Global trends in CD4 count measurement and distribution at first antiretroviral treatment initiation.

BACKGROUND: While people with HIV (PWH) start antiretroviral treatment (ART) regardless of CD4 count, CD4 measurement remains crucial for detecting advanced HIV disease and evaluating ART programmes. We explored CD4 measurement (proportion of PWH with a CD4 result available) and prevalence of CD4 <200 cells/µL at ART initiation within the International epidemiology Databases to Evaluate AIDS (IeDEA) global collaboration. METHODS: We included PWH at participating ART programmes who first initiated ART at age 15-80 years during 2005-2019. We described proportions of PWH (i) with CD4 (measured within 6 months before to 2 weeks after ART initiation); and (ii) among those with a CD4, with CD4 <200; by year of ART initiation and region. RESULTS: We included 1,355,104 PWH from 42 countries in 7 regions; 63% were female. Median (interquartile range) age at ART initiation was 37 (31-44) in men and 32 (26-39) in women. CD4 measurement initially increased, or remained stable over time until around 2013, but then declined to low levels in some regions (Southern Africa, except South Africa: from 54 to 13%; East Africa 85 to 31%; Central Africa 72 to 20%; West Africa: 91 to 53%; and Latin America: 87 to 56%). Prevalence of CD4<200 declined over time in all regions, but plateaued after 2015 at ≥30%. CONCLUSIONS: CD4 measurement has declined sharply in recent years, especially in sub-Saharan Africa. Among those with a CD4, the prevalence of CD4 <200 remains concerningly high. Scaling up CD4 testing and securing adequate funding are urgent priorities.

Risk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis.

Importance: Hepatocellular carcinoma (HCC) is typically detected only at advanced stages when treatment options are limited. Most of the current HCC risk models focus on patients with viral hepatitis or diagnosed cirrhosis or require variables not routinely available in clinical care. Objective: To identify modifiable HCC risk factors in the general population and to develop a risk score to inform HCC screening and risk-factor modification interventions for high-risk individuals without viral hepatitis or decompensated cirrhosis. Design, Setting, and Participants: This cohort study analyzed demographic, clinical, laboratory, and diagnostic data from the US Department of Veterans Affairs (VA) electronic health records. Data were divided into development and validation samples. Veterans aged 30 to 95 years were included, and those with hepatitis B or C virus infection, hepatic decompensation, or prevalent HCC were excluded. Patients were followed up until the occurrence of HCC diagnosis, death, or December 31, 2021. A Cox proportional hazards regression model for 10-year risk of HCC was developed and used to create an HCC risk score, and performance in development and validation samples and in patient subgroups was evaluated. One outpatient visit date per person at least 18 months after VA entry, between October 1, 2007, and March 31, 2020, was randomly selected and used as the index date for the start of follow-up. Analyses were performed from March 2023 to May 2024. Exposures: Age, sex, race and ethnicity, body mass index, liver fibrosis (detected with Fibrosis-4 Index [FIB-4]), diabetes status, smoking status, and alcohol use. Main Outcomes and Measures: First HCC diagnosis during follow-up. This information was ascertained from VA national cancer registry topography and histology codes and from International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for the inpatient or outpatient visits. Results: This study of 6 509 288 veterans included 6 048 917 males (92.9%), with a median (IQR) age of 65 (54-74) years, who identified as being of Hispanic (5.3%), non-Hispanic Black (15.0%), non-Hispanic White (68.9%), or other (4.6%) race and ethnicity. Overall, 15 142 patients (0.2%) developed HCC, 69.5% of whom had FIB-4 of 3.25 or lower at baseline. While FIB-4 was the most important variable, age, sex, race and ethnicity, body mass index, diabetes, smoking, and alcohol use were also informative. Discrimination in the development sample was better than FIB-4 alone (C statistic, 0.83 [95% CI, 0.82-0.85] vs 0.79 [95% CI, 0.77-0.80]). The HCC risk score performed consistently well in the validation sample and in all subgroups. A FIB-4 threshold of 3.25 would screen 5.0% of the cohort at a cost of 28 false-positives for every true-positive; a model risk score of 58 would screen 4.7% of the cohort at a cost of 23 false-positives for every true-positive. Conclusions and Relevance: Results of this study suggest that a multivariable risk score that uses routinely available clinical data outperforms FIB-4 alone in identifying patients at risk of HCC who do not have viral hepatitis or hepatic decompensation at baseline.

