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To determine whether the Veterans Health Administration’s (VHA) hepatitis C (HCV) treatment campaign reached marginalized populations, we compared HCV care by previous incarceration status with Veterans Aging Cohort Study data. Of those with and those without previous incarceration, respectively, 40% and 21% had detectable HCV, 59% and 65% underwent treatment (P = .07); 92% and 94% of those who completed treatment achieved sustained virologic response. The VHA HCV treatment effort was successful and other systems should replicate those efforts. (Am J Public Health. 2023;113(2):162–165. https://doi.org/10.2105/AJPH.2022.307152 )

Describe engagement in HIV care over time after initial engagement in HIV care, by gender identity.Observational, clinical cohort study of people with HIV engaged in routine HIV care across the United States.We followed people with HIV who linked to and engaged in clinical care (attending ≥2 visits in 12 months) in cohorts in the North American Transgender Cohort Collaboration, 2000-2018. Within strata of gender identity, we estimated the 7-year (84-month) restricted mean time spent: lost-to-clinic (stratified by pre/postantiretroviral therapy (ART) initiation); in care prior to ART initiation; on ART but not virally suppressed; virally suppressed (≤200 copies/ml); or dead (pre/post-ART initiation).Transgender women ( N = 482/101 841) spent an average of 35.5 out of 84 months virally suppressed (this was 30.5 months for cisgender women and 34.4 months for cisgender men). After adjustment for age, race, ethnicity, history of injection drug use, cohort, and calendar year, transgender women were significantly less likely to die than cisgender people. Cisgender women spent more time in care not yet on ART, and less time on ART and virally suppressed, but were less likely to die compared with cisgender men. Other differences were not clinically meaningful.In this sample, transgender women and cisgender people spent similar amounts of time in care and virally suppressed. Additional efforts to improve retention in care and viral suppression are needed for all people with HIV, regardless of gender identity.

There are no studies comparing the prognosis for mature T-cell lymphoma (TCL) in people with HIV (PWH) to people without HIV (PWoH) and to AIDS-defining B-cell lymphomas (A-BCLs) in the modern antiretroviral therapy era. North American AIDS Cohort Collaboration on Research and Design and Comprehensive Oncology Measures for Peripheral T-cell Lymphoma Treatment are cohorts that enroll patients diagnosed with HIV and TCL, respectively. In our study, 52, 64, 101, 500, and 246 PWH with histologic confirmation of TCL, primary central nervous system lymphoma, Burkitt’s lymphoma, diffuse large B-cell lymphoma (DLBCL), and Hodgkin’s lymphoma (HL), respectively, and 450 TCLs without HIV were eligible for analysis. At the time of TCL diagnosis, anaplastic large-cell lymphoma (ALCL) was the most common TCL subtype within PWH. Although PWH with TCL diagnosed between 1996 and 2009 experienced a low 5-year survival probability at 0.23 (95% confidence interval [CI]: 0.13, 0.41), we observed a marked improvement in their survival when diagnosed between 2010 and 2016 (0.69; 95% CI: 0.48, 1; P = .04) in contrast to TCLs among PWoH (0.45; 95% CI: 0.41, 0.51; P = .53). Similarly, PWH with ALCLs diagnosed between 1996 and 2009 were associated with a conspicuously inferior 5-year survival probability (0.17; 95% CI: 0.07, 0.42) and consistently lagged behind A-BCL subtypes such as Burkitt’s (0.43; 95% CI:0.33, 0.57; P = .09) and DLBCL (0.17; 95% CI: 0.06, 0.46; P = .11) and behind HL (0.57; 95% CI: 0.50, 0.65; P < .0001). Despite a small number, those diagnosed between 2010 and 2016 experienced a remarkable improvement in survival (0.67; 95% CI: 0.3, 1) in comparison with PWoH (0.76; 95% CI: 0.66, 0.87; P = .58). Thus, our analysis confirms improved overall survival for aggressive B- and T-cell malignancies among PWH in the last decade.

BACKGROUND: People with HIV (PWH) have a higher hospitalization rate than the general population. The Veterans Aging Cohort Study (VACS) Index at study entry well predicts hospitalization in PWH, but it is unknown if the time-updated parameter improves hospitalization prediction. We assessed the association of parameterizations of the VACS Index 2.0 with the 5-year risk of hospitalization. SETTING: PWH ≥ 30 years old with at least 12 months of antiretroviral therapy (ART) use, and contributing hospitalization data from 2000 to 2016 in North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) were included. Three parameterizations of the VACS Index 2.0 were assessed and categorized by quartile: 1) “baseline” measurement at study entry, 2) time-updated measurements, and 3) cumulative scores calculated using the trapezoidal rule. METHODS: Discrete-time proportional hazard models estimated the crude and adjusted associations (and 95% confidence intervals [CI]) of the VACS Index parameterizations and all-cause hospitalizations. The Akaike information criterion (AIC) assessed the model fit with each of the VACS Index parameters. RESULTS: Among 7,289 patients, 1,537 were hospitalized. Time-updated VACS Index fitted hospitalization best with a more distinct dose-response relationship (score

BackgroundNicotine replacement therapy, bupropion, and varenicline are smoking cessation medications (SCMs) shown to be similarly effective in people with and without human immunodeficiency virus (PWH and PWoH, respectively), although rates of receipt of these medications are unknown.MethodsWe identified patients in the Veterans Aging Cohort Study with electronic health record-documented current smoking using clinical reminder data for tobacco use (2003–2018). We measured receipt of SCMs using Veterans Affairs pharmacy data for outpatient prescriptions filled 0–365 days after current smoking documentation. We used log-linear, Poisson-modified regression models to evaluate the relative risk (RR) for receiving SCM by human immunodeficiency virus (HIV) status, the annual rate of receipt, and rate difference among PWH relative to PWoH.ResultsThe sample included 92 632 patients (29 086 PWH), reflecting 381 637 documentations of current smoking. From 2003 to 2018, the proportion receiving SCMs increased from 15% to 34% for PWH and from 17% to 32% among PWoH. There was no statistical difference in likelihood of receiving SCM by HIV status (RR, 1.010; 95% confidence interval [CI], .994–1.026). Annual rates of receiving SCM increased for PWH by 4.3% per year (RR, 1.043; 95% CI, 1.040–1.047) and for PWoH by 3.7% per year (RR, 1.037; 95% CI, 1.036–1.038; rate difference +0.6% [RR, 1.006; 95% CI, 1.004–1.009]).ConclusionsIn a national sample of current smokers, receipt of SCM doubled over the 16-year period, and differences by HIV status were modest. However, fewer than 35% of current smokers receive SCM annually. Efforts to improve SCM receipt should continue for both groups given the known dangers of smoking.

Although opioid agonist therapy (OAT) is associated with positive health outcomes, including improved HIV management, long-term retention in OAT remains low among patients with opioid use disorder (OUD). Using data from the Veterans Aging Cohort Study (VACS), we identify variables independently associated with OAT retention overall and by HIV status. Among 7,334 patients with OUD, 13.7% initiated OAT, and 27.8% were retained 12-months later. Likelihood of initiation and retention did not vary by HIV status. Variables associated with improved likelihood of retention included receiving buprenorphine (relative to methadone), receiving both buprenorphine and methadone at some point over the 12-month period, or diagnosis of HCV. History of homelessness was associated with a lower likelihood of retention. Predictors of retention were largely distinct between patients with HIV and patients without HIV. Findings highlight the need for clinical, systems, and research initiatives to better understand and improve OAT retention.

