Melissa Skanderson

HIV Infection and the Risk of Acute Myocardial Infarction

IMPORTANCE Whether people infected with human immunodeficiency virus (HIV) are at an increased risk of acute myocardial infarction (AMI) compared with uninfected people is not clear. Without demographically and behaviorally similar uninfected comparators and without uniformly measured clinical data on risk factors and fatal and nonfatal AMI events, any potential association between HIV status and AMI may be confounded. OBJECTIVE To investigate whether HIV is associated with an increased risk of AMI after adjustment for all standard Framingham risk factors among a large cohort of HIV-positive and demographically and behaviorally similar (ie, similar prevalence of smoking, alcohol, and cocaine use) uninfected veterans in care. DESIGN AND SETTING Participants in the Veterans Aging Cohort Study Virtual Cohort from April 1, 2003, through December 31, 2009. PARTICIPANTS After eliminating those with baseline cardiovascular disease, we analyzed data on HIV status, age, sex, race/ethnicity, hypertension, diabetes mellitus, dyslipidemia, smoking, hepatitis C infection, body mass index, renal disease, anemia, substance use, CD4 cell count, HIV-1 RNA, antiretroviral therapy, and incidence of AMI. MAIN OUTCOME MEASURE Acute myocardial infarction. RESULTS We analyzed data on 82 459 participants. During a median follow-up of 5.9 years, there were 871 AMI events. Across 3 decades of age, the mean (95% CI) AMI events per 1000 person-years was consistently and significantly higher for HIV-positive compared with uninfected veterans: for those aged 40 to 49 years, 2.0 (1.6-2.4) vs 1.5 (1.3-1.7); for those aged 50 to 59 years, 3.9 (3.3-4.5) vs 2.2 (1.9-2.5); and for those aged 60 to 69 years, 5.0 (3.8-6.7) vs 3.3 (2.6-4.2) (P < .05 for all). After adjusting for Framingham risk factors, comorbidities, and substance use, HIV-positive veterans had an increased risk of incident AMI compared with uninfected veterans (hazard ratio, 1.48; 95% CI, 1.27-1.72). An excess risk remained among those achieving an HIV-1 RNA level less than 500 copies/mL compared with uninfected veterans in time-updated analyses (hazard ratio, 1.39; 95% CI, 1.17-1.66). CONCLUSIONS AND RELEVANCE Infection with HIV is associated with a 50% increased risk of AMI beyond that explained by recognized risk factors.

Development and verification of a "virtual" cohort using the National VA Health Information System.

Background:The VAs integrated electronic medical record makes it possible to create a “virtual” cohort of veterans with and without HIV infection to monitor trends in utilization, toxicity, and outcomes. Objectives:We sought to develop a virtual cohort of HIV-infected veterans by adapting an existing algorithm, verifying this algorithm against independent clinical data, and finally identifying demographically-similar HIV-uninfected comparators. Research Design:Subjects were identified from VA administrative data in fiscal years 1998–2003 using a modified existing algorithm, then linked with Immunology Case Registry (ICR, the VAs HIV registry) and Pharmacy Benefits Management (centralized database of outpatient prescriptions) to verify accuracy of identification. The algorithm was modified to maximize positive predictive value (PPV) against ICR. Finally, 2 HIV-uninfected comparators were matched to each HIV-infected subject. Results:Using a single HIV code, 30,564 subjects were identified (positive predictive value 69%). Modification to require >1 outpatient or 1 inpatient code improved the positive predictive value to 88%. The lack of confirmatory laboratory and pharmacy data for the majority of subjects with a single outpatient code also supported this change. Of subjects identified with the modified algorithm, 89% had confirmatory evidence. When the modified algorithm was applied to fiscal years 1997–2004, 33,420 HIV-infected subjects were identified. Two HIV-uninfected comparators were matched to each subject for an overall cohort sample of 100,260. Conclusions:In the HAART era, HIV-related codes are sufficient for identifying HIV-infected subjects from administrative data when patients with a single outpatient code are excluded. A large cohort of HIV-infected subjects and matched comparators can be identified from existing VA administrative datasets.