A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV.

Inflammation underlies many conditions causing excess morbidity and mortality among people with HIV (PWH). A handful of single-trait epigenome-wide association studies (EWAS) have suggested that inflammation is associated with DNA methylation (DNAm) among PWH. Multi-trait EWAS may further improve statistical power and reveal pathways in common between different inflammatory markers. We conducted single-trait EWAS of three inflammatory markers (soluble CD14, D-dimers and interleukin-6) in the Veterans Aging Cohort Study (n = 920). The study population was all male PWH with an average age of 51 years, and 82.3% self-reported as Black. We then applied two multi-trait EWAS methods-CPASSOC and OmniTest-to combine single-trait EWAS results. CPASSOC and OmniTest identified 189 and 157 inflammation-associated DNAm sites, respectively, of which 112 overlapped. Among the identified sites, 56% were not significant in any single-trait EWAS. Top sites were mapped to inflammation-related genes including IFITM1, PARP9 and STAT1. These genes were significantly enriched in pathways such as "type I interferon signaling" and "immune response to virus." We demonstrate that multi-trait EWAS can improve the discovery of inflammation-associated DNAm sites, genes and pathways. These DNAm sites might hold the key to addressing persistent inflammation in PWH.

The Feasibility and Acceptability of a Clinical Pharmacist-delivered Intervention to Reduce Bothersome Health Symptoms from Polypharmacy and Alcohol Use and Communicate Risk among People with HIV: Pilot Study Protocol.

Among persons with HIV (PWH), unhealthy alcohol use and polypharmacy contribute to bothersome symptoms (e.g., fatigue, dizziness, memory loss). However, effective risk communication targeting these associations is challenging. The HIV and Alcohol Research center focused on Polypharmacy (HARP) is conducting a pilot study that will generate feasibility and acceptability data on a clinical pharmacist-delivered counseling intervention targeting the modification of unhealthy alcohol use and polypharmacy in PWH. Counseling is guided by the Information-Motivation-Behavioral Skills-Motivational Interviewing (IMB-MI) model. Herein, we describe the study protocol. This pilot uses a one-group pre-test/post-test design. We will recruit 50 participants from those who participated in the consented cohort of the Veterans Aging Cohort Study. Participants must be prescribed ≥ 5 long-term medications, have a self-reported Alcohol Use Disorders Identification Test score > 0, and be living with HIV. We will exclude those with moderate-severe alcohol use disorder as identified by an Alcohol Symptom Checklist score ≥ 4. Data are collected using three self-administered surveys (baseline, immediately after booster intervention, and 30-days post-intervention), two PEth blood tests (baseline, 30 days post-intervention), and medication data from the electronic health record (baseline). The intervention includes a 60-minute IMB-MI-based counseling session followed by a booster session 2 weeks later. Some participants will also be asked to participate in a qualitative interview to provide feedback on the intervention. The pilot investigates the impact of an intervention on alcohol consumption and the use of multiple medications among PWH, exploring how best to reduce bothersome symptoms, communicate risk, and support behavior change in this population.

