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1.  Evaluation of risk equations for prediction of short-term coronary heart disease events in patients with long-standing type 2 diabetes: the Translating Research into Action for Diabetes (TRIAD) study 
To evaluate the U.K. Prospective Diabetes Study (UKPDS) and Framingham risk equations for predicting short-term risk of coronary heart disease (CHD) events among adults with long-standing type 2 diabetes, including those with and without preexisting CHD.
Prospective cohort of U.S. managed care enrollees aged ≥ 18 years and mean diabetes duration of more than 10 years, participating in the Translating Research into Action for Diabetes (TRIAD) study, was followed for the first occurrence of CHD events from 2000 to 2003. The UKPDS and Framingham risk equations were evaluated for discriminating power and calibration.
A total of 8303 TRIAD participants, were identified to evaluate the UKPDS (n = 5914, 120 events), Framingham-initial (n = 5914, 218 events) and Framingham-secondary (n = 2389, 374 events) risk equations, according to their prior CHD history. All of these equations exhibited low discriminating power with Harrell’s c-index <0.65. All except the Framingham-initial equation for women and the Framingham-secondary equation for men had low levels of calibration. After adjsusting for the average values of predictors and event rates in the TRIAD population, the calibration of these equations greatly improved.
The UKPDS and Framingham risk equations may be inappropriate for predicting the short-term risk of CHD events in patients with long-standing type 2 diabetes, partly due to changes in medications used by patients with diabetes and other improvements in clinical care since the Frmaingham and UKPDS studies were conducted. Refinement of these equations to reflect contemporary CHD profiles, diagnostics and therapies are needed to provide reliable risk estimates to inform effective treatment.
PMCID: PMC3433369  PMID: 22776317
2.  Use of Antipsychotic Medications in Pediatric Populations: What Do the Data Say? 
Current psychiatry reports  2013;15(12):426.
Recent reports of antipsychotic medication use in pediatric populations describe large increases in rates of use. Much interest in the increasing use has focused on potentially inappropriate prescribing for non FDA-approved uses and use amongst youth with no mental health diagnosis. Different studies of antipsychotic use have used different time periods, geographic and insurance populations of youth, and aggregations of diagnoses. We review recent estimates of use and comment on the similarities and dissimilarities in rates of use. We also report new data obtained on 11 Health Maintenance Organizations that are members of the Mental Health Research Network in order to update and extend the knowledge base on use by diagnostic indication. Results indicate that most use in pediatric populations is for disruptive behaviors and not psychotic disorders. Differences in estimates are likely a function of differences in methodology; however, there is remarkable consistency in estimates of use by diagnosis.
PMCID: PMC4167011  PMID: 24258527
Antipsychotics; Children; Adolescents; Medicaid; Mental Health Research Network; Off-label; MarketScan; IMS Health; NAMCS; NDTI; NCS-A
3.  Predictors of Mortality Over 8 Years in Type 2 Diabetic Patients 
Diabetes Care  2012;35(6):1301-1309.
To examine demographic, socioeconomic, and biological risk factors for all-cause, cardiovascular, and noncardiovascular mortality in patients with type 2 diabetes over 8 years and to construct mortality prediction equations.
Beginning in 2000, survey and medical record information was obtained from 8,334 participants in Translating Research Into Action for Diabetes (TRIAD), a multicenter prospective observational study of diabetes care in managed care. The National Death Index was searched annually to obtain data on deaths over an 8-year follow-up period (2000–2007). Predictors examined included age, sex, race, education, income, smoking, age at diagnosis of diabetes, duration and treatment of diabetes, BMI, complications, comorbidities, and medication use.
There were 1,616 (19%) deaths over the 8-year period. In the most parsimonious equation, the predictors of all-cause mortality included older age, male sex, white race, lower income, smoking, insulin treatment, nephropathy, history of dyslipidemia, higher LDL cholesterol, angina/myocardial infarction/other coronary disease/coronary angioplasty/bypass, congestive heart failure, aspirin, β-blocker, and diuretic use, and higher Charlson Index.
Risk of death can be predicted in people with type 2 diabetes using simple demographic, socioeconomic, and biological risk factors with fair reliability. Such prediction equations are essential for computer simulation models of diabetes progression and may, with further validation, be useful for patient management.
PMCID: PMC3357242  PMID: 22432119
5.  Type 1 and Type 2 Diabetes in Asian and Pacific Islander U.S. Youth 
Diabetes Care  2009;32(Suppl 2):S133-S140.
OBJECTIVE—Given limited reports on diabetes among U.S. Asian and Pacific Islander youth, we describe the clinical characteristics, incidence, and prevalence of diabetes among Asian, Pacific Islander, and mixed Asian–Pacific Islander youth.
RESEARCH DESIGN AND METHODS—Data were collected from 245 Asian, Pacific Islander, and Asian–Pacific Islander participants in the SEARCH for Diabetes in Youth Study, a population-based study of diabetes in youth (aged <20 years). Additionally, we estimated the incidence and prevalence of type 1 and type 2 diabetes for Asian, Pacific Islander, and Asian–Pacific Islander youth combined.
RESULTS—Most participants with type 2 diabetes were obese (range Asian 71% to Pacific Islander 100%) with mean BMI >33 kg/m2. In those with type 1 diabetes, Pacific Islanders were more likely to be obese, with a mean BMI of 26 vs. 20 kg/m2 for Asian and Asian–Pacific Islander youth (P < 0.0001). The incidence of type 1 diabetes for youth aged 0–9 years was 6.4 per 100,000 person-years and 7.4 per 100,000 person-years for youth aged 10–19 years. The incidence of type 2 diabetes was 12.1 per 100,000 person-years for youth aged 10–19 years.
CONCLUSIONS—While Asian and Asian–Pacific Islanders with type 1 and type 2 diabetes had lower mean BMIs than Pacific Islanders, all Asian, Pacific Islander, and Asian–Pacific Islanders with type 2 diabetes had mean BMIs above adult ethnicity-specific definitions of obesity. While the majority of Asian, Pacific Islander, and Asian–Pacific Islander youth had type 1 diabetes, older Asian, Pacific Islander, and Asian–Pacific Islander youth (aged 10–19 years) have an incidence of type 2 diabetes almost double that of type 1 diabetes. Public health efforts to prevent type 2 diabetes and obesity in Asian, Pacific Islander, and Asian–Pacific Islander adolescents are needed.
PMCID: PMC2647693  PMID: 19246578

Results 1-5 (5)