Rate and predictors of treatment prescription for hepatitis C

Background: The true treatment rate for hepatitis C virus (HCV) in veterans is unknown. Aim: To determine the treatment prescription rates and predictors of treatment prescription for HCV in a large national population. Methods: The Department of Veterans Affairs National Patient Care Database (NPCD) was used to identify all HCV-infected people between the fiscal years 1999 and 2003 using the International classification of diseases, 9th revision codes. Demographic information, medical and psychiatric comorbidities, and drug and alcohol use diagnoses were retrieved. Pharmacy data were retrieved from the Department of Veterans Affairs Pharmacy Benefits Management (PBM) database. Logistic regression analysis was used to determine the predictors of treatment for HCV in HCV. Results: 113 927 veterans in the Department of Veterans Affairs care with a diagnosis of HCV were identified. The treatment prescription rate for HCV was 11.8%. Patients not prescribed treatment were older, more likely to be from minority races, have more alcohol and drug misuse, and have medical and psychiatric comorbid conditions. In a multivariate logistic regression model, the following factors were predictive of non-treatment for HCV: increasing age (odds ratio (OR) 0.77 for each 5-year increase in age; 95% confidence interval (CI) 0.76 to 0.78); black race (OR 0.64; 95% CI 0.6 to 0.68); Hispanic race (OR 0.88; 95% CI 0.8 to 0.96); alcohol abuse and dependence (OR 0.62; 95% CI 0.59 to 0.65); drug abuse and dependence (OR 0.78; 95% CI 0.74 to 0.82); anaemia (OR 0.18; 95% CI 0.16 to 0.21); hepatitis B infection (OR 0.72; 95% CI 0.62 to 0.83); coronary artery disease (OR 0.9; 95% CI 0.85 to 0.97); stroke (OR 0.75; 95% CI 0.67 to 0.85); bipolar disorder (OR 0.64; 95% CI 0.58 to 0.70); major depression (OR 0.72; 95% CI 0.67 to 0.77); mild depression (OR 0.56; 95% CI 0.53 to 0.59); and schizophrenia (OR 0.71; 95% CI 0.65 to 0.77). The following factors were associated with a higher likelihood of treatment prescription for HCV: liver cirrhosis (OR 1.6; 95% CI 1.5 to 1.7); and diabetes (OR 1.07; 95% CI 1.02 to 1.12). Conclusions: A small number of HCV-infected veterans were prescribed treatment for HCV. Non-treatment is associated with increasing age, non-white race, drug and alcohol abuse, and dependence and comorbid illnesses. Reasons for non-treatment need further study.

Medical disease and alcohol use among veterans with human immunodeficiency infection: A comparison of disease measurement strategies.

