stricker BH. Duration of antihypertensive drug use and risk of dementia: a prospective cohort study. Neurology. 2009;72:1727–1734. [PubMed]
430. Yasar S, Corrada M, Brookmeyer R, Kawas C. Calcium channel blockers and risk of AD: the Baltimore Longitudinal Study of Aging. Neurobiol Aging. 2005;26:157–163. [PubMed]
431. Peila R, White LR, Masaki K, Petrovitch H, Launer LJ. Reducing the risk of dementia: efficacy of long-term treatment of hypertension. Stroke. 2006;37:1165–1170. [PubMed]
432. in't Veld BA, Ruitenberg A, Hofman A, Stricker BH, Breteler MM. Antihypertensive drugs and incidence of dementia: the Rotterdam Study. Neurobiol Aging. 2001;22:407–412. [PubMed]
433. Lindsay J, Laurin D, Verreault R, Hébert R, Helliwell B, Hill GB, McDowell I. Risk factors for Alzheimer's disease: a prospective analysis from the Canadian Study of Health and Aging. Am J Epidemiol. 2002;156:445–453. [PubMed]
434. Morris MC, Scherr PA, Hebert LE, Glynn RJ, Bennett DA, Evans DA. Association of incident Alzheimer disease and blood pressure measured from 13 years before to 2 years after diagnosis in a large community study. Arch Neurol. 2001;58:1640–1646. [PubMed]
435. Guo Z, Fratiglioni L, Zhu L, Fastbom J, Winblad B, Viitanen M. Occurrence and progression of dementia in a community population aged 75 years and older: relationship of antihypertensive medication use. Arch Neurol. 1999;56:991–996. [PubMed]
436. Khachaturian AS, Zandi PP, Lyketsos CG, Hayden KM, Skoog I, Norton MC, Tschanz JT, Mayer LS, Welsh-Bohmer KA, Breitner JC. Antihypertensive medication use and incident Alzheimer disease: the Cache County Study. Arch Neurol. 2006;63:686–692. [PubMed]
437. Qiu C, von Strauss E, Fastbom J, Winblad B, Fratiglioni L. Low blood pressure and risk of dementia in the Kungsholmen project: a 6-year follow-up study. Arch Neurol. 2003;60:223–228. [PubMed]
438. Li NC, Lee A, Whitmer RA, Kivipelto M, Lawler E, Kazis LE, Wolozin B. Use of angiotensin receptor blockers and risk of dementia in a predominantly male population: prospective cohort analysis. BMJ. 2010;340:b5465. [PMC free article] [PubMed]
438a. Lu FP, Lin KP, Kuo HK. Diabetes and the risk of multi-system aging phenotypes: a systematic review and meta-analysis. PLoS One. 2009;4:e4144. [PMC free article] [PubMed]
439. Akiguchi I, Tomimoto H, Wakita H, Kawamoto Y, Matsuo A, Ohnishi K, Watanabe T, Budka H. Topographical and cytopathological lesion analysis of the white matter in Binswanger's disease brains. Acta Neuropathol. 2004;107:563–570. [PubMed]
440. SHEP Cooperative Research Group Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). JAMA. 1991;265:3255–3264. [PubMed]
441. Diener HC, Sacco RL, Yusuf S, Cotton D, Ounpuu S, Lawton WA, Palesch Y, Martin RH, Albers GW, Bath P, Bornstein N, Chan BP, Chen ST, Cunha L, Dahlöf B, De Keyser J, Donnan GA, Estol C, Gorelick P, Gu V, Hermansson K, Hilbrich L, Kaste M, Lu C, Machnig T, Pais P, Roberts R, Skvortsova V, Teal P, Toni D, VanderMaelen C, Voigt T, Weber M, Yoon BW., Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) Study Group Effects of aspirin plus extended-release dipyridamole versus clopidogrel and telmisartan on disability and cognitive function after recurrent stroke in patients with ischaemic stroke in the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) trial: a double-blind, active and placebo-controlled study. Lancet Neurol. 2008;7:875–884. [PMC free article] [PubMed]
