We sought to determine the impact of naltrexone on hepatic enzymes and HIV biomarkers in HIV-infected patients.
We used data from the Veterans Aging Cohort Study-Virtual Cohort, an electronic database of administrative, pharmacy and laboratory data. We restricted our sample to HIV-infected patients who received an initial oral naltrexone prescription, of at least seven days duration. We examined aspartate aminotransferase (AST) and alanine aminotransferase (ALT) and HIV biomarker (CD4 and HIV RNA) values for the 365 days prior to, during, and for the 365 days post-naltrexone prescription. We also examined cases of liver enzyme elevation (LEE; defined as greater than 5 times baseline ALT or AST or greater than 3.5 times baseline if baseline ALT or AST was greater than or equal to 40 IU/L).
Of 114 HIV-infected individuals, 97% were male, 65% white, 57% Hepatitis C co-infected, median age was 49 years; 89% of the sample had a history of alcohol dependence and 32% had opioid dependence. Median duration of naltrexone prescription was 49 (interquartile range 30–83) days, representing 9,525 person-days of naltrexone use. Mean ALT and AST levels remained below the upper limit of normal. Two cases of LEE occurred. Mean CD4 count remained stable and mean HIV RNA decreased after naltrexone prescription.
In HIV-infected patients, oral naltrexone is rarely associated with clinically significant ALT or AST changes and does not have a negative impact on biologic parameters. Therefore, HIV-infected patients with alcohol or opioid dependence can be treated with naltrexone.
We assessed smoking data from the Veterans Health Administration (VHA) electronic medical record (EMR) Health Factors dataset.
To assess the validity of the EMR Health Factors smoking data, we first created an algorithm to convert text entries into a 3-category smoking variable (never, former, and current). We compared this EMR smoking variable to 2 different sources of patient self-reported smoking survey data: (a) 6,816 HIV-infected and -uninfected participants in the 8-site Veterans Aging Cohort Study (VACS-8) and (b) a subset of 13,689 participants from the national VACS Virtual Cohort (VACS-VC), who also completed the 1999 Large Health Study (LHS) survey. Sensitivity, specificity, and kappa statistics were used to evaluate agreement of EMR Health Factors smoking data with self-report smoking data.
For the EMR Health Factors and VACS-8 comparison of current, former, and never smoking categories, the kappa statistic was .66. For EMR Health Factors and VACS-VC/LHS comparison of smoking, the kappa statistic was .61.
Based on kappa statistics, agreement between the EMR Health Factors and survey sources is substantial. Identification of current smokers nationally within the VHA can be used in future studies to track smoking status over time, to evaluate smoking interventions, and to adjust for smoking status in research. Our methodology may provide insights for other organizations seeking to use EMR data for accurate determination of smoking status.
BACKGROUND AND OBJECTIVE
Food insecurity negatively impacts HIV disease outcomes in international settings. No large scale U.S. studies have investigated the association between food insecurity and severity of HIV disease or the mechanism of this possible association. The objective of this study was to examine the impact of food insecurity on HIV disease outcomes in a large cohort of HIV-infected patients receiving antiretroviral medications.
This is a cross-sectional study.
PARTICIPANTS AND SETTING
Participants were HIV-infected patients enrolled in the Veterans Aging Cohort Study between 2002–2008 who were receiving antiretroviral medications.
Participants reporting “concern about having enough food for you or your family in the past 30 days” were defined as food insecure. Using multivariable logistic regression, we explored the association between food insecurity and both low CD4 counts (<200 cells/μL) and unsuppressed HIV-1 RNA (>500 copies/mL). We then performed mediation analysis to examine whether antiretroviral adherence or body mass index mediates the observed associations.
Among 2353 HIV-infected participants receiving antiretroviral medications, 24% reported food insecurity. In adjusted analyses, food insecure participants were more likely to have an unsuppressed HIV-1 RNA (AOR 1.37, 95% CI 1.09, 1.73) compared to food secure participants. Mediation analysis revealed that neither antiretroviral medication adherence nor body mass index contributes to the association between food insecurity and unsuppressed HIV-1 RNA. Food insecurity was not independently associated with low CD4 counts.