Background:Many people with human immunodeficiency (HIV) infection drink alcohol. We asked whether level of exposure to alcohol is associated with medical disease in a linear or nonlinear manner, whether the association depends upon the proximity of alcohol use, and whether it varies by source used to measure disease (chart review vs. ICD-9 Diagnostic Codes). Methods:The Veterans Aging 3 Site Cohort Study (VACS 3) enrolled 881 veterans, 86% of all HIV-positive patients seen, at 3 VA sites from June 23, 1999, to July 28, 2000. To maximize the sensitivity for alcohol exposure, alcohol use was measured combining data from patient self-report, chart review, and ICD-9 codes. We assigned the greatest exposure level reported from any source. Alcohol use within the past 12 months was considered current. Data on comorbid and AIDS-defining medical diseases were collected via chart review and ICD-9 diagnostic codes. The association of alcohol use (level and timing) and disease was modeled only for diseases demonstrating ≥10% prevalence. Linearity was compared with nonlinearity of association using nested multivariate models and the likelihood ratio test. All multivariate models were adjusted for age, CD4 cell count, viral load, intravenous drug use, exercise, and smoking. Results:Of 881 subjects enrolled, 866 (98%) had sufficient data for multivariate analyses, and 876 (99%) had sufficient data for comparison of chart review with ICD-9 Diagnostic Codes. Of the 866, 42 (5%) were lifetime abstainers; 247 (29%) were past drinkers; and 577 (67%) were current users. Among the 824 reporting past or current alcohol use, 341 (41%) drank in moderation, 192 (23%) drank hazardously, and 291 (35%) carried a diagnosis of abuse or dependence. ICD-9 codes showed limited sensitivity, but overall agreement with chart review was good for 15 of 20 diseases (kappa >0.4). The following diseases demonstrated a ≥10% prevalence with both measures (hepatitis C, hypertension, diabetes, obstructive lung disease, candidiasis, and bacterial pneumonia). All of these were associated with alcohol use (P < 0.05). Hepatitis C, hypertension, obstructive lung disease, candidiasis, and bacterial pneumonia demonstrated linear associations with level of alcohol use (P < 0.03). Past alcohol use increased the risk of hepatitis C and diabetes after adjustment for level of exposure (P < 0.01). With the exception of candidiasis, the associations between level and timing of alcohol use were similar when measured by ICD-9 codes or by chart review. Conclusions:Past and current use of alcohol is common among those with HIV infection. Estimates of disease risk associated with alcohol use based upon ICD-9 Diagnostic Codes appear similar to those based upon chart review. After adjustment for level of alcohol exposure, past use is associated with similar (or higher) prevalence of disease as among current drinkers. Finally, level of alcohol use is linearly associated with medical disease. We find no evidence of a “safe” level of consumption among those with HIV infection.

Towards a combined prognostic index for survival in HIV infection: the role of 'non-HIV' biomarkers

As those with HIV infection live longer, ‘non‐AIDS’ condition associated with immunodeficiency and chronic inflammation are more common. We ask whether ‘non‐HIV’ biomarkers improve differentiation of mortality risk among individuals initiating combination antiretroviral therapy (cART).

Risk of diabetes in HIV infected veterans pre- and post-HAART and the role of HCV coinfection†

We examined the association of hepatitis C virus (HCV) infection with diabetes in veterans infected with human immunodeficiency virus (HIV) before and after the institution of highly active antiretroviral therapy (HAART). The role of age, race, liver disease, alcohol, and drug diagnoses upon the risk of diabetes was also determined. Male veterans with HIV who entered care between 1992 and 2001 were identified from the Veterans Affairs (VA) administrative database. Demographic and disease data were extracted. Kaplan‐Meier curves were plotted to determine the incidence of diabetes. Unadjusted and adjusted hazards ratios for diabetes were determined using Cox regression method. A total of 26,988 veterans were studied. In multivariate Cox regression analysis, factors associated with a diagnosis of diabetes included increasing age (HR, 1.44 per 10‐year increase in age; 95% CI, 1.39–1.49), minority race (African American: HR, 1.35; 95% CI, 1.24–1.48; Hispanic: HR, 1.63; 95% CI, 1.43–1.86), and care in the HAART era (HR, 2.35; 95% CI, 2.01–2.75). There was a significant interaction between care in the HAART era and HCV infection, with HCV infection being associated with a significant risk of diabetes in the HAART era (HR, 1.39; 95% CI, 1.27–1.53) but not in the pre‐HAART era (HR, 1.01; 95% CI, 0.75–1.36). In conclusion, HIV‐infected veterans in the HAART era are at a higher risk for diabetes compared with those in the pre‐HAART era. HCV coinfection is associated with a significantly higher risk of diabetes in the HAART era, but not in the pre‐HAART era. HCV‐HIV coinfected patients should be aggressively screened for diabetes. (HEPATOLOGY 2004;40:115–119.)