Author(s): Hahn, Judith A; Murnane, Pamela M; Vittinghoff, Eric; Muyindike, Winnie R; Emenyonu, Nneka I; Fatch, Robin; Chamie, Gabriel; Haberer, Jessica E; Francis, Joel M; Kapiga, Saidi; Jacobson, Karen; Myers, Bronwyn; Couture, Marie Claude; DiClemente, Ralph J; Brown, Jennifer L; So-Armah, Kaku; Sulkowski, Mark; Marcus, Gregory M; Woolf-King, Sarah; Cook, Robert L; Richards, Veronica L; Molina, Patricia; Ferguson, Tekeda; Welsh, David; Piano, Mariann R; Phillips, Shane A; Stewart, Scott; Afshar, Majid; Page, Kimberly; McGinnis, Kathleen; Fiellin, David A; Justice, Amy C; Bryant, Kendall; Saitz, Richard | Abstract: BackgroundObjective measurement of alcohol consumption is important for clinical care and research. Adjusting for self-reported alcohol use, we conducted an individual participant data (IPD) meta-analysis to examine factors associated with the sensitivity of phosphatidylethanol (PEth), an alcohol metabolite, among persons self-reporting unhealthy alcohol consumption.MethodsWe identified 21 eligible studies and obtained 4073 observations from 3085 participants with Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) positive scores (≥3 for women and ≥4 for men) and PEth measurements. We conducted 1-step IPD meta-analysis using mixed effects models with random intercepts for study site. We examined the associations between demographic (sex, race/ethnicity, and age) and biologic (body mass index-BMI, hemoglobin, HIV status, liver fibrosis, and venous versus finger-prick blood collection) variables with PEth sensitivity (PEth≥8nng/ml), adjusting for the level of self-reported alcohol use using the AUDIT-C score.ResultsOne third (31%) of participants were women, 32% were African, 28% African American, 28% White, and 12% other race/ethnicity. PEth sensitivity (i.e., ≥8nng/ml) was 81.8%. After adjusting for AUDIT-C, we found no associations of sex, age, race/ethnicity, or method of blood collection with PEth sensitivity. In models that additionally included biologic variables, those with higher hemoglobin and indeterminate and advanced liver fibrosis had significantly higher odds of PEth sensitivity; those with higher BMI and those living with HIV had significantly lower odds of PEth sensitivity. African Americans and Africans had higher odds of PEth sensitivity than whites in models that included biologic variables.ConclusionsAmong people reporting unhealthy alcohol use, several biological factors (hemoglobin, BMI, liver fibrosis, and HIV status) were associated with PEth sensitivity. Race/ethnicity was associated with PEth sensitivity in some models but age, sex, and method of blood collection were not. Clinicians should be aware of these factors, and researchers should consider adjusting analyses for these characteristics where possible.

Objective Tobacco use/smoking for epidemiologic studies is often derived from electronic health record (EHR) data, which may be inaccurate. We previously compared smoking from the United States Veterans Health Administration (VHA) EHR clinical reminder data with survey data and found excellent agreement. However, the smoking clinical reminder items changed October 1, 2018. We sought to use the biomarker salivary cotinine (cotinine ≥30) to validate current smoking from multiple sources. Materials and Methods We included 323 Veterans Aging Cohort Study participants with cotinine, clinical reminder, and self-administered survey smoking data from October 1, 2018 to September 30, 2019. We included International Classification of Disease (ICD)-10 codes F17.21 and Z72.0. Operating characteristics and kappa statistics were calculated. Results Participants were mostly male (96%), African American (75%) and mean age was 63 years. Of those identified as currently smoking based on cotinine, 86%, 85%, and 51% were identified as currently smoking based on clinical reminder, survey, and ICD-10 codes, respectively. Of those identified as not currently smoking based on cotinine, 95%, 97%, and 97% were identified as not currently smoking based on clinical reminder, survey, and ICD-10 codes. Agreement with cotinine was substantial for clinical reminder (kappa = .81) and survey (kappa = .83), but only moderate for ICD-10 (kappa = .50). Discussion To determine current smoking, clinical reminder, and survey agreed well with cotinine, whereas ICD-10 codes did not. Clinical reminders could be used in other health systems to capture more accurate smoking information. Conclusions Clinical reminders are an excellent source for self-reported smoking status and are readily available in the VHA EHR.

BACKGROUND: Electronic Medical Records (EMR) represent a rich source of data, but the value of EMR for health research relies on accurate ascertainment of clinical diagnoses. Identifying diabetes in EMR is complicated by the variety of accepted diagnostic criteria, some of which can be confounded by conditions such as HIV infection. We compared EMR-based criteria for estimating diabetes prevalence and incidence in the Veterans Administration (VHA), overall and by HIV status, against physician chart review and adjudication. RESEARCH DESIGN AND METHODS: We used laboratory values (serum glucose and hemoglobin A1c% [HbA1c]), ICD-9 codes, and medication records from the United States Veterans Aging Cohort Study Biomarker Cohort (VACS-BC) to identify veterans with any indication of diabetes in the EMR for subsequent physician adjudication. Sensitivity, specificity, PPV, NPV, and kappa statistics were used to evaluate agreement of EMR-based diabetes diagnoses with chart review adjudicated diagnoses. RESULTS: EMR entries were reviewed for 1546 persons with HIV (PWH) and 843 HIV-negative participants through 2015. Agreement was at least moderate overall (kappa ≥0.42) for all pre-specified measures and among PWH vs. HIV-negative, and African-American vs. white subgroups. Having at least one HbA1c ≥6.5% provided substantial agreement with chart adjudication for prevalent and incident diabetes (kappa = 0.89 and 0.73). CONCLUSIONS: Identification of those with diabetes nationally within the VHA can be used in future studies to evaluate treatments, health outcomes, and adjust for diabetes in epidemiologic studies. Our methodology may provide insights for other organizations seeking to use EMR data for accurate determination of diabetes.

BACKGROUND We sought to compare self-reported alcohol consumption using Timeline Followback (TLFB) to biomarker-based evidence of significant alcohol use (phosphatidylethanol [PEth] > 20 ng/ml). Using data from patients with HIV (PWH) entering a clinical trial, we asked whether TLFB could predict PEth > 20 ng/ml and assessed the magnitude of association between TLFB and PEth level. METHODS We defined unhealthy alcohol use as any alcohol use in the presence of liver disease, at-risk drinking, or alcohol use disorder. Self-reported alcohol use obtained from TLFB interview was assessed as mean number of drinks/day and number of heavy drinking days over the past 21 days. Dried blood spot samples for PEth were collected at the interview. We used logistic regression to predict PEth > 20 ng/ml and Spearman correlation to quantify the association with PEth, both as a function of TLFB. RESULTS Among 282 individuals (99% men) in the analytic sample, approximately two-thirds (69%) of individuals had PEth > 20 ng/ml. The proportion with PEth > 20 ng/ml increased with increasing levels of self-reported alcohol use; of the 190 patients with either at-risk drinking or alcohol use disorder based on self-report, 82% had PEth > 20 ng/ml. Discrimination was better with number of drinks per day than heavy drinking days (AUC: 0.80 [95% CI: 0.74 to 0.85] vs. 0.74 [95% CI: 0.68 to 0.80]). The number of drinks per day and PEth were significantly and positively correlated across all levels of alcohol use (Spearman's R ranged from 0.29 to 0.56, all p values

Religion and spirituality have been associated with higher survival and improved biological markers among people living with HIV/AIDS (PLWH). Prior results have largely been among small cohort studies. We examined the association using a larger sample and longitudinal data from the Veterans Aging Cohort Study (VACS) years 2002–2012 (n = 3,685). Attending services at least monthly was associated with higher social support (80% vs 75%, p = 0.002), less unhealthy alcohol use (35% vs 39%, p = 0.006), less marijuana use in the past year (23% vs 32%, p

Introduction Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status. Methods From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status. Results Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51–0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61–0.99; for uninfected: AOR 0.70, 95% CI 0.61–0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49–0.1.00; for uninfected: AOR 0.63, 95% CI 0.48–0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention. Conclusions For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH).