RESUMEN: El consumo dañino de alcohol y la polifarmacia contribuyen a síntomas molestos (fatiga, mareos, pérdida de memoria) entre las personas con VIH (PCV). Pero es difícil comunicar el riesgo de estas asociaciones. El centro de HIV and Alcohol Research focused on Polypharmacy (HARP) produce un estudio piloto que investiga la viabilidad y aceptabilidad de una intervención asesoramiento proporcionada por farmacéuticos clínicos que enfoque en la modificación del consumo dañino de alcohol y la polifarmacia por PCV. El asesoramiento está guiado por el modelo de Information-Motivation-Behavioral Skills-Motivational Interviewing (IMB-MI). Este piloto utiliza un diseño de prueba-previa y posterior de un solo grupo. Reclutaremos a 50 participantes consentidas del Veteran's Aging Cohort Study (VACS). Ellos deben recetar ≥ 5 medicamentos a largo plazo, tener > 0 en la Prueba de Identificación de Trastornos por Consumo de Alcohol y vivir con VIH. Excluiremos los niveles moderados a severos identificado por la Lista de Verificación de Síntomas de alcohol ≥ 4. Los datos se recopilan mediante tres encuestas autoadministradas (inicial, después del refuerzo y 30 días después), dos pruebas de sangre (inicial y 30 días después) y datos de la historia clínica electrónica (inicial). La intervención consiste en una sesión de asesoramiento IMB-MI de 60 minutos seguida de otra sesión 2 semanas después. Haberá una entrevista cualitativa con algunos participantes. El piloto investiga el impacto de una intervención sobre el consumo de alcohol y la polifarmacia y explora la mejor manera de reducir los síntomas molestos, comunicar el riesgo y apoyar el cambio de comportamiento entre PCV.

Using phosphatidylethanol as an adjunct to self-reported alcohol use improves identification of liver fibrosis risk.

INTRODUCTION: Accurate assessment of alcohol use informs prevention and management of liver disease. We examined whether phosphatidylethanol (PEth, an alcohol metabolite) blood concentrations are associated with liver fibrosis risk independently of self-reported alcohol use, among persons with and without HIV. METHODS: We pooled individual-level data from 12 studies from the United States, Russia, Uganda, and South Africa with PEth, AUDIT-C (Alcohol Use Disorders Identification Test-Consumption), and FIB-4 measurements. We conducted mixed-effects logistic regression of the relationship between PEth and AUDIT-C as continuous variables (after checking linearity), with high FIB-4 (≥2.67). We divided PEth (range 0-1000) by 83.3 to put it on the same scale as AUDIT-C (0-12) to directly compare odds ratios. Adjusted models included sex, race/ethnicity, age, body mass index, HIV and virologic suppression status. RESULTS: Among 4,644 adults, the median age was 49 years (interquartile range [IQR]: 40-55), 998 (21%) were female, and 3,520 (76%) were living with HIV among whom 2,386 (68%) were virologically suppressed. Median PEth was 13 ng/mL (IQR: <8-132.0) and median AUDIT-C was 3 (IQR: 1-6); 554 (12%) had high FIB-4. The adjusted odds ratios per 83.3 ng/mL difference in PEth and one-unit difference in AUDIT-C with high FIB-4 were 1.15 (95%CI: 1.08-1.22) and 1.03 (95%CI: 1.00-1.07), respectively. Findings were similar when PEth and AUDIT-C were treated as categorical variables. CONCLUSIONS: PEth was independently associated with high FIB-4, with a larger odds ratio than that of the association of AUDIT-C. Use of PEth may improve identification of alcohol use and liver fibrosis prevention and management.

Integrated stepped alcohol treatment with contingency management for unhealthy alcohol use among people with HIV: A randomized controlled trial.