Among HIV-infected participants receiving antiretroviral medications, food insecurity is associated with unsuppressed viral load and may render treatment less effective. Longitudinal studies are needed to test the potential causal association between food insecurity, lack of virologic suppression, and additional HIV outcomes.
food insecurity; HIV; patients; antiretrovirals
Whether hepatitis C (HCV) confers additional coronary heart disease (CHD) risk among Human Immunodeficiency Virus (HIV) infected individuals is unclear. Without appropriate adjustment for antiretroviral therapy, CD4 count, and HIV-1 RNA, and substantially different mortality rates among those with and without HIV and HCV infection, the association between HIV, HCV, and CHD may be obscured.
Methods and Results
We analyzed data on 8579 participants (28% HIV+, 9% HIV+HCV+) from the Veterans Aging Cohort Study Virtual Cohort who participated in the 1999 Large Health Study of Veteran Enrollees. We analyzed data collected on HIV and HCV status, risk factors for and the incidence of CHD, and mortality from 1/2000–7/2007. We compared models to assess CHD risk when death was treated as a censoring event and as a competing risk. During the median 7.3 years of follow-up, there were 194 CHD events and 1186 deaths. Compared with HIV−HCV− Veterans, HIV+ HCV+ Veterans had a significantly higher risk of CHD regardless of whether death was adjusted for as a censoring event (adjusted hazard ratio (HR)=2.03, 95% CI=1.28–3.21) or a competing risk (adjusted HR=2.45, 95% CI=1.83–3.27 respectively). Compared with HIV+HCV− Veterans, HIV+ HCV+ Veterans also had a significantly higher adjusted risk of CHD regardless of whether death was treated as a censored event (adjusted HR=1.93, 95% CI=1.02–3.62) or a competing risk (adjusted HR =1.46, 95% CI=1.03–2.07).
HIV+HCV+ Veterans have an increased risk of CHD compared to HIV+HCV−, and HIV−HCV− Veterans.
viruses; coronary disease; mortality; multi morbidity
Treatment completion rates for hepatitis C virus (HCV) infection in clinical practice settings are unknown.
We assembled a national cohort of HCV-infected veterans-in-care from 1998 to 2003, using the VA National Patient Care Database for demographical/clinical information, Pharmacy Benefits Management database for pharmacy records and the Decision Support Systems database for laboratory data. We used logistic regression to determine the factors predicting treatment non-completion for HCV.
We identified 134 934 HCV-infected veterans of whom 16 043 [11.9%; 95% confidence interval (CI) 11.7–12.1] were prescribed treatment for HCV. Among the 10 641 veterans with > 1 year of follow-up, 2396 (22.5%; 95% CI 21.7–23.3) completed a 48-week course. Non-completers were more likely to have pre-treatment anaemia, coronary artery disease, depression, substance abuse, used standard interferon, higher comorbidity count, and been treated at a low-volume treatment site (defined as sites initiating HCV treatment for < 200 individuals). In multivariable analyses, treatment completion was positively associated with pegylated interferon use [odds ratio (OR) 1.59, 95% CI 1.40–1.80] and site treatment volume (OR 1.87, 95% CI 1.56–2.24 for sites initiating treatment for > 200 individuals) and negatively associated with pre-treatment anaemia (OR 0.68, 95% CI 0.58–0.80 for haemoglobin 10–14 g/dl) and depression (OR 0.78, 95% CI 0.69–0.89). Human immunodeficiency virus coinfection and minority race were not associated with failing to complete treatment.
Among veterans-in-care with known HCV, 11.9% initiate therapy of whom 22.5% (one in 56 with known HCV infection) complete a 48-week course of treatment. Higher completion rates among higher volume treatment sites suggest that some factors associated with non-completion (pre-treatment depression and anaemia), may be modifiable with experience.
anaemia; depression; hepatitis C; HIV infection; pegylated interferon; practice variation; treatment completion
The Timeline Followback (TLFB) interview has become state-of-the-science for the collection of retrospective self-reports of daily alcohol consumption. Such data are especially useful for addressing questions of the co-occurrence of quantity of alcohol consumption and other behaviors, such as HIV-related risky sex, on the event level. The purpose of this study was to determine if the TLFB could be used effectively by self-administration compared with the more costly telephone interview in a large, multisite observational study of HIV-positive and HIV-negative adults.