Introduction The Department of Veterans Affairs (VA) is the largest provider of HIV care in the United States. Changes in healthcare delivery became necessary with the COVID‐19 pandemic. We compared HIV healthcare delivery during the first year of the COVID‐19 pandemic to a prior similar calendar period. Methods We included 27,674 people with HIV (PWH) enrolled in the Veterans Aging Cohort Study prior to 1 March 2019, with ≥1 healthcare encounter from 1 March 2019 to 29 February 2020 (2019) and/or 1 March 2020 to 28 February 2021 (2020). We counted monthly general medicine/infectious disease (GM/ID) clinic visits and HIV‐1 RNA viral load (VL) tests. We determined the percentage with ≥1 clinic visit (in‐person vs. telephone/video [virtual]) and ≥1 VL test (detectable vs. suppressed) for 2019 and 2020. Using pharmacy records, we summarized antiretroviral (ARV) medication refill length (

ImportanceDirect-acting antiviral (DAA) treatment for hepatitis C virus (HCV) infection is associated with lower mortality and is effective in individuals with alcohol use disorder (AUD). However, despite recommendations, patients with AUD may be less likely to receive DAAs.ObjectiveTo assess the association between alcohol use and receipt of DAA treatment among patients with HCV within the Veterans Health Administration (VHA).Design, Setting, and ParticipantsThis cohort study included 133 753 patients with HCV born from 1945 to 1965 who had completed the Alcohol Use Disorders Identification Test–Consumption (AUDIT-C) questionnaire and had at least 1 outpatient visit in the VHA from January 1, 2014, through May 31, 2017, with maximal follow-up of 3 years until May 31, 2020; DAA receipt; or death, whichever occurred first.ExposuresAlcohol use categories generated using responses to the AUDIT-C questionnaire and International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnoses: current AUD, abstinent with AUD history, at-risk drinking, lower-risk drinking, and abstinent without AUD history. Demographic, other clinical, and pharmacy data were also collected.Main Outcomes and MeasuresAssociations between alcohol use categories and DAA receipt within 1 and 3 years estimated using Cox proportional hazards regression stratified by calendar year.ResultsOf 133 753 patients (130 103 men [97%]; mean [SD] age, 60.6 [4.5] years; and 73 493 White patients [55%]), 38% had current AUD, 12% were abstinent with a history of AUD, 6% reported at-risk drinking, 14% reported lower-risk drinking, and 30% were abstinent without a history of AUD. Receipt of DAA treatment within 1 year was 7%, 33%, 53%, and 56% for patients entering the cohort in 2014, 2015, 2016, and 2017, respectively. For patients entering in 2014, those with current AUD (hazard ratio [HR], 0.72 [95%, CI, 0.66-0.77]) or who were abstinent with an AUD history (HR, 0.91 [95% CI, 0.84-1.00]) were less likely to receive DAA treatment within 1 year compared with patients with lower-risk drinking. For those entering in 2015-2017, patients with current AUD (HR, 0.75 [95% CI, 0.70-0.81]) and those who were abstinent with an AUD history (HR, 0.76 [95% CI, 0.68-0.86]) were less likely to receive DAA treatment within 1 year compared with patients with lower-risk drinking.Conclusions and RelevanceThis cohort study suggests that individuals with AUD, regardless of abstinence, were less likely to receive DAA treatment. Improved access to DAA treatment for persons with AUD is needed.

BACKGROUND: It is not definitively known if persons with HIV (PWH) are more likely to be SARS-CoV-2 tested or test positive than persons without HIV (PWoH). We describe SARS-CoV-2 testing and positivity in 6 large geographically and demographically diverse cohorts of PWH and PWoH in the United States. SETTING: The Corona-Infectious-Virus Epidemiology Team (CIVET) comprises five clinical cohorts within a health system (Kaiser Permanente Northern California, Oakland, CA; Kaiser Permanente Mid-Atlantic States, Rockville, MD; University of North Carolina Health, Chapel Hill, NC; Vanderbilt University Medical Center, Nashville, TN; Veterans Aging Cohort Study) and one interval cohort (MACS/WIHS Combined Cohort Study). METHODS: We calculated the proportion of patients SARS-CoV-2 tested and the test positivity proportion by HIV status from March 1 to December 31, 2020. RESULTS: The cohorts ranged in size from 1,675 to 31,304 PWH and 1,430 to 3,742,604 PWoH. The proportion of PWH who were tested for SARS-CoV-2 (19.6%–40.5% across sites) was significantly higher than PWoH (14.8%–29.4%) in the clinical cohorts. However, among those tested, the proportion of patients with positive SARS-CoV-2 tests was comparable by HIV status; the difference in proportion of SARS-CoV-2 positivity ranged from 4.7% lower to 1.4% higher. CONCLUSION: Although PWH had higher testing proportions compared with PWoH, we did not find evidence of increased positivity in 6 large, diverse populations across the United States. Ongoing monitoring of testing, positivity, and COVID-19 related outcomes in PWH are needed given availability, response, and durability of COVID-19 vaccines; emergence of SARS-CoV-2 variants; and latest therapeutic options.

The timeline followback (TLFB) takes more resources to collect than the Alcohol Use Disorder Identification Test (AUDIT-C). We assessed agreement of TLFB and AUDIT-C with the biomarker phosphatidylethanol (PEth) and compared changes in TLFB and PEth among persons with HIV (PWH) using secondary data from randomized trials. We calculated operating characteristics and agreement between TLFB (> 1 and > 2 average drinks/day), AUDIT-C ≥ 4 and PEth ≥ 20 among 275 men with HIV. Median age was 57 years, 80% were African-American; and 17% white. Sixty-eight percent had PEth ≥ 20, 46% reported > 2 average drinks/day on TLFB, 61% reported > 1 average drinks/day on TLFB, and 72% had an AUDIT-C ≥ 4. Relative to PEth, sensitivity for AUDIT-C ≥ 4 was 84% (kappa = 0.36), and for TLFB > 1 average drink/day was 76% (kappa = 0.44). Change in alcohol use appeared greater using TLFB measures than PEth. Strategies to robustly assess alcohol use in PWH may require both self-report and biomarkers.

BACKGROUND Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract. OBJECTIVE The main objective of this study was to compare sensitivity and specificity of patient self-report with various methods of identifying incarceration exposure using the EHR. RESEARCH DESIGN Validation study using multiple data sources and types. SUBJECTS Participants of the Veterans Aging Cohort Study (VACS), a national observational cohort based on data from the Veterans Health Administration (VHA) EHR that includes all human immunodeficiency virus-infected patients in care (47,805) and uninfected patients (99,060) matched on region, age, race/ethnicity, and sex. MEASURES AND DATA SOURCES Self-reported incarceration history compared with: (1) linked VHA EHR data to administrative data from a state Department of Correction (DOC), (2) linked VHA EHR data to administrative data on incarceration from Centers for Medicare and Medicaid Services (CMS), (3) VHA EHR-specific identifier codes indicative of receipt of VHA incarceration reentry services, and (4) natural language processing (NLP) in unstructured text in VHA EHR. RESULTS Linking the EHR to DOC data: sensitivity 2.5%, specificity 100%; linking the EHR to CMS data: sensitivity 7.9%, specificity 99.3%; VHA EHR-specific identifier for receipt of reentry services: sensitivity 7.3%, specificity 98.9%; and NLP, sensitivity 63.5%, specificity 95.9%. CONCLUSIONS NLP tools hold promise as a feasible and valid method to identify individuals with exposure to incarceration in EHR. Future work should expand this approach using a larger body of documents and refinement of the methods, which may further improve operating characteristics of this method.