442. Forette F, Seux ML, Staessen JA, Thijs L, Birkenhager WH, Babarskiene MR, Babeanu S, Bossini A, Gil-Extremera B, Girerd X, Laks T, Lilov E, Moisseyev V, Tuomilehto J, Vanhanen H, Webster J, Yodfat Y, Fagard R. Prevention of dementia in randomised double-blind placebo-controlled Systolic Hypertension in Europe (Syst-Eur) trial. Lancet. 1998;352:1347–1351. [PubMed]
443. Lithell H, Hansson L, Skoog I, Elmfeldt D, Hofman A, Olofsson B, Trenkwalder P, Zanchetti A., SCOPE Study Group The Study on Cognition and Prognosis in the Elderly (SCOPE): principal results of a randomized double-blind intervention trial. J Hypertens. 2003;21:875–886. [PubMed]
444. Peters R, Beckett N, Forette F, Tuomilehto J, Clarke R, Ritchie C, Waldman A, Walton I, Poulter R, Ma S, Comsa M, Burch L, Fletcher A, Bulpitt C., HYVET Investigators Incident dementia and blood pressure lowering in the Hypertension in the Very Elderly Trial cognitive function assessment (HYVET-COG): a double-blind, placebo controlled trial. Lancet Neurol. 2008;7:683–689. [PubMed]
445. Tzourio C, Anderson C, Chapman N, Woodward M, Neal B, MacMahon S, Chalmers J., PROGRESS Collaborative Group Effects of blood pressure lowering with perindopril and indapamide therapy on dementia and cognitive decline in patients with cerebrovascular disease. Arch Intern Med. 2003;163:1069–1075. [PubMed]
446. Yusuf S, Diener HC, Sacco RL, Cotton D, Ounpuu S, Lawton WA, Palesch Y, Martin RH, Albers GW, Bath P, Bornstein N, Chan BP, Chen ST, Cunha L, Dahlöf B, De Keyser J, Donnan GA, Estol C, Gorelick P, Gu V, Hermansson K, Hilbrich L, Kaste M, Lu C, Machnig T, Pais P, Roberts R, Skvortsova V, Teal P, Toni D, VanderMaelen C, Voigt T, Weber M, Yoon BW., PRoFESS Study Group Telmisartan to prevent recurrent stroke and cardiovascular events. N Engl J Med. 2008;359:1225–1237. [PMC free article] [PubMed]
447. Di Bari M, Pahor M, Franse LV, Shorr RI, Wan JY, Ferrucci L, Somes GW, Applegate WB. Dementia and disability outcomes in large hyper-tension trials: lessons learned from the Systolic Hypertension in the Elderly Program (SHEP) trial. Am J Epidemiol. 2001;153:72–78. [PubMed]
448. Lithell H, Hansson L, Skoog I, Elmfeldt D, Hofman A, Olofsson B, Trenkwalder P, Zanchetti A., SCOPE Study Group The Study on COgnition and Prognosis in the Elderly (SCOPE): outcomes in patients not receiving add-on therapy after randomization. J Hypertens. 2004;22:1605–1612. [PubMed]
449. Staessen JA, Fagard R, Thijs L, Celis H, Arabidze GG, Birkenhager WH, Bulpitt CJ, de Leeuw PW, Dollery CT, Fletcher AE, Forette F, Leonetti G, Nachev C, O'Brien ET, Rosenfeld J, Rodicio JL, Tuomilehto J, Zanchetti A., the Systolic Hypertension in Europe (Syst-Eur) Trial Investigators Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. Lancet. 1997;350:757–764. [PubMed]
450. Forette F, Seux ML, Staessen JA, Thijs L, Babarskiene MR, Babeanu S, Bossini A, Fagard R, Gil-Extremera B, Laks T, Kobalava Z, Sarti C, Tuomilehto J, Vanhanen H, Webster J, Yodfat Y, Birkenhäger WH., Systolic Hypertension in Europe Investigators The prevention of dementia with antihypertensive treatment: new evidence from the Systolic Hypertension in Europe (Syst-Eur) study [published correction appears in Arch Intern Med. 2003;163:241]. Arch Intern Med. 2002;162:2046–2052. [PubMed]
451. PROGRESS Collaborative Group Randomised trial of a perindopril-based blood-pressure-lowering regimen among 6,105 individuals with previous stroke or transient ischaemic attack [published corrections appear in Lancet. 2001;358:1556 and Lancet. 2002;359: 2120]. Lancet. 2001;358:1033–1041. [PubMed]