An experimental design was used to compare self-administered and telephone-administered TLFB modes in a subsample (N = 70) of the Veterans Aging Cohort Study, an ongoing longitudinal study of more than 6,000 HIV-positive and HIV-negative men and women presenting for treatment at eight Department of Veterans Affairs Infectious Disease or General Medicine clinics. Participants were randomly assigned to one of four experimental groups defined by mode and sequence of a TLFB administration on two occasions occurring within 1 week: telephone-telephone, telephone-self, self-telephone, and self-self.
Analyses showed no differences in median total number of drinks reported between modes of TLFB administration or sequence of mode of administration. The same findings held for classification of participants as “hazardous” drinkers. Additional analyses showed good-to-excellent test-retest reliability of self-reports for both modes of TLFB administration.
The data derived from this study provide strong experimental evidence for the utility of the self-administered, 30-day TLFB in collecting daily alcohol consumption in large observational studies of HIV-positive and HIV-negative individuals.
Screening for hazardous drinking may fail to detect a substantial proportion of individuals harmed by alcohol. We investigated whether considering an individual’s usual drinking quantity or threshold for alcohol-induced cognitive impairment improves the prediction of nonadherence with prescribed medications.
Cross-sectional analysis of participants in a large, multi-site cohort study. We used the timeline followback to reconstruct 30-day retrospective drinking histories and the timeline followback modified for adherence to reconstruct 30-day medication adherence histories among 3,152 individuals in the Veterans Aging Cohort Study, 1,529 HIV infected and 1,623 uninfected controls. We categorized daily alcohol consumption by using quantity alone, quantity after adjustment for the individual’s mean daily alcohol consumption, and self-reported level of impairment corresponding to each quantity. A standard drink was defined as 14 g of ethanol. Nonadherence was defined as the proportion of days with ≥1 medication doses missed or taken ≥2 hours late, and clinically significant nonadherence was defined as ≥5% absolute increase in the proportion of days with nonadherence.
The mean adjusted- and impairment-based methods showed greater discrimination of nonadherence risk compared to the measure based on quantity alone (quantity-based categorization, 3.2-fold increase; quantity adjusted for mean daily consumption, 4.6-fold increase, impairment-based categorization, 3.6-fold increase). The individualized methods also detected greater numbers of days with clinically significant nonadherence associated with alcohol. Alcohol was associated with clinically significant nonadherence at a lower threshold for HIV infected versus uninfected patients (2 standard drinks vs. 4 standard drinks) using quantity-based categorization, but this difference was no longer apparent when individualized methods were used.
Tailoring screening questions to an individual’s usual level of alcohol consumption or threshold for impairment improves the ability to predict alcohol-associated medication nonadherence.
Human Immunodeficiency Virus; Alcohol; Nonadherence
The purpose of this study was to validate the use of Leigh’s (1990) alcohol sex expectancies scale among HIV-infected individuals presenting for treatment as a way to facilitate research on sexual risk reduction among individuals in that population. The participants were 944 men who presented for treatment at infectious disease or general medicine clinics across 8 different VA Medical Center sites. A total of 534 of these men were HIV-positive and 410 were HIV-negative. The total sample was randomly divided in half within each HIV group to form exploratory (Sample 1) and confirmatory (Sample 2) subsamples. A principal components factor analysis with oblique rotation of the original 13-item Leigh scale within each HIV group in Sample 1 revealed a 2-factor (7 and 4 items, respectively) solution that was consistent across both HIV groups. These factors were named “More Open to Sexual Pleasure” (Factor 1) and “Reduced Inhibitions about Sex (Factor 2).” A confirmatory factor analysis of the 11-item, 2-factor solution on the full Sample 2 showed a modest fit to the data, excellent internal consistency reliability of both factors, a high correlation between the factors, and strong evidence for construct validity. These results were interpreted as supporting the use of the 11-item, 2-factor version of Leigh’s scale in studies of clinical samples of HIV-positive adults, and directions for research on further scale refinement are discussed.
Leigh (1990) scale; Alcohol sex expectancies; HIV-positive; Validation
Assessing accuracy and completeness of data is an important component of conducting research. VA Healthcare System benefits from a highly developed electronic medical information system. The Immunology Case Registry was designed to monitor costs and quality of HIV care. The Decision Support System was developed to monitor utilization and costs of veterans in care. Because these systems extract data from the same source using independent methods, they provide an opportunity to compare the accuracy and completeness of each.
To compare overlapping laboratory data from the Veterans Affairs Health Information System between 2 data repositories.