BACKGROUND: Opioid use disorder (OUD) is prevalent among people with HIV (PWH). Opioid agonist therapy (OAT) is the most effective treatment for OUD and is associated with improved health outcomes, but is often not initiated. To inform clinical practices and policies, we identified factors predictive of OAT initiation among patients with and without HIV. METHODS: In this longitudinal, cohort study, we identified 19,698 new clinical encounters of OUD occurring between 2000 and 2012 in the Veterans Aging Cohort Study (VACS), a national observational cohort of PWH and matched uninfected controls. Mixed effects models examined factors predictive of initiation of any OAT within 30-days of a new OUD clinical encounter. We used a five-month break-in-care to ensure the identified OUD clinical encounter constituted a new opportunity for treatment. RESULTS: 4.9% of both PWH and uninfected patients initiated any OAT within 30 days of a new OUD clinical encounter. In adjusted models, participants with a psychiatric diagnosis (adjusted odds ration [aOR] = 0.54, 95% confidence interval [CI] 0.47 – 0.62), PWH (aOR=0.79, 95% CI 0.68–0.92), and rural residence (aOR=0.56, 95% CI 0.39–0.78) had a lower likelihood of any OAT initiation, while African-American patients (aOR=1.60, 95% CI 1.34 – 1.92), those with an alcohol related diagnosis (aOR=1.76, 95% CI 1.48–2.08), diagnosis year 2005–2008 relative to 2000–2004 (aOR=1.24, 95% CI 1.05–1.45), and patients with HCV (aOR=1.50, 95% CI 1.27–1.77) had a greater likelihood of initiating any OAT within 30 days. Predictive factors were similar in the total sample and PWH only models. CONCLUSIONS: PWH were less likely to receive timely OAT initiation than demographically similar uninfected patients. Given the known health benefits of such treatment, the low rate of OAT initiation warrants focused efforts in both PWH and uninfected populations.

Background The updated Veterans Aging Cohort Study (VACS) Index 2.0 combines general and human immunodeficiency virus (HIV)–specific biomarkers to generate a continuous score that accurately discriminates risk of mortality in diverse cohorts of persons with HIV (PWH), but a score alone is difficult to interpret. Using data from the North American AIDS Cohort Collaboration (NA-ACCORD), we translate VACS Index 2.0 scores into validated probability estimates of mortality. Methods Because complete mortality ascertainment is essential for accurate calibration, we restricted analyses to cohorts with mortality from the National Death Index or equivalent sources. VACS Index 2.0 components were ascertained from October 1999 to April 2018. Mortality was observed up to March 2019. Calibration curves compared predicted (estimated by fitting a gamma model to the score) to observed mortality overall and within subgroups: cohort (VACS/NA-ACCORD subset), sex, age 500 copies/mL, CD4 count Results Among 37230 PWH in VACS and 8061 PWH in the NA-ACCORD subset, median age was 53 and 44 years; 3% and 19% were women; and 48% and 39% were black. Discrimination in NA-ACCORD (C-statistic = 0.842 [95% confidence interval {CI}, .830–.854]) was better than in VACS (C-statistic = 0.813 [95% CI, .809–.817]). Predicted and observed mortality largely overlapped in VACS and the NA-ACCORD subset, overall and within subgroups. Conclusions Based on this validation, VACS Index 2.0 can reliably estimate probability of all-cause mortality, at various follow-up times, among PWH in North America.

BACKGROUND: Persons with HIV (PWH) and opioid use disorder (OUD) can have poor health outcomes. We assessed whether intensity of behavioral treatment for OUD (BOUD) with and without medication for OUD (MOUD) is associated with improved HIV clinical outcomes. METHODS: We used Veterans Aging Cohort Study (VACS) data from 2008 to 2017 to identify PWH and OUD with ≥1 BOUD episode. We assessed BOUD intensity and ≥6 months of MOUD (methadone or buprenorphine) receipt during the 12 months after BOUD initiation. Linear regression models assessed the association of BOUD intensity and MOUD receipt with pre-post changes in log viral load (VL), CD4 cell count, VACS Index 2.0, antiretroviral treatment (ART) initiation, and ART adherence. RESULTS: Among 2,419 PWH who initiated BOUD, we identified five distinct BOUD intensity trajectories: single visit (39% of sample); low-intensity, not sustained (37%); high-intensity, not sustained (9%); low-intensity, sustained (11%); and high-intensity, sustained (5%). MOUD receipt was low (17%). Among 709 PWH not on ART at the start of BOUD, ART initiation increased with increased BOUD intensity (p

Background For people with HIV (PWH) and alcohol use disorder (AUD) who initiated behavioral treatment (BAUD) we: 1) describe BAUD intensity and medication (MAUD); and 2) examine whether BAUD and MAUD were associated with changes in HIV-related outcomes (CD4 cell count, HIV-1 viral load [VL], VACS Index score 2.0, and antiretroviral [ARV] adherence) from before to one year after treatment initiation. Methods We used Veterans Aging Cohort Study (VACS) data to describe BAUD intensity and MAUD (acamprosate, disulfiram, and naltrexone, gabapentin or topiramate). Linear regression models estimated changes in outcomes and included BAUD, MAUD, age and race/ethnicity. Results We identified 7830 PWH who initiated BAUD from 01/2008−09/2017. Median age was 53, 60% were African-American and 28% white. BAUD intensity groups were: 1) Single Visit - 35%; 2) Minimal - 44% recieved ∼2 visits during first month; 3) Sustained Moderate - 17% recieved ∼8 visits/month initially; and 4) Intensive - 4% started out receiving ∼14−16 visits/month. Only 9% recieved MAUD, the majority of which was gabapentin. Among those with detectable VL: all HIV-related outcomes improved more among those with more intensive BAUD. Among those with undetectable VL: adherence improved more among those with greater BAUD intensity. MAUD was associated with increased CD4 among those with detectable VL and with improved adherence among both groups. Conclusion Of those with >1 BAUD visit, only 21% received at least moderate BAUD and 9% received at least 6 months of MAUD. Increasing AUD treatment intensity may improve HIV-related outcomes, especially among those with detectable VL.