BACKGROUND: We examined the impact of integrated stepped alcohol treatment with contingency management (ISAT+CM) on alcohol abstinence among people with HIV (PWH) and unhealthy alcohol use. METHODS: In this multisite 24-week trial, we randomized PWH reporting untreated unhealthy alcohol use and with phosphatidylethanol (PEth) >20ng/mL to receive ISAT+CM or treatment as usual (TAU). Intervention: Step 1: Social worker-delivered CM; Step 2: Addiction physician management plus motivational enhancement therapy. Participants were advanced to step 2 at week 12 if they lacked evidence of abstinence over the prior 21 days. TAU: Health handout, and for those who met criteria for alcohol use disorder, a referral to substance use treatment. Primary outcome: self-reported abstinence over the past 21 days at week 24. RESULTS: We enrolled 120 PWH between January 5, 2018 and March 1, 2022. Mean age was 59 years, 96% were men, and 83% were Black. Eight percent were lost to follow-up. In the ISAT+CM group, 87% were advanced to Step 2. The posterior mean proportion of participants with self-reported abstinence at 24 weeks was higher among those randomized to ISAT+CM (posterior mean proportion 9% [95%CrI, 0%, 33%]) compared with TAU (posterior mean proportion 0.3 % [95%CrI, 0%, 4%]) (posterior mean treatment effect 9%, [95%CrI, 1%, 32%], the posterior probability of TAU being superior to ISAT+CM was <0.0001. DISCUSSION: ISAT+CM delivered in HIV clinics modestly increased self-reported 3-week abstinence among PWH. Our findings indicate a need for more effective treatments to promote abstinence and a potential role for ISAT+CM for reductions in alcohol use.

Associations Between Reductions in Depressive Symptoms and Reductions in Pain and Anxiety Symptoms and Substance Use: Emulation of a Randomized Trial.

Introduction: Depressive symptoms are linked with pain, anxiety, and substance use. Research estimating whether a reduction in depressive symptoms is linked to subsequent reductions in pain and anxiety symptoms and substance use is limited. Methods: Using data from the Veterans Aging Cohort Study, a multisite observational study of U.S. veterans, the authors used a target trial emulation framework to compare individuals with elevated depressive symptoms (Patient Health Questionnaire-9 score ≥ 10) who experienced reductions in depressive symptoms (Patient Health Questionnaire-9 score < 10) with those whose symptoms persisted (Patient Health Questionnaire-9 score ≥ 10) at the next follow-up visit (on average, 1 year later). Using inverse probability of treatment weighting, the authors estimated ORs and 95% CIs for associations between depressive symptom reduction status and improvement on the following: anxiety symptoms, pain symptoms, unhealthy alcohol use, and use of tobacco, cannabis, cocaine, and/or illicit opioids. Results: Reductions in depressive symptoms were associated with reductions in pain symptoms (OR=1.43, 95% CI=1.01, 2.02), anxiety symptoms (OR=2.50, 95% CI=1.63, 3.83), and illicit opioid use (OR=2.07, 95% CI=1.13, 3.81). Depressive symptom reductions were not associated with reductions in unhealthy alcohol use (OR=0.85, 95% CI=0.48, 1.52) or use of tobacco (OR=1.49, 95% CI=0.89, 2.48), cannabis (OR=1.07, 95% CI=0.63, 1.83), or cocaine (OR=1.28, 95% CI=0.73, 2.24). Conclusions: Reducing depressive symptoms may potentially reduce pain and anxiety symptoms and illicit opioid use. Future work should determine whether reductions achieved through antidepressant medications, behavioral therapy, or other means have comparable impact.

Evaluation of mean corpuscular volume among anemic people with HIV in North America following ART initiation.