For hemoglobin, CD4+ lymphocyte counts (CD4), HIV RNA viral load, aspartate aminotransferase, alanine aminotransferase, glycosylated hemoglobin, creatinine, and white blood count, we calculated the percent of individuals with a value from each source. For results in both repositories, we calculated Pearson’s correlation coefficients.
A total of 22,647 HIV + veterans in the Virtual Cohort with a visit in fiscal year 2002.
For 6 out of 9 tests, 68% to 72% of the observations overlapped. For CD4, viral load, and glycosylated hemoglobin less than 31% of observations overlapped. Overlapping results were nearly perfectly correlated except for CD4.
Six of the laboratory tests demonstrated remarkably similar amounts of overlap, though Immunology Case Registry and Decision Support System both have missing data. Findings indicate that validation of laboratory data should be conducted before its use in quality and efficiency projects. When 2 databases are not available for comparison, other methods of validation should be implemented.
laboratory; DSS; ICR; VA
Health care providers may be concerned that prescribing erectile dysfunction drugs (EDD) will contribute to risky sexual behavior.
To identify characteristics of men who received EDD prescriptions, determine whether EDD receipt is associated with risky sexual behavior and sexually transmitted diseases (STDs), and determine whether these relationships vary for certain sub-groups.
Two thousand seven hundred and eighty-seven sexually-active, HIV-infected and HIV-uninfected men recruited from eight Veterans Health Affairs outpatient clinics. Data were obtained from participant surveys, electronic medical records, and administrative pharmacy data.
EDD receipt was defined as two or more prescriptions for an EDD, risky sex as having unprotected sex with a partner of serodiscordant or unknown HIV status, and STDs, according to self-report.
Overall, 28% of men received EDD in the previous year. Eleven percent of men reported unprotected sex with a serodiscordant/unknown partner in the past year (HIV-infected 15%, HIV-uninfected 6%, P < 0.001). Compared to men who did not receive EDD, men who received EDD were equally likely to report risky sexual behavior (11% vs. 10%, p = 0.9) and STDs (7% vs 7%, p = 0.7). In multivariate analyses, EDD receipt was not significantly associated with risky sexual behavior or STDs in the entire sample or in subgroups of substance users or men who had sex with men.
EDD receipt was common but not associated with risky sexual behavior or STDs in this sample of HIV-infected and uninfected men. However, risky sexual behaviors persist in a minority of HIV-infected men, indicating ongoing need for prevention interventions.
HIV infection; risky sexual behavior; STDs; men; phosphodiesterase inhibitors
To determine whether alcohol consumption is associated with cardiovascular disease (CVD) among HIV infected veterans
Using established thresholds for alcohol consumption, we analyzed cross-sectional data from 4743 men 51% HIV infected) from the Veterans Aging Cohort Study, a prospective cohort of HIV infected and demographically similar uninfected veterans. Using logistic regression, we estimated the odds ratio (OR) for the association between alcohol consumption and prevalent CVD.
Among HIV infected and uninfected men respectively, hazardous drinking (33.2% vs. 30.9%,), alcohol abuse and dependence (20.9% vs. 26.2%), and CVD (14.6% vs. 19.8%) were common. Among HIV infected men, hazardous drinking (OR=1.43, 95% confidence interval (CI)=1.05-1.94) and alcohol abuse and dependence (OR=1.55, 95% CI=1.07-2.23) were associated with a higher prevalence of CVD compared with infrequent and moderate drinking. Among HIV uninfected men, past drinkers had a higher prevalence of CVD (OR=1.30, 95% CI=1.01-1.67). For HIV infected and uninfected men, traditional risk factors and kidney disease were associated with CVD.