452. Dufouil C, Chalmers J, Coskun O, Besancon V, Bousser MG, Guillon P, MacMahon S, Mazoyer B, Neal B, Woodward M, Tzourio-Mazoyer N, Tzourio C., PROGRESS MRI Substudy Investigators Effects of blood pressure lowering on cerebral white matter hyperintensities in patients with stroke: the PROGRESS (Perindopril Protection Against Recurrent Stroke Study) Magnetic Resonance Imaging Substudy. Circulation. 2005;112:1644–1650. [PubMed]
453. Feigin V, Ratnasabapathy Y, Anderson C. Does blood pressure lowering treatment prevents dementia or cognitive decline in patients with cardiovascular and cerebrovascular disease? J Neurol Sci. 2005;229–230:151–155. [PubMed]
454. Birns J, Morris R, Donaldson N, Kalra L. The effects of blood pressure reduction on cognitive function: a review of effects based on pooled data from clinical trials. J Hypertens. 2006;24:1907–1914. [PubMed]
455. McGuinness B, Todd S, Passmore P, Bullock R. Blood pressure lowering in patients without prior cerebrovascular disease for prevention of cognitive impairment and dementia. Cochrane Database Syst Rev. 2009;(4):CD004034. [PubMed]
456. McGuinness B, Todd S, Passmore AP, Bullock R. Systematic review: Blood pressure lowering in patients without prior cerebrovascular disease for prevention of cognitive impairment and dementia. J Neurol Neurosurg Psychiatry. 2008;79:4–5. [PubMed]
457. Ray KK, Seshasai SR, Wijesuriya S, Sivakumaran R, Nethercott S, Preiss D, Erqou S, Sattar N. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials. Lancet. 2009;373:1765–1772. [PubMed]
458. de Galan BE, Zoungas S, Chalmers J, Anderson C, Dufouil C, Pillai A, Cooper M, Grobbee DE, Hackett M, Hamet P, Heller SR, Lisheng L, Macmahon S, Mancia G, Neal B, Pan CY, Patel A, Poulter N, Travert F, Woodward M., ADVANCE Collaborative Group Cognitive function and risks of cardiovascular disease and hypoglycaemia in patients with type 2 diabetes: the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial. Diabetologia. 2009;52:2328–2336. [PubMed]
459. Areosa SA, Grimley EV. Effect of the treatment of type II diabetes mellitus on the development of cognitive impairment and dementia. Cochrane Database Syst Rev. 2002;(4):CD003804. [PubMed]
460. Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, Kirby A, Sourjina T, Peto R, Collins R, Simes R., Cholesterol Treatment Trialists’ (CTT) Collaborators Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins [published corrections appear in Lancet. 2005;366:1358 and Lancet. 2008;371:2084]. Lancet. 2005;366:1267–1278. [PubMed]
461. Amarenco P, Bogousslavsky J, Callahan A, 3rd, Goldstein LB, Hennerici M, Rudolph AE, Sillesen H, Simunovic L, Szarek M, Welch KM, Zivin JA., Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) Investigators High-dose atorvastatin after stroke or transient ischemic attack. N Engl J Med. 2006;355:549–559. [PubMed]
462. McGuinness B, Craig D, Bullock R, Passmore P. Statins for the prevention of dementia. Cochrane Database Syst Rev. 2009;(2):CD003160. [PubMed]
463. Rech RL, de Lima MN, Dornelles A, Garcia VA, Alcalde LA, Vedana G, Schröder N. Reversal of age-associated memory impairment by rosuvastatin in rats. Exp Gerontol. 2010;45:351–356. [PubMed]
463a. National Institute on Aging ClinicalTrials.gov [Internet] National Library of Medicine (US); Bethesda, MD: 2009. [July 10, 2011]. Cholesterol Lowering Agent to Slow Progression (CLASP) of Alzheimer's Disease Study. http://www.clinicaltrials.gov/ct2/show/NCT00053599?term=clasp&rank=1. NLM identifier: NCT00053599.