BACKGROUND: Anemia is common and associated with increased morbidity among people with HIV (PWH). Classification of anemia using the mean corpuscular volume (MCV) can help investigate the underlying causative factors of anemia. We characterize anemia using MCV among PWH receiving antiretroviral therapy (ART), and identify the risk factors for normocytic, macrocytic, and microcytic anemias. METHODS: Including PWH with anemia (hemoglobin measure < 12.9 g/dL among men and < 11.9 g/dL among women) in the NA-ACCORD from 01/01/2007 to 12/31/2017, we estimated the annual distribution of normocytic (80-100 femtolitre (fL)), macrocytic (> 100 fL) or microcytic (< 80 fL) anemia based on the lowest hemoglobin within each year. Poisson regression models with robust variance and general estimating equations were used to estimate crude and adjusted prevalence ratios and 95% confidence intervals for risk factors for macrocytic (vs. normocytic) and microcytic (vs. normocytic) anemia stratified by sex. RESULTS: Among 37,984 hemoglobin measurements that identified anemia in 14,590 PWH, 27,909 (74%) were normocytic, 4257 (11%) were microcytic, and 5818 (15%) were macrocytic. Of the anemic PWH included over the study period, 1910 (13%) experienced at least one measure of microcytic anemia and 3208 (22%) at least one measure of macrocytic anemia. Normocytic anemia was most common among both males and females, followed by microcytic among females and macrocytic among males. Over time, the proportion of anemic PWH who have macrocytosis decreased while microcytosis increased. Macrocytic (vs. normocytic) anemia is associated with increasing age and comorbidities. With increasing age, microcytic anemia decreased among females but not males. A greater proportion of PWH with normocytic anemia had CD4 counts ≤ 200 cells/mm3 and had recently initiated ART. CONCLUSION: In anemic PWH, normocytic anemia was most common. Over time macrocytic anemia decreased, and microcytic anemia increased irrespective of sex. Normocytic anemia is often due to chronic disease and may explain the greater risk for normocytic anemia among those with lower CD4 counts or recent ART initiation. Identified risk factors for type-specific anemias including sex, age, comorbidities, and HIV factors, can help inform targeted investigation into the underlying causes.

THE ASSOCIATION OF ANEMIA WITH SURVIVAL AMONG PEOPLE WITH HIV FOLLOWING ANTIRETROVIRAL INITIATION IN THE NA-ACCORD 2007-2016.

BACKGROUND: Anemia is an independent predictor of mortality, which may be utilized as a signal of deteriorating health. We estimated the association between anemia severity categories and mortality following the initiation of antiretroviral therapy (ART) among people with HIV (PWH) in North America. METHODS: Within the NA-ACCORD, annual median hemoglobin measurements between 01/01/2007-12/31/2016 were categorized using World Health Organization criteria into mild (11.0-12.9g/dL men, 11.0-11.9g/dL women), moderate (8.0-10.9g/dL men/women) and severe (<8.0g/dL men/women) anemia. Discrete time-to-event analyses using complementary log-log link models estimated mortality hazards ratios adjusted for demographics, comorbidities, and HIV clinical markers with 95% confidence intervals for the association between anemia and mortality. RESULTS: Among 67,228 PWH contributing a total of 320,261 annual median hemoglobin measurements, 257,293 (80%) demonstrated no anemia, 44,041 (14%) mild, 18,259 (6%) moderate, and 668 (0.2%) severe anemia during follow-up. Mortality risk was 5.6-fold higher among PWH with (vs. without) anemia. The association was greater among males (aHR=5.8 [5.4, 6.2]) versus females (aHR=4.1 [3.2, 5.4]). Mortality risk was 3.8-fold higher among PWH with mild anemia, 13.7-fold higher with moderate anemia, and 34.5-fold higher with severe anemia (vs. no anemia). Median hemoglobin levels significantly declined within 4 years prior to death, with the maximum decrease the year prior to death. Macrocytic anemia was associated with an increased and microcytic anemia a decreased mortality risk (vs. normocytic anemia). CONCLUSIONS: Anemia among PWH who have initiated ART is an important predictive marker for mortality with macrocytic anemia having an increased and microcytic anemia a decreased association with mortality compared with normocytic anemia.

Does smoking cessation reduce other substance use, psychiatric symptoms, and pain symptoms? Results from an emulated hypothetical randomized trial of US veterans.