Alcohol use increases non-adherence to antiretroviral therapy (ART) among persons living with HIV (PLWH). Dynamic longitudinal associations are understudied. Veterans Aging Cohort Study (VACS) data 2/1/2008-7/31/16 were used to fit linear regression models estimating changes in adherence (% days with ART medication fill) associated with changes in alcohol use based on annual clinically-ascertained AUDIT-C screening scores (range - 12 to + 12, 0 = no change) adjusting for demographics and initial adherence. Among 21,275 PLWH (67,330 observations), most reported no (48%) or low-level (39%) alcohol use initially, with no (55%) or small (39% ≤ 3 points) annual change. Mean initial adherence was 86% (SD 21%), mean annual change was - 3.1% (SD 21%). An inverted V-shaped association was observed: both increases and decreases in AUDIT-C were associated with greater adherence decreases relative to stable scores [p 0.001, F (4, 21,274)]. PLWH with dynamic alcohol use (potentially indicative of alcohol use disorder) should be considered for adherence interventions.El consumo de alcohol aumenta el no-cumplimiento a la terapia antirretroviral (TARV) entre las personas que viven con VIH. No se han estudiado lo suficiente las dinámicas asociaciones longitudinales. Los datos del Estudio de la Envejecimiento de Cohorte de Veteranos (EECV) (1/2/2008–31/7/2016) fueron usados para encajar modelos de regresión lineal estimando los cambios en cumplimiento (% de días con medicaciones TARV surtidas) asociados con los cambios en el consumo de alcohol basado en los resultados anuales de las evaluaciones AUDIT-C, determinadas clínicamente, (una gama de -12 a + 12, 0 = cero cambio) adaptándose a las estadísticas demográficas y cumplimiento inicial. Entre 21,275 personas que viven con VIH (67,330 observaciones), la mayoría reportó ningún (48%) o bajos niveles del (39%) consumo de alcohol inicialmente, con ningún (55%) o muy pequeño (39% ≤ 3 puntos) cambio anual. la media inicial de cumplimiento fue 86% (DE 21%). La media de cambio anual fue -3.1% (DE 21%). Se observó una asociación de forma V invertida: tanto los aumentos como las disminuciones en AUDIT-C fueron asociados con mayor disminuciones de cumplimiento en comparación con resultados estables (p 0.001, F (4, 21,274)). Personas que viven con VIH con el consumo dinámico de alcohol (potencialmente indicativo de un trastorno por consumo de alcohol) deben ser considerados por intervenciones de cumplimiento.

Background A higher proportion of circulating memory CD4+ T cells is associated with prevalent diabetes mellitus in the general population. Given the broad changes in adaptive immunity, including memory T-cell expansion, and rising prevalence of diabetes in the human immunodeficiency virus (HIV) population, we assessed whether similar relationships were present in persons with HIV (PWH). Methods Multiple CD4+ and CD8+ T-cell subsets were measured by flow cytometry, and prevalent diabetes cases were adjudicated by 2 physicians for PWH and HIV-negative participants in the Veterans Aging Cohort Study. Multivariable logistic regression models evaluated the association of T-cell subsets and diabetes stratified by HIV status, adjusted for cytomegalovirus serostatus and traditional risk factors. Results Among 2385 participants (65% PWH, 95% male, 68% African American), higher CD45RO+ memory CD4+ T cells and lower CD38+ CD4+ T cells were associated with prevalent diabetes, and had a similar effect size, in both the PWH and HIV-negative (P ≤ .05 for all). Lower CD38+CD8+ T cells were also associated with diabetes in both groups. Conclusions The CD4+ and CD8+ T-cell subsets associated with diabetes are similar in PWH and HIV-negative individuals, suggesting that diabetes in PWH may be related to chronic immune activation.

BACKGROUND: Exposure to incarceration is associated with increased risk of mortality, and HIV is cited as a leading cause of death. Yet, few studies have examined the association between incarceration and mortality among people with HIV (PWH), specifically whether and how increasing exposure to incarceration increases risk of mortality. We compared mortality by different incarceration exposures and HIV status. METHODS: We conducted a prospective cohort study of participants in the Veterans Aging Cohort Study (VACS) from January 2011 to August 2017 (N=5,367). The primary exposure was incarceration by three measures: 1) any (ever/never); 2) frequency; and 3) cumulative duration. Stratifying by HIV status and controlling for age, race, and gender, we used Cox Proportional Hazard models to estimate adjusted hazard ratios (AHRs) and 95% confidence intervals (CIs). RESULTS: Incarceration was associated with increased risk of mortality compared with those never incarcerated for PWH (AHR 1.37; 95% CI, 1.13–1.66) and those uninfected (AHR 1.24; 95% CI, 0.99–1.54), but the association was only statistically significant among PWH. Increasing frequency of incarceration was associated with higher risk of mortality in both groups: for PWH, AHRs 1.13, 1.45, and 1.64 for 1, 2–5; 6+ times, respectively; for uninfected, AHRs 0.98, 1.35, and 1.70 for 1, 2–5, and 6+ times, respectively. CONCLUSIONS: PWH were at increased risk for mortality following incarceration and repeated exposure to incarceration was associated with mortality in both groups in a dose-response fashion. This increased risk for mortality may be mitigated by improving transitional healthcare, especially HIV care, and reducing incarceration.

Background Cohort studies identifying the incidence, complications and co-morbidities associated with community acquired pneumonia (CAP) are largely based on administrative datasets and rely on International Classification of Diseases (ICD) codes; however, the reliability of ICD codes for hospital admissions for CAP in people with HIV (PWH) has not been systematically assessed. Methods We used data from the Veterans Aging Cohort Study survey sample (N = 6824; 3410 PWH and 3414 uninfected) to validate the use of electronic health records (EHR) data to identify CAP hospitalizations when compared to chart review and to compare the performance in PWH vs. uninfected patients. We used different EHR algorithms that included a broad set of CAP ICD-9 codes, a set restricted to bacterial and viral CAP codes, and algorithms that included pharmacy data and/or other ICD-9 diagnoses frequently associated with CAP. We also compared microbiologic workup and etiologic diagnosis by HIV status among those with CAP. Results Five hundred forty-nine patients were identified as having an ICD-9 code compatible with a CAP diagnosis (13% of PWH and 4% of the uninfected, p P = 0.1) groups. Adding aspiration pneumonia (ICD-9 code 507) to any of the ICD-9 code/pharmacy combinations increased the number of cases but decreased the overall PPV. Allowing COPD exacerbation in the primary position improved the PPV among the uninfected group only (to 76%). More PWH than uninfected patients underwent microbiologic evaluation or had respiratory samples submitted. Conclusions ICD-9 code-based algorithms perform similarly to identify CAP in PLWH and uninfected individuals. Adding antimicrobial use data and allowing as primary diagnoses ICD-9 codes frequently used in patients with CAP improved the performance of the algorithms in both groups of patients. The algorithms consistently performed better among PWH.

Smoking is highly prevalent among people living with HIV (PLWH) and increases cardiovascular risk. Pharmacotherapies such as nicotine replacement therapy (NRT), bupropion, and varenicline help to reduce smoking, though rates of receipt among PLWH compared with HIV-uninfected persons are unknown. Among 814 PLWH and 908 uninfected patients enrolled in the Veterans Aging Cohort Study (2012-2017) who reported current smoking, we used marginal multivariable log-linear regression models to estimate adjusted relative risks (ARR) of receiving pharmacotherapy by HIV status. We also assessed patient-level factors associated with pharmacotherapy receipt within each group. In multivariable analyses, receipt of NRT was less likely among PLWH relative to uninfected participants (ARR 0.77, 95% CI 0.67, 0.89). In both populations, documented mental health disorders and contemplation to quit were associated with greater likelihood of receiving pharmacotherapy. Further research is needed to explore potential treatment disparities.