Among HIV infected men, hazardous drinking and alcohol abuse and dependence were associated with a higher prevalence of CVD compared with infrequent and moderate drinking even after adjusting for traditional CVD risk factors, antiretroviral therapy, and CD 4 count.
alcohol consumption; alcohol abuse; alcohol dependence; HIV infection; cardiovascular disease; Veterans
Studies indicate that peroxisome proliferator-activated receptor-β/δ (PPARb/δ) can either attenuate or potentiate colon cancer. One hypothesis suggests that PPARβ/δ is upregulated by the adenomatous polyposis coli (APC)/β-CATENIN pathway and a related hypothesis suggests that PPARβ/δ is downregulated by nonsteroidal anti-inflammatory drugs (NSAIDs). The present study examined these possibilities using in vivo and in vitro models. While APC/β-CATENIN-dependent expression of CYCLIN D1 was observed in vivo and in vitro, expression of PPARβ/δ was not different in colon or intestinal polyps from wild-type or Apcmin heterozygous mice or in human colon cancer cell lines with mutations in APC and/or β-CATENIN. No difference in the level of PPARβ/δ was found in colon from wild-type or Apcmin heterozygous mice following treatment with NO-donating aspirin (NO-ASA). NSAIDs inhibited cell growth in RKO (wild-type APC) and DLD1 (mutant APC) human colon cancer cell lines but expression of PPARβ/δ was not downregulated in these cell lines in response to a broad concentration range of celecoxib, indomethacin, NS-398, or nimesulide. However, indomethacin caused an increase in PPARβ/δ mRNA and protein that was accompanied with increased expression of a known PPARβ/δ target gene. Interestingly, expression of PPARα was also increased in the human colon cancer cell lines by several NSAIDs at the highest concentration examined. Results from these studies provide additional evidence indicating that PPARβ/δ is not upregulated by the APC/β-CATENIN pathway. Further, these studies suggest that increased PPARβ/δ and/or PPARα by NSAIDs in human colon cancer cell lines could contribute to the mechanisms underlying the chemopreventive effects of NSAIDs.
colon cancer; PPARβ/δ; gene expression; NSAIDs
The incidence of non-AIDS-defining malignancies (non-ADM) is reported as unchanged or increasing in the HAART era. Whether incidence of non-ADM is significantly higher in HIV-infected than in HIV-uninfected patients remains unclear.
Incidence rates of malignancies were calculated in a cohort of veterans in care for HIV-infected and age, race, and gender-matched uninfected patients from 1997 to 2004. For HIV-infected patients CD4 counts closest to first observation date were compared between those with and without cancer.
33,420 HIV-infected and 66,840 HIV-uninfected patients were followed for a median of 5.1 and 6.4 years. The Incidence rate ratio [IRR] of HIV-infected to HIV-uninfected was 1.6 (1260 vs. 841/100,000 person-years; 95% CI: 1.5–1.7). IRR for individual cancers was highest for anal cancer (14.9; CI: 10.1–22.1). Among HIV-infected patients, median CD4 counts were lower for those with non-ADM (249 vs. 270, p=0.02), anal cancer (154 vs. 270; p<0.001), and Hodgkin’s (217 vs. 270; p=0.03). Prostate cancer was associated with a higher CD4 count (310 vs. 270; p<0.001).
In the HAART era, the incidence of non-ADMs is higher among HIV-infected than HIV-uninfected patients, adjusting for age, race, and gender. Some non-ADMs do not appear to be associated with significantly lower CD4 counts.
AIDS-defining malignancies; Non-AIDS-defining malignancies; Incidence; HAART
The influence of HIV infection on the risk of diabetes is unclear. We determined the association and predictors of prevalent DM in HIV infected and uninfected veterans.
We determined baseline prevalence and risk factors for diabetes among HIV infected and uninfected veterans in the Veterans Aging Cohort Study. Logistic regression was used to determine the odds of diabetes in HIV infected and uninfected persons.
We studied 3,327 HIV-infected and 3,240 HIV-uninfected subjects. HIV infected subjects were younger, more likely to be black race, male, have HCV coinfection and a lower body mass index (BMI). HIV infected subjects had a lower prevalence of diabetes at baseline (14.9% vs. 21.4%, P<0.0001). After adjustment for known risk factors, HIV infected individuals had a lower risk of diabetes (OR 0.84, 95% CI 0.72-0.97). Increasing age, male gender, minority race, and BMI were associated with an increased risk. The odds ratio for diabetes associated with increasing age, minority race and BMI were greater among HIV infected veterans. HCV coinfection and nucleoside and non-nucleoside reverse transcriptase inhibitor therapy were associated with a higher risk of diabetes in HIV infected veterans.
While HIV infection itself is not associated with increased risk of diabetes, increasing age, HCV coinfection and BMI have a more profound effect upon the risk of diabetes among HIV infected persons. Further, long term ARV treatment also increases risk. Future studies will need to determine whether incidence of DM differs by HIV status.