464. Feldman HH, Doody RS, Kivipelto M, Sparks DL, Waters DD, Jones RW, Schwam E, Schindler R, Hey-Hadavi J, DeMicco DA, Breazna A., LEADe Investigators Randomized controlled trial of atorvastatin in mild to moderate Alzheimer disease: LEADe. Neurology. 2010;74:956–964. [PubMed]
465. Nilsson SE, Johansson B, Takkinen S, Berg S, Zarit S, McClearn G, Melander A. Does aspirin protect against Alzheimer's dementia? A study in a Swedish population-based sample aged > or =80 years. Eur J Clin Pharmacol. 2003;59:313–319. [PubMed]
466. Szekely CA, Green RC, Breitner JC, Østbye T, Beiser AS, Corrada MM, Dodge HH, Ganguli M, Kawas CH, Kuller LH, Psaty BM, Resnick SM, Wolf PA, Zonderman AB, Welsh-Bohmer KA, Zandi PP. No advantage of A beta 42-lowering NSAIDs for prevention of Alzheimer dementia in six pooled cohort studies. Neurology. 2008;70:2291–2298. [PMC free article] [PubMed]
467. Kang JH, Cook N, Manson J, Buring JE, Grodstein F. Low dose aspirin and cognitive function in the Women's Health Study cognitive cohort. BMJ. 2007;334:987. [PMC free article] [PubMed]
468. Waldstein SR, Wendell CR, Seliger SL, Ferrucci L, Metter EJ, Zonderman AB. Nonsteroidal anti-inflammatory drugs, aspirin, and cognitive function in the Baltimore Longitudinal Study of Aging. J Am Geriatr Soc. 2010;58:38–43. [PMC free article] [PubMed]
469. Price JF, Stewart MC, Deary IJ, Murray GD, Sandercock P, Butcher I, Fowkes FG., AAA Trialists Low dose aspirin and cognitive function in middle aged to elderly adults: randomised controlled trial. BMJ. 2008;337:a1198. [PMC free article] [PubMed]
470. Féart C, Samieri C, Rondeau V, Amieva H, Portet F, Dartigues JF, Scarmeas N, Barberger-Gateau P. Adherence to a Mediterranean diet, cognitive decline, and risk of dementia [published correction appears in JAMA. 2009;302:2436]. JAMA. 2009;302:638–648. [PMC free article] [PubMed]
471. Tangney CC, Kwasny MJ, Li H, Wilson RS, Evans DA, Morris MC. Adherence to a Mediterranean-type dietary pattern and cognitive decline in a community population. Am J Clin Nutr. 2011;93:601–607. [PubMed]
472. Scarmeas N, Luchsinger JA, Schupf N, Brickman AM, Cosentino S, Tang MX, Stern Y. Physical activity, diet, and risk of Alzheimer disease. JAMA. 2009;302:627–637. [PMC free article] [PubMed]
473. Baker LD, Frank LL, Foster-Schubert K, Green PS, Wilkinson CW, McTiernan A, Plymate SR, Fishel MA, Watson GS, Cholerton BA, Duncan GE, Mehta PD, Craft S. Effects of aerobic exercise on mild cognitive impairment: a controlled trial. Arch Neurol. 2010;67:71–79. [PMC free article] [PubMed]
474. Angevaren M, Aufdemkampe G, Verhaar HJ, Aleman A, Vanhees L. Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment. Cochrane Database Syst Rev. 2008;(3):CD005381. [PubMed]
475. Sofi F, Valecchi D, Bacci D, Abbate R, Gensini GF, Casini A, Macchi C. Physical activity and risk of cognitive decline: a meta-analysis of prospective studies. J Intern Med. 2011;269:107–117. [PubMed]
476. Malouf R, Grimley Evans J. Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev. 2008;(4):CD004514. [PubMed]
477. Durga J, van Boxtel MP, Schouten EG, Kok FJ, Jolles J, Katan MB, Verhoef P. Effect of 3-year folic acid supplementation on cognitive function in older adults in the FACIT trial: a randomised, double blind, controlled trial. Lancet. 2007;369:208–216. [PubMed]
478. McMahon JA, Green TJ, Skeaff CM, Knight RG, Mann JI, Williams SM. A controlled trial of homocysteine lowering and cognitive performance. N Engl J Med. 2006;354:2764–2772. [PubMed]
479. Rocca WA, Hofman A, Brayne C, Breteler MM, Clarke M, Copeland JR, Dartigues JF, Engedal K, Hagnell O, Heeren TJ, Jonker C, Lindesay J, Lobo A, Mann AH, Mölsä PK, Morgan K, O'Connor DW, da Silva Droux A, Sulkava R, Kay DWK, Amaducci L. The prevalence of vascular dementia in Europe: facts and fragments from 1980–1990 studies. Ann Neurol. 1991;30:817–824. [PubMed]
480. White L, Petrovitch H, Ross GW, Masaki KH, Abbott RD, Teng EL, Rodriguez BL, Blanchette PL, Havlik RJ, Wergowske G, Chiu D, Foley DJ, Murdaugh C, Curb JD. Prevalence of dementia in older Japanese-American men in Hawaii: the Honolulu-Asia Aging Study. JAMA. 1996;276:955–960. [PubMed]
481. Bachman DL, Wolf PA, Linn RT, Knoefel JE, Cobb JL, Belanger AJ, White LR, D'Agostino RB. Incidence of dementia and probable Alzheimer's disease in a general population: the Framingham Study. Neurology. 1993;43:515–519. [PubMed]