A validated, scalable approach to characterizing (phenotyping) smoking status is needed to facilitate genetic discovery. Using established DNA methylation sites from blood samples as a criterion standard for smoking behavior, we compare three candidate electronic medical record (EMR) smoking metrics based on longitudinal EMR text notes. With data from the Veterans Aging Cohort Study (VACS), we employed a validated algorithm to translate each smoking-related text note into current, past or never categories. We compared three alternative summary characterizations of smoking: most recent, modal and trajectories using descriptive statistics and Spearman's correlation coefficients. Logistic regression and area under the curve analyses were used to compare the associations of these phenotypes with the DNA methylation sites, cg05575921 and cg03636183, which are known to have strong associations with current smoking. DNA methylation data were available from the VACS Biomarker Cohort (VACS-BC), a sub-study of VACS. We also considered whether the associations differed by the certainty of trajectory group assignment (

OBJECTIVES To investigate whether gender is associated with three recommended stages of the HIV care continuum and whether gender modifies known associations between level of alcohol use and HIV care among US veterans. DESIGN Retrospective cohort. METHODS Veterans Aging Cohort Study data were used to identify Veterans Health Administration (VA) patients with HIV and AUDIT-C alcohol screening from 1 February 2008 to 30 September 2014. Modified Poisson regression models estimated the relative risk and predicted prevalences of engagement in HIV care (documented CD4 cells/μl or viral load copies/ml lab values), ART treatment (at least one prescription), and viral suppression (HIV RNA

BACKGROUND AND AIMS Longitudinal electronic health record (EHR) data offer a large-scale, untapped source of phenotypical information on harmful alcohol use. Using established, alcohol-associated variants in the gene that encodes the enzyme alcohol dehydrogenase 1B (ADH1B) as criterion standards, we compared the individual and combined validity of three longitudinal EHR-based phenotypes of harmful alcohol use: Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) trajectories; mean age-adjusted AUDIT-C; and diagnoses of alcohol use disorder (AUD). DESIGN With longitudinal EHR data from the Million Veteran Program (MVP) linked to genetic data, we used two population-specific polymorphisms in ADH1B that are associated strongly with AUD in African Americans (AAs) and European Americans (EAs): rs2066702 (Arg369Cys, AAs) and rs1229984 (Arg48His, EAs) as criterion measures. SETTING United States Department of Veterans Affairs Healthcare System. PARTICIPANTS A total of 167 721 veterans (57 677 AAs and 110 044 EAs; 92% male, mean age = 63 years) took part in this study. Data were collected from 1 October 2007 to 1 May 2017. MEASUREMENTS Using all AUDIT-C scores and AUD diagnostic codes recorded in the EHR, we calculated age-adjusted mean AUDIT-C values, longitudinal statistical trajectories of AUDIT-C scores and ICD-9/10 diagnostic groupings for AUD. FINDINGS A total of 19 793 AAs (34.3%) had one or two minor alleles at rs2066702 [minor allele frequency (MAF) = 0.190] and 6933 EAs (6.3%) had one or two minor alleles at rs1229984 (MAF = 0.032). In both populations, trajectories and age-adjusted mean AUDIT-C were correlated (r = 0.90) but, when considered separately, highest score (8+ versus 0) of age-adjusted mean AUDIT-C demonstrated a stronger association with the ADH1B variants [adjusted odds ratio (aOR) 0.54 in AAs and 0.37 in AAs] than did the highest trajectory (aOR 0.71 in AAs and 0.53 in EAs); combining AUDIT-C metrics did not improve discrimination. When age-adjusted mean AUDIT-C score and AUD diagnoses were considered together, age-adjusted mean AUDIT-C (8+ versus 0) was associated with lower odds of having the ADH1B minor allele than were AUD diagnostic codes: aOR = 0.59 versus 0.86 in AAs and 0.48 versus 0.68 in EAs. These independent associations combine to yield an even lower aOR of 0.51 for AAs and 0.33 for EAs. CONCLUSIONS The age-adjusted mean AUDIT-C score is associated more strongly with genetic polymorphisms of known risk for alcohol use disorder than are longitudinal trajectories of AUDIT-C or AUD diagnostic codes. AUD diagnostic codes modestly enhance this association.

BACKGROUND: Among groups of persons living with HIV (PLWH), high-risk drinking trajectories are associated with HIV severity. Whether changes in individuals’ alcohol use are associated with changes in HIV severity over the same period is unknown. METHODS: Veterans Aging Cohort Study (VACS) data from VA’s EHR (2/1/2008–9/30/16) identified AUDITC screens for all PLWH. Pairs of AUDIT-C screens within 9–15 months were included if CD4 and/or viral load (VL) was measured within 9 months after baseline and follow-up AUDIT-Cs. Linear regression assessed change in HIV severity (CD4 and logVL) associated with AUDIT-C change adjusted for confounders. Mean changes in HIV severity were estimated for each AUDIT-C change value. For all measures of change, positive values indicate improvements (lower drinking and improved HIV severity). RESULTS: Among PLWH, 21,999 and 22,143 were eligible for CD4 and VL analyses, respectively. Most had non- or low-level drinking and stable consumption over time (mean AUDIT-C change=.08, SD=1.91). HIV severity improved over time [mean CD4 change=20.5 (SD 180.8); mean logVL change=0.12 (SD 0.71)]. AUDIT-C changes were associated non-linearly with changes in CD4 (p=0.03) and logVL (p

Background: Clinicopathological characteristics and prognosis for patients with HIV (PWH) and T-cell lymphomas (TCLs) in the current antiretroviral therapy (ART) era remains unknown. The primary objective of this study was to determine outcomes of patients with mature T and NK/T-cell lymphomas with and without HIV (PWoH) in North America. A secondary objective was to define variations in the survival of patients with TCLs and AIDS-defining B-cell lymphomas (A-BCLs) in the presence of ART. Methods: The study population included patients from two source populations, the NA-ACCORD (The North American AIDS Cohort Collaboration on Research and Design) and COMPLETE (Comprehensive Oncology Measures for Peripheral T-cell Lymphoma), both of which have been previously described. The NA-ACCORD collaborates with >20 longitudinal cohorts of adults (aged ≥ 18 years) with HIV in the United States and Canada. Within the NA-ACCORD cohort, we included patients with a validated incidental diagnosis of mature T and NK/TCL (n=52) or the most common A-BCLs including Burkitt's lymphoma (n=101), diffuse large B-cell lymphoma (DLBCL, n=500) and primary CNS lymphoma (PCNSL, n=64) between 1996 and 2016. COMPLETE is a prospective, multicenter cohort study of patients with newly diagnosed incidental mature TCLs in the United States between 2010 and 2014. Of the 452 eligible patients, 450 were included for analysis after exclusion of two patients with HIV infection. Patients were followed from diagnosis to the first of death, loss to follow-up or administrative censoring at 5 years. Kaplan-Meier and log-rank tests were used to estimate and compare survival. Results: At the time of TCL diagnosis, PWH were significantly younger than patients without HIV (PWoH) (49 years vs. 60 years respectively; p At the end of the 5-year follow-up period, the survival probability since TCL diagnosis was markedly lower at 0.32 (95% confidence interval [CI]: 0.21-0.49) among PWH in contrast to 0.45 (95% CI: 0.41-0.51) for PWoH. Specifically, survival probability since ALCL diagnosis was distinctively lower at 0.23 (95% CI: 0.11-0.47) among PWH in contrast to 0.76 (95% CI: 0.66-0.87) for PWoH. Mortality following lymphoma diagnosis was elevated for PWH vs. PWoH even after adjusting for statistically significant baseline clinical characteristics such as age, race, and ALCL status in multivariate analysis (adjusted HR: 1.92; 95% CI: 1.27, 2.91). Among PWH with TCL, CD4 500 (n=10) was associated with a lower survival relative to those with counts >200 and/or VL Conclusions: Our report based on two large observational cohorts in North America highlights poor outcomes for TCLs among PWH compared to PWoH. In addition, within the PWH group, our study is the first to delineate inferior survival for patients with ALCLs relative to DLBCL and Burkitt's lymphoma accentuating the need for novel therapies. However, the overall prognosis for these lymphomas among PWH has improved in the last two decades, particularly among those with CD4>200, underscoring the impact of early and sustained ART. Disclosures Alonso: Merck: Research Funding. Foss: Kyowa: Honoraria; Acrotech: Honoraria, Speakers Bureau; Seattle Genetics: Honoraria, Speakers Bureau; Mallinckrodt: Honoraria; Daiichi Sankyo: Honoraria; Kura: Honoraria. Jain: Trillium Therapeutics, Inc: Research Funding; Acro Biotech, Inc: Research Funding; Abcuro, Inc: Research Funding.