BACKGROUND: Quitting smoking may lead to improvement in substance use, psychiatric symptoms, and pain, especially among high-risk populations who are more likely to experience comorbid conditions. However, causal inferences regarding smoking cessation and its subsequent benefits have been limited. METHODS: We emulated a hypothetical open-label randomized control trial of smoking cessation using longitudinal observational data of HIV-positive and HIV-negative US veterans from 2003-2015 in the Veterans Aging Cohort Study. We followed individuals from the first time they self-reported current cigarette smoking (baseline). We categorized participants as quitters or non-quitters at the first follow-up visit (approximately 1 year after baseline). Using inverse probability weighting to adjust for confounding and selection bias, we estimated odds ratios for improvement of co-occurring conditions (unhealthy alcohol use, cannabis use, illicit opioid use, cocaine use, depressive symptoms, anxiety symptoms, and pain symptoms) at second follow-up (approximately 2 years after baseline) for those who quit smoking compared to those who did not, among individuals who had the condition at baseline. RESULTS: Of 4,165 eligible individuals (i.e., current smokers at baseline), 419 reported no current smoking and 2,330 reported current smoking at the first follow-up. Adjusted odds ratios (95% confidence intervals) for associations between quitting smoking and improvement of each condition at second follow-up were: 2.10 (1.01, 4.35) for unhealthy alcohol use, 1.75 (1.00, 3.06) for cannabis use, 1.10 (0.58, 2.08) for illicit opioid use, and 2.25 (1.20, 4.24) for cocaine use, 0.78 (0.44, 1.38) for depressive symptoms, 0.93 (0.58, 1.49) for anxiety symptoms, and 1.31 (0.84, 2.06) for pain symptoms. CONCLUSIONS: While a causal interpretation of our findings may not be warranted, we found evidence for decreased substance use among veterans who quit cigarette smoking but none for the resolution of psychiatric conditions or pain symptoms. Findings suggest the need for additional resources combined with smoking cessation to reduce psychiatric and pain symptoms for high-risk populations.

Discrimination of the Veterans Aging Cohort Study Index 2.0 for Predicting Cause-specific Mortality Among Persons With HIV in Europe and North America.

Background: Predicting cause-specific mortality among people with HIV (PWH) could facilitate targeted care to improve survival. We assessed discrimination of the Veterans Aging Cohort Study (VACS) Index 2.0 in predicting cause-specific mortality among PWH on antiretroviral therapy (ART). Methods: Using Antiretroviral Therapy Cohort Collaboration data for PWH who initiated ART between 2000 and 2018, VACS Index 2.0 scores (higher scores indicate worse prognosis) were calculated around a randomly selected visit date at least 1 year after ART initiation. Missingness in VACS Index 2.0 variables was addressed through multiple imputation. Cox models estimated associations between VACS Index 2.0 and causes of death, with discrimination evaluated using Harrell's C-statistic. Absolute mortality risk was modelled using flexible parametric survival models. Results: Of 59 741 PWH (mean age: 43 years; 80% male), the mean VACS Index 2.0 at baseline was 41 (range: 0-129). For 2425 deaths over 168 162 person-years follow-up (median: 2.6 years/person), AIDS (n = 455) and non-AIDS-defining cancers (n = 452) were the most common causes. Predicted 5-year mortality for PWH with a mean VACS Index 2.0 score of 38 at baseline was 1% and approximately doubled for every 10-unit increase. The 5-year all-cause mortality C-statistic was .83. Discrimination with the VACS Index 2.0 was highest for deaths resulting from AIDS (0.91), liver-related (0.91), respiratory-related (0.89), non-AIDS infections (0.87), and non-AIDS-defining cancers (0.83), and lowest for suicides/accidental deaths (0.65). Conclusions: For deaths among PWH, discrimination with the VACS Index 2.0 was highest for deaths with measurable physiological causes and was lowest for suicide/accidental deaths.

COVID-19 Breakthrough Infection after Vaccination and Substance Use Disorders: A Longitudinal Cohort of People with and without HIV Receiving Care in the United States Veterans Health Administration.