HIV; diabetes; HCV; risk; antiretroviral therapy
Cross-sectional and longitudinal analyses were carried out to assess the relationship between dementia patient suffering, caregiver depression, and antidepressant medication use in 1222 dementia patients and their caregivers. We assessed the prevalence of 2 types of patient suffering, emotional and existential distress, and examined their independent associations with caregiver depression and antidepressant medication use when controlling for sociodemographic characteristics of caregivers and patients, cognitive and physical disability of the patient, the frequency of patient memory problems and disruptive behaviors, and the amount of time spent caring for the patient. Multiple linear regression models showed that both aspects of perceived patient suffering independently contribute to caregiver depression (emotional distress: β = 1.24; P < 0.001; existential distress: β = 0.66; P < 0.01) whereas only existential suffering contributes to antidepressant medication use: odds ratio = 1.25 95% confidence interval, 1.10–1.42; P < 0.01. In longitudinal analyses, increases in both types of suffering were associated with increases in caregiver depression (emotional distress: β = 1.02; P < 0.01; existential distress: β = 0.64; P < 0.01). This is the first study to show in a large sample that perceived patient suffering independently contributes to family caregiver depression and medication use. Medical treatment of patients that maintain or improve memory but do not address suffering may have little impact on the caregiver. Alzheimer disease patient suffering should be systematically assessed and treated by clinicians.
suffering; dementia; caregiving; depression; anti-depressant use
The impact of smoking on outcomes among those with HIV infection has not been determined in the era of highly active antiretroviral therapy (HAART).
Determine the impact of smoking on morbidity and mortality in HIV-positive patients post-HAART.
Prospective observational study.
Eight hundred and sixty-seven HIV-positive veterans enrolled in the Veterans Aging Cohort 3 Site Study.
Clinical data were collected through patient questionnaire, International Classification of Diseases—9th edition codes, and standardized chart extraction, and laboratory and mortality data through the national VA database. Quality of life was assessed with the physical component summary (PCS) of the Short-Form 12.
Current smokers had increased respiratory symptoms, chronic obstructive pulmonary disease (COPD), and bacterial pneumonia. In analyses adjusted for age, race/ethnicity, CD4 cell count, HIV RNA level, hemoglobin, illegal drug and alcohol use, quality of life was substantially decreased (β=−3.3, 95% confidence interval [CI] −5.3 to −1.4) and mortality was significantly increased (hazard ratio 1.99, 95% CI 1.03 to 3.86) in current smokers compared with never smokers.
HIV-positive patients who currently smoke have increased mortality and decreased quality of life, as well as increased respiratory symptoms, COPD, and bacterial pneumonia. These findings suggest that smoking cessation should be emphasized for HIV-infected patients.
HIV; AIDS; smoking; mortality; health-related quality of life
To compare the clinical importance (association with illness severity and survival) of depressive and HIV symptoms among veterans with HIV infection.
Cross-sectional study; survival analysis.
Infectious Disease Clinics at 3 VA Medical Centers.
HIV-infected patients (N = 881) and their health care providers from June 1999 through July 2000.
MEASUREMENTS AND MAIN RESULTS
Depressive symptoms were assessed using the 10-item Centers for Epidemiologic Studies Depression Scale (CES-D). Patient baseline survey included an HIV Symptom Index measuring the frequency and bother of 20 common symptoms. Providers were surveyed on patients' illness severity, and survival data were obtained from VA death records. Of 881 patients, 46% had significant depressive symptoms (CES-D ≥10). Increasing depression symptom severity was associated with increasing HIV symptom frequency (P < .001) and bother (P < .001). Multiple regression results revealed that having moderate or severe depressive symptoms was not associated with provider-reported illness severity or survival. However, HIV symptoms were significantly associated with provider-reported illness severity (P < .01) and survival (P = .05), after adjusting for moderate and severe depressive symptoms, CD4 cell count/mm3, viral load, age, race, and antiretroviral use.
Depression, while common in this sample, was not associated with illness severity or mortality after adjusting for HIV symptoms. HIV symptoms are associated with severity of illness and survival regardless of patients' severity of depressive symptoms. This suggests that equal medical consideration should be given to HIV symptoms presented by HIV-infected patients regardless of their depression status, rather than automatically attributing medical complaints to depression.
HIV/AIDS; symptoms; depression