We examined the relationship between alcohol use trajectories and HIV disease severity among men and women participating in the Veterans Aging Cohort Study (VACS).Prospective cohort of HIV-infected persons in care at eight US Veterans Health Administration sites.Between 2002 and 2010, we assessed alcohol consumption annually using the alcohol use disorders identification test-consumption (AUDIT-C). HIV disease severity was ascertained using the VACS index, a validated measure of morbidity and all-cause mortality. We examined the relationship between alcohol use and HIV disease severity patterns using joint trajectory modeling. Alcohol use trajectories were validated using phosphatidylethanol - a biomarker of alcohol consumption - measured between 2005 and 2006 among a subset of participants. We examined associations between membership in alcohol use and VACS index trajectories using multinomial regression.Among eligible participants, we identified four alcohol consumption trajectories: abstainers (24% of the sample), lower risk (44%), moderate risk (24%), and higher risk drinkers (8%). Alcohol use trajectories were highly correlated with phosphatidylethanol (Cramér's V = 0.465, P 0.001): mean concentrations were 4.4, 17.8, 57.7, and 167.6 ng/ml in the abstainer, lower risk, moderate risk, and higher risk groups, respectively. Four VACS index trajectories were identified: low (2%), moderate (46%), high (36%), and extreme (16%). Higher risk drinkers were most common in the extreme VACS index group, and were absent in the low index group. In multivariable analysis, the association between alcohol use and VACS index trajectory membership remained significant (P = 0.002).Alcohol use trajectories characterized by persistent unhealthy drinking are associated with more advanced HIV disease severity among HIV-infected veterans in the United States.

BACKGROUND: Objective outcomes for measuring the physical health effects of substance use disorder treatment are needed. We compared the responsiveness of CD4, HIV-1 RNA and a biomarker index (VACS Index 2.0) to changes in opioid use among people with HIV (PWH) and uninfected individuals receiving opioid agonist treatment (OAT). METHODS: Electronic health record data were used to identify patients who received ≥90 days of OAT and had ≥1 urine toxicology test in the Veterans Aging Cohort Study. Trajectory models identified patterns of opioid urine toxicology results. We used linear regression adjusted for age and race/ethnicity to determine associations between opioid toxicology groups and biomarker changes from up to one-year pre OAT to 3–15 months after OAT initiation. RESULTS: Among 266 with detectable HIV-1 RNA, 366 with suppressed HIV-1 RNA, and 1183 uninfected patients, we identified five opioid toxicology groups ranging from consistently negative (54%) to consistently positive (9%). Among PWH with detectable HIV-1 RNA, all three biomarkers improved more for those consistently negative compared to those consistently positive (all p≤.05). Among PWH with suppressed HIV-1 RNA, CD4 improved for those consistently negative; and worsened for those in the slow decrease toward negative group (p=.04). Among those uninfected, VACS Index 2.0 did not differ by opioid toxicology groups. CONCLUSIONS: Among patients on OAT, changes in biomarkers are associated with opioid toxicology groups among PWH, but vary by HIV-1 RNA. These findings may be useful for measuring the health effects of OAT.

We contrast three types of abstinence: quit after alcohol associated problems (Q-AP), quit for other reasons (Q-OR), and lifetime abstainer (LTA). We summarized the characteristics of people living with HIV (PLWH), and matched uninfected individuals, by levels of alcohol use and types of abstinence. We then identified factors that differentiate abstinence and determined whether the association with an alcohol biomarker or a genetic polymorphism is improved by differentiating abstinence. Among abstainers, 34% of PLWH and 38% of uninfected were Q-AP; 53% and 53% were Q-OR; and 12% and 10% were LTA. Logistic regression models found smoking, alcohol, cocaine, and hepatitis C increased odds of Q-AP, whereas smoking and marijuana decreased odds of LTA. Differentiating types of abstinence improved association. Q-APs and LTAs can be readily differentiated by an alcohol biomarker and genetic polymorphism. Differentiating type of abstinence may enhance understanding of alcohol health effects.

BACKGROUND Alcohol use influences HIV disease severity through multiple mechanisms. Whether HIV disease severity is sensitive to changes in alcohol use among people with HIV (PWH) is understudied. SETTING National Veterans Health Administration. METHODS Pairs of AUDIT-C screens within 9-15 months (February 1, 2008-September 30, 2014) were identified among PWH from the Veterans Aging Cohort Study (VACS). Initial and follow-up VACS Index 2.0 pairs obtained 0-270 days after initial and follow-up AUDIT-Cs, respectively, determined change in VACS Index 2.0, a composite HIV severity measure. Change in VACS Index 2.0 was regressed on AUDIT-C change scores (-12 to +12) adjusted for demographics, initial VACS Index 2.0, and days between VACS Index measures. RESULTS Among 23,297 PWH (76,202 observations), most had no (51%) or low-level (38%) alcohol use initially. Most (54%) had no subsequent change; 21% increased and 24% decreased drinking. Initial VACS Index 2.0 scores ranged from 0 to 134, change scores ranged from -65 to +73, with average improvement of 0.76 points (SD 9.48). AUDIT-C change was associated with VACS Index 2.0 change (P < 0.001). Among those with stable alcohol use (AUDIT-C change ≤ │1│ point), VACS Index 2.0 improvements ranged 0.36-0.60 points. For those with maximum AUDIT-C increase (change from 0 to 12), VACS Index 2.0 worsened 3.74 points (95% CI: -4.71 to -2.78); for those with maximum AUDIT-C decrease (change from 12 to 0), VACS Index 2.0 changed minimally [-0.60 (95% CI: -1.43 to 0.23)]. CONCLUSIONS In this national sample, improvement in HIV severity was generally greatest among those with stable alcohol use (primarily those with no use).

BACKGROUND: Substance use disorders (SUDs) are common in healthcare settings and contribute to poor outcomes, particularly in patients living with HIV. We assessed initiation, engagement, and retention in SUD treatment and pharmacotherapy following an index SUD episode in a national sample of HIV-infected and uninfected patients receiving care in the Department of Veterans Affairs (VA) healthcare system. METHODS: We used electronic national VA data (years 2000-2015) from 52,995 HIV-infected and 111,229 age-, race-, gender-, and region-matched uninfected patients. We defined index SUD episodes as outpatient visits or inpatient/residential admissions with associated primary or secondary ICD-9 codes for substance use in patients without SUD-related services or pharmacotherapy in the preceding 5 months. RESULTS: Overall, 57,428 (35%) patients had at least 1 index SUD episode. HIV-infected patients were more likely than uninfected controls to have at least one index SUD episode (35.7% vs. 34.6%; p < .001). Rates of initiation, engagement, and retention in SUD treatment after the index SUD episode were less than 17% for both groups. In adjusted models, HIV-infected patients were more likely than uninfected patients to be retained in SUD treatment at 6 months (Odds Ratio 1.10; 95% Confidence Interval 1.04-1.16). SUD pharmacotherapy initiation and engagement was uncommon in both HIV-infected and uninfected patients. CONCLUSIONS: In this national VA sample, initiation of SUD treatment and pharmacotherapy were uncommon for both HIV-infected and uninfected patients. Interventions to improve initiation, engagement, and retention in the full range of services, including SUD pharmacotherapy, is warranted for all patients with SUD in the VA.