Research regarding HIV, substance use disorders (SUD), and SARS-CoV-2 infections after COVID-19 vaccination is limited. In the Veterans Aging Cohort Study (VACS)-HIV cohort, we followed vaccinated persons with HIV (PWH) and without HIV (PWoH) from 12/2020 to 3/2022 and linked SARS-CoV-2 test results for laboratory-confirmed breakthrough infection through 9/2022. We examined associations of substance use (alcohol use disorder [AUD], other SUD, smoking status) and HIV status and severity with breakthrough infections, using Cox proportional hazards regression hazard ratios (HR). To test for potential interactions between substance use and HIV, we fit survival models with a multiplicative interaction term. Among 24,253 PWH and 53,661 PWoH, 8.0% of PWH and 7.1% of PWoH experienced COVID-19 breakthrough. AUD (HR 1.42, 95% CI 1.32, 1.52) and other SUD (HR 1.49, 95% CI 1.39, 1.59) were associated with increased risk of breakthrough, and this was similar by HIV status (p-interaction > 0.09). Smoking was not associated with breakthrough. Compared to PWoH, PWH at all HIV severity levels had increased risk of breakthrough ranging from 9% for PWH with CD4 count ≥ 500 cells/µl (HR 1.09, 95% CI 1.02, 1.17) to 59% for PWH with CD4 count < 200 (HR 1.59, 95% CI 1.31, 1.92). Patients with AUD (HR 1.42, 95% CI 1.33, 1.52) and other SUD (HR 1.48, 95% CI 1.38, 1.59) had increased COVID-19 breakthrough risk, regardless of HIV status. HIV was associated with breakthrough; risk was greatest among PWH with lower CD4 count. In addition to inhibiting HIV treatment adherence and increasing HIV progression, AUD and other SUD may increase COVID-19 breakthrough risk.

Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.

Deciphering the genetic basis of prostate-specific antigen (PSA) levels may improve their utility for prostate cancer (PCa) screening. Using genome-wide association study (GWAS) summary statistics from 95,768 PCa-free men, we conducted a transcriptome-wide association study (TWAS) to examine impacts of genetically predicted gene expression on PSA. Analyses identified 41 statistically significant (p < 0.05/12,192 = 4.10 × 10-6) associations in whole blood and 39 statistically significant (p < 0.05/13,844 = 3.61 × 10-6) associations in prostate tissue, with 18 genes associated in both tissues. Cross-tissue analyses identified 155 statistically significantly (p < 0.05/22,249 = 2.25 × 10-6) genes. Out of 173 unique PSA-associated genes across analyses, we replicated 151 (87.3%) in a TWAS of 209,318 PCa-free individuals from the Million Veteran Program. Based on conditional analyses, we found 20 genes (11 single tissue, nine cross-tissue) that were associated with PSA levels in the discovery TWAS that were not attributable to a lead variant from a GWAS. Ten of these 20 genes replicated, and two of the replicated genes had colocalization probability of >0.5: CCNA2 and HIST1H2BN. Six of the 20 identified genes are not known to impact PCa risk. Fine-mapping based on whole blood and prostate tissue revealed five protein-coding genes with evidence of causal relationships with PSA levels. Of these five genes, four exhibited evidence of colocalization and one was conditionally independent of previous GWAS findings. These results yield hypotheses that should be further explored to improve understanding of genetic factors underlying PSA levels.

Contribution of Potentially Inappropriate Medications to Polypharmacy-Associated Risk of Mortality in Middle-Aged Patients: A National Cohort Study.