482. Wentzel C, Rockwood K, MacKnight C, Hachinski V, Hogan DB, Feldman H, Østbye T, Wolfson C, Gauthier S, Verreault R, McDowell I. Progression of impairment in patients with vascular cognitive impairment without dementia. Neurology. 2001;57:714–716. [PubMed]
483. Hachinski V. Shifts in thinking about dementia. JAMA. 2008;300:2172–2173. [PubMed]
484. Gorelick PB. Risk factors for vascular dementia and Alzheimer disease. Stroke. 2004;35:2620–2622. [PubMed]
485. Gorelick PB. William M. Feinberg Lecture: cognitive vitality and the role of stroke and cardiovascular disease risk factors. Stroke. 2005;36:875–879. [PubMed]
486. Casserly I, Topol E. Convergence of atherosclerosis and Alzheimer's disease: inflammation, cholesterol, and misfolded proteins. Lancet. 2004;363:1139–1146. [PubMed]
487. Deleted in proof
488. Ott A, Slooter AJ, Hofman A, van Harskamp F, Witteman JC, Van Broeckhoven C, van Duijn CM, Breteler MM. Smoking and risk of dementia and Alzheimer's disease in a population-based cohort study: the Rotterdam Study. Lancet. 1998;351:1840–1843. [PubMed]
489. Ott A, Stolk RP, van Harskamp F, Pols HA, Hofman A, Breteler MM. Diabetes mellitus and the risk of dementia: the Rotterdam Study. Neurology. 1999;53:1937–1942. [PubMed]
490. Pohjasvaara T, Mäntylä R, Ylikoski R, Kaste M, Erkinjuntti T. Comparison of different clinical criteria (DSM-III, ADDTC, ICD-10, NINDS-AIREN, DSM-IV) for the diagnosis of vascular dementia: National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l'Enseignement en Neurosciences. Stroke. 2000;31:2952–2957. [PubMed]
491. Roth M. The natural history of mental disorder in old age. J Ment Sci. 1955;101:281–301. [PubMed]
492. Vagnucci AH, Jr, Li WW. Alzheimer's disease and angiogenesis. Lancet. 2003;361:605–608. [PubMed]
493. Iadecola C, Gorelick PB. Converging pathogenic mechanisms in vascular and neurodegenerative dementia. Stroke. 2003;34:335–337. [PubMed]
494. Kivipelto M, Ngandu T, Fratiglioni L, Viitanen M, Kåreholt I, Winblad B, Helkala EL, Tuomilehto J, Soininen H, Nissinen A. Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease. Arch Neurol. 2005;62:1556–1560. [PubMed]
495. Drachman DA. Aging of the brain, entropy, and Alzheimer disease. Neurology. 2006;67:1340–1352. [PubMed]
496. Gorelick PB. Role of inflammation in cognitive impairment: results of observational epidemiological studies and clinical trials. Ann N Y Acad Sci. 2010;1207:155–162. [PubMed]
497. Deleted in proof
498. Hachinski V. World Stroke Day 2008: “little strokes, big trouble.” Stroke. 2008;39:2407–2420. [PubMed]
499. Hachinski V. The 2005 Thomas Willis Lecture: stroke and vascular cognitive impairment: a transdisciplinary, translational and transactional approach. Stroke. 2007;38:1396. [PubMed]
500. Stebbins GT, Nyenhuis DL, Wang C, Cox JL, Freels S, Bangen K, DeToledo-Morrell L, Sripathirathan K, Moseley M, Turner DA, Gabrieli JD, Gorelick PB. Gray matter atrophy in patients with ischemic stroke with cognitive impairment. Stroke. 2008;39:785–793. [PubMed]
501. Furie KL, Kasner SE, Adams RJ, Albers GW, Bush RL, Fagan SC, Halperin JL, Johnston SC, Katzan I, Kernan WN, Mitchell PH, Ovbiagele B, Palesch YY, Sacco RL, Schwamm LH, Wassertheil-Smoller S, Turan TN, Wentworth D., American Heart Association Stroke Council. Council on Cardiovascular Nursing. Council on Clinical Cardiology. Interdisciplinary Council on Quality of Care and Outcomes Research Guidelines for the prevention of stroke in patients with stroke or transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2011;42:227–276. [PubMed]
502. Goldstein LB, Bushnell CD, Adams RJ, Appel LJ, Braun LT, Chaturvedi S, Creager MA, Culebras A, Eckel RH, Hart RG, Hinchey JA, Howard VJ, Jauch EC, Levine SR, Meschia JF, Moore WS, Nixon JV, Pearson TA., American Heart Association Stroke Council. Council on Cardiovascular Nursing. Council on Epidemiology and Prevention. Council for High Blood Pressure Research. Council on Peripheral Vascular Disease. Interdisciplinary Council on Quality of Care and Outcomes Research Guidelines for the primary prevention of stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association [published correction appears in Stroke. 2011;42:e26]. Stroke. 2011;42:517–584. [PubMed]