Here we report a large genome-wide association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Million Veteran Program (MVP) where we identified 18 loci for smoking trajectory of current versus never in European Americans, one locus in African Americans, and one in Hispanic Americans. Functional annotations prioritized several dozen genes where significant loci co-localized with either expression quantitative trait loci or chromatin interactions. The smoking trajectories were genetically correlated with 209 complex traits, for 33 of which smoking was either a causal or a consequential factor. We also performed European-ancestry meta-analyses for smoking status in the MVP and GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN) (Ntotal = 842,717) and identified 99 loci for smoking initiation and 13 loci for smoking cessation. Overall, this large GWAS of longitudinal smoking phenotype in multiple populations, combined with a meta-GWAS for smoking status, adds new insights into the genetic vulnerability for smoking behavior., Genome-wide association studies (GWASs) for cigarette smoking have identified several hundred loci that account for a small proportion of the overall genetic risk. Here, the authors report a large GWAS for smoking trajectories and meta-analysis for smoking status, finding multiple plausible loci.

We evaluated associations between levels of alcohol use and HIV care continuum components using national Veterans Aging Cohort Study data for all patients with HIV and AUDIT-C screening (2/1/2008-9/30/2014). Poisson regression models evaluated associations between alcohol use levels (non-drinking, low-, medium-, high-, and very high-level drinking) and: (1) engagement with care (documented CD4 cells/µl or viral load copies/ml labs), (2) ART treatment (≥ 1 prescription), and (3) viral suppression (HIV RNA

Background Depletion of naïve CD4+ T cells and elevated adaptive immune activation are hallmarks of HIV infection. Higher proportions of memory CD4+ T cells are associated with prevalent diabetes in the general population, but few studies of persons with HIV (PWH) exist. Methods We analyzed data from 1532 PWH and 836 uninfected veterans in the longitudinal Veterans Aging Cohort Study (VACS), which archived peripheral mononuclear cells from these veterans between 2005 and 2007. We used flow cytometry to phenotype CD4+ and CD8+ T cells, including naïve, activated CD38+, senescent CD57+, total memory, and memory subsets. Prevalent diabetes (at blood collection) was identified in the VA electronic medical record using random glucose, hemoglobin A1c, ICD-9 codes, and medication. Cases were validated by two-physician chart review. We used multivariate logistic regression models adjusted for age, gender, body mass index, race/ethnicity, unhealthy alcohol use, hepatitis C, CMV status, and viral suppression stratified by HIV status to identify T-cell subsets associated with diabetes in PWH and uninfected. Results The cohort was 95% male, 68% African-American, and 22% diabetic. Higher CD4+CD45RO+ memory T cells were associated with prevalent diabetes in the uninfected and in PWH (P = 0.03 and P = 0.07, respectively; Figure A). Among subsets, diabetes was associated with higher transitional memory CD4+ T cells in the uninfected (P = 0.01), but higher central memory cells (P = 0.02) and lower effector memory cells (P = 0.04) in PWH. T effector memory RA+ cells were not associated with diabetes. Lower senescent CD4+CD57+ T cells were associated with diabetes in both PWH and uninfected (P = 0.03 and P = 0.04, respectively; Figure B), but results for naïve CD8+ T cells diverged: diabetes was associated with higher naïve CD8+cells in PWH but lower in uninfected (P = 0.01 and P < 0.01, respectively; Figure C). We assessed interaction by HIV status in a pooled model, which was only significant for the naïve CD8+ T cells (P = 0.01). Conclusion The adaptive immune profile associated with prevalent diabetes was similar by HIV status and characterized by a shift in CD4+ T cells from senescent to memory phenotypes, suggesting that chronic immune activation contributes to the higher risk of diabetes in PWH. Disclosures All authors: No reported disclosures.

Author(s): Attia, Engi F; McGinnis, Kathleen A; Feemster, Laura C; Akgun, Kathleen M; Butt, Adeel A; Graber, Christopher J; Fine, Michael J; Goetz, Matthew B; Rodriguez-Barradas, Maria C; Pisani, Margaret A; Tindle, Hilary A; Brown, Sheldon T; Soo Hoo, Guy W; Rimland, David; Gibert, Cynthia L; Huang, Laurence; Freiberg, Matthew S; Hough, Catherine L; Crothers, Kristina | Abstract: BackgroundPulmonary infections remain more common in HIV-infected (HIV+) compared with uninfected individuals. The increase in chronic lung diseases among aging HIV+ individuals may contribute to this persistent risk. We sought to determine whether chronic obstructive pulmonary disease (COPD) is an independent risk factor for different pulmonary infections requiring hospitalization among HIV+ patients.MethodsWe analyzed data from 41,993 HIV+ Veterans in the nationwide Veterans Aging Cohort Study Virtual Cohort from 1996 to 2009. Using International Classification of Diseases, Ninth Revision codes, we identified baseline comorbid conditions, including COPD, and incident community-acquired pneumonia (CAP), pulmonary tuberculosis (TB), and Pneumocystis jirovecii pneumonia (PCP) requiring hospitalization within 2 years after baseline. We used multivariable Poisson regression to determine incidence rate ratios (IRRs) associated with COPD for each type of pulmonary infection, adjusting for comorbidities, CD4 cell count, HIV viral load, smoking status, substance use, vaccinations, and calendar year at baseline.ResultsUnadjusted incidence rates of CAP, TB, and PCP requiring hospitalization were significantly higher among persons with COPD compared to those without COPD (CAP: 53.9 vs. 19.4 per 1000 person-years; TB: 8.7 vs. 2.8; PCP: 15.5 vs. 9.2; P ≤ 0.001). In multivariable Poisson regression models, COPD was independently associated with increased risk of CAP, TB, and PCP (IRR: 1.94, 95% confidence interval [CI]: 1.64 to 2.30; IRR: 2.60, 95% CI: 1.70 to 3.97; and IRR: 1.48, 95% CI: 1.10 to 2.01, respectively).ConclusionsCOPD is an independent risk factor for CAP, TB, and PCP requiring hospitalization among HIV+ individuals. As the HIV+ population ages, the growing burden of COPD may confer substantial risk for pulmonary infections.

BACKGROUND:The Patient Protection and Affordable Care Act encourages healthcare systems to track quality-of-care measures; little is known about their impact on mortality rates. The objective of this study was to assess associations between HIV quality of care and mortality rates. METHODS:A longitudinal survival analysis of the Veterans Aging Cohort Study included 3038 human immunodeficiency virus (HIV)-infected patients enrolled between June 2002 and July 2008. The independent variable was receipt of ≥80% of 9 HIV quality indicators (QIs) abstracted from medical records in the 12 months after enrollment. Overall mortality rates through 2014 were assessed from the Veterans Health Administration, Medicare, and Social Security National Death Index records. We assessed associations between receiving ≥80% of HIV QIs and mortality rates using Kaplan-Meier survival analysis and adjusted Cox proportional hazards models. Results were stratified by unhealthy alcohol and illicit drug use. RESULTS:The majority of participants were male (97.5%) and black (66.8%), with a mean (standard deviation) age of 49.0 (8.8) years. Overall, 25.9% reported past-year unhealthy alcohol use and 28.4% reported past-year illicit drug use. During 24 805 person-years of follow-up (mean [standard deviation], 8.2 [3.3] years), those who received ≥80% of QIs experienced lower age-adjusted mortality rates (adjusted hazard ratio, 0.75; 95% confidence interval, .65-.86). Adjustment for disease severity attenuated the association. CONCLUSIONS:Receipt of ≥80% of select HIV QIs is associated with improved survival in a sample of predominantly male, black, HIV-infected patients but was insufficient to overcome adjustment for disease severity. Interventions to ensure high-quality care and address underlying chronic illness may improve survival in HIV-infected patients.