Comparison of Risk and Age at Diagnosis of Myocardial Infarction, End-Stage Renal Disease, and Non-AIDS-Defining Cancer in HIV-Infected Versus Uninfected Adults

BACKGROUND Although it has been shown that human immunodeficiency virus (HIV)-infected adults are at greater risk for aging-associated events, it remains unclear as to whether these events happen at similar, or younger ages, in HIV-infected compared with uninfected adults. The objective of this study was to compare the median age at, and risk of, incident diagnosis of 3 age-associated diseases in HIV-infected and demographically similar uninfected adults. METHODS The study was nested in the clinical prospective Veterans Aging Cohort Study of HIV-infected and demographically matched uninfected veterans, from 1 April 2003 to 31 December 2010. The outcomes were validated diagnoses of myocardial infarction (MI), end-stage renal disease (ESRD), and non-AIDS-defining cancer (NADC). Differences in mean age at, and risk of, diagnosis by HIV status were estimated using multivariate linear regression models and Cox proportional hazards models, respectively. RESULTS A total of 98 687 (31% HIV-infected and 69% uninfected) adults contributed >450 000 person-years and 689 MI, 1135 ESRD, and 4179 NADC incident diagnoses. Mean age at MI (adjusted mean difference, -0.11; 95% confidence interval [CI], -.59 to .37 years) and NADC (adjusted mean difference, -0.10 [95% CI, -.30 to .10] years) did not differ by HIV status. HIV-infected adults were diagnosed with ESRD at an average age of 5.5 months younger than uninfected adults (adjusted mean difference, -0.46 [95% CI, -.86 to -.07] years). HIV-infected adults had a greater risk of all 3 outcomes compared with uninfected adults after accounting for important confounders. CONCLUSIONS HIV-infected adults had a higher risk of these age-associated events, but they occurred at similar ages than those without HIV.

Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source

INTRODUCTION We assessed smoking data from the Veterans Health Administration (VHA) electronic medical record (EMR) Health Factors dataset. METHODS 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. RESULTS 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. CONCLUSIONS 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.

The Burden of Illness in the First Year Home: Do Male and Female VA Users Differ in Health Conditions and Healthcare Utilization

BACKGROUND we sought to describe gender differences in medical and mental health conditions and health care utilization among veterans who used Veterans Health Administration (VA) services in the first year after combat in Iraq and Afghanistan. METHODS this is an observational study, using VA administrative and clinical data bases, of 163,812 Operation Enduring Freedom/Operation Iraqi Freedom veterans who had enrolled in VA and who had at least one visit within 1 year of last deployment. RESULTS female veterans were slightly younger (mean age, 30 years vs. 32 for men; p <.0001), twice as likely to be African American (30% vs. 15%; p <.0001), and less likely to be married (32% vs. 49%; p < .0001). Women had more visits to primary care (2.6 vs. 2.0; p < .001) and mental health (4.0 vs. 3.6; p < .001) clinics and higher use of community care outside the VA (14% vs. 10%; p < .001). After adjustment for significant demographic differences, women were more likely to have musculoskeletal and skin disorders, mild depression, major depression, and adjustment disorders, whereas men were more likely to have ear disorders and posttraumatic stress disorder. Thirteen percent of women sought care for gynecologic examination, 10% for contraceptive counseling, and 7% for menstrual disorders. CONCLUSION female veterans had similar rates of physical conditions, but higher rates of some mental health disorders and additionally, used the VA for reproductive health needs. They also had slightly greater rates of health care service use. These findings highlight the complexity of female Veteran health care and support the development of enhanced comprehensive womens health services within the VA.

The Risk of Incident Coronary Heart Disease Among Veterans With and Without HIV and Hepatitis C

Background—Whether hepatitis C virus (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 January 2000 to July 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, 2.03; 95% confidence interval, 1.28 to 3.21) or a competing risk (adjusted HR, 2.45; 95% confidence interval, 1.83 to 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 hazard ratio, 1.93; 95% confidence interval, 1.02 to 3.62) or a competing risk (adjusted hazard ratio, 1.46; 95% confidence interval, 1.03 to 2.07). Conclusions—HIV+HCV+ Veterans have an increased risk of CHD compared with HIV+HCV− and HIV−HCV− Veterans.