BACKGROUND: The role of potentially inappropriate medications (PIMs) in mortality has been studied among those 65 years or older. While middle-aged individuals are believed to be less susceptible to the harms of polypharmacy, PIMs have not been as carefully studied in this group. OBJECTIVE: To estimate PIM-associated risk of mortality and evaluate the extent PIMs explain associations between polypharmacy and mortality in middle-aged patients, overall and by sex and race/ethnicity. DESIGN: Observational cohort study. SETTING: Department of Veterans Affairs (VA), the largest integrated healthcare system in the US. PARTICIPANTS: Patients aged 41 to 64 who received a chronic medication (continuous use of ≥ 90 days) between October 1, 2008, and September 30, 2017. MEASUREMENT: Patients were followed for 5 years until death or end of study period (September 30, 2019). Time-updated polypharmacy and hyperpolypharmacy were defined as 5-9 and ≥ 10 chronic medications, respectively. PIMs were identified using the Beers criteria (2015) and were time-updated. Cox models were adjusted for demographic, behavioral, and clinical characteristics. RESULTS: Of 733,728 patients, 676,935 (92.3%) were men, 479,377 (65.3%) were White, and 156,092 (21.3%) were Black. By the end of follow-up, 104,361 (14.2%) patients had polypharmacy, 15,485 (2.1%) had hyperpolypharmacy, and 129,992 (17.7%) were dispensed ≥ 1 PIM. PIMs were independently associated with mortality (HR 1.11, 95% CI 1.04-1.18). PIMs also modestly attenuated risk of mortality associated with polypharmacy (HR 1.07, 95% CI 1.03-1.11 before versus HR 1.05, 95% CI 1.01-1.09 after) and hyperpolypharmacy (HR 1.18, 95% CI 1.09-1.28 before versus HR 1.12, 95% CI 1.03-1.22 after). Patterns varied when stratified by sex and race/ethnicity. LIMITATIONS: The predominantly male VA patient population may not represent the general population. CONCLUSION: PIMs were independently associated with increased mortality, and partially explained polypharmacy-associated mortality in middle-aged people. Other mechanisms of injury from polypharmacy should also be studied.

Severe Acute Liver Injury After Hepatotoxic Medication Initiation in Real-World Data.

Importance: Current approaches to classify the hepatotoxic potential of medications are based on cumulative case reports of acute liver injury (ALI), which do not consider the size of the exposed population. There is little evidence from real-world data (data relating to patient health status and/or the delivery of health care routinely collected from sources outside of a research setting) on incidence rates of severe ALI after initiation of medications, accounting for duration of exposure. Objective: To identify the most potentially hepatotoxic medications based on real-world incidence rates of severe ALI and to examine how these rates compare with categorization based on case reports. Design, Setting, and Participants: This series of cohort studies obtained data from the US Department of Veterans Affairs on persons without preexisting liver or biliary disease who initiated a suspected hepatotoxic medication in the outpatient setting between October 1, 2000, and September 30, 2021. Data were analyzed from June 2020 to November 2023. Exposures: Outpatient initiation of any one of 194 medications with 4 or more published reports of hepatotoxicity. Main Outcomes and Measures: Hospitalization for severe ALI, defined by either inpatient: (1) alanine aminotransferase level greater than 120 U/L plus total bilirubin level greater than 2.0 mg/dL or (2) international normalized ratio of 1.5 or higher plus total bilirubin level greater than 2.0 mg/dL recorded within the first 2 days of admission. Acute or chronic liver or biliary disease diagnosis recorded during follow-up or as a discharge diagnosis of a hospitalization for severe ALI resulted in censoring. This study calculated age- and sex-adjusted incidence rates of severe ALI and compared observed rates with hepatotoxicity categories based on cumulative published case reports. Results: The study included 7 899 888 patients across 194 medication cohorts (mean [SD] age, 64.4 [16.4] years, 7 305 558 males [92.5%], 4 354 136 individuals [55.1%] had polypharmacy). Incidence rates of severe ALI ranged from 0 events per 10 000 person-years (candesartan, minocycline) to 86.4 events per 10 000 person-years (stavudine). Seven medications (stavudine, erlotinib, lenalidomide or thalidomide, chlorpromazine, metronidazole, prochlorperazine, and isoniazid) exhibited rates of 10.0 or more events per 10 000 person-years, and 10 (moxifloxacin, azathioprine, levofloxacin, clarithromycin, ketoconazole, fluconazole, captopril, amoxicillin-clavulanate, sulfamethoxazole-trimethoprim, and ciprofloxacin) had rates between 5.0 and 9.9 events per 10 000 person-years. Of these 17 medications with the highest observed rates of severe ALI, 11 (64%) were not included in the highest hepatotoxicity category when based on case reports. Conclusions and Relevance: In this study, incidence rates of severe ALI using real-world data identified the most potentially hepatotoxic medications and can serve as a tool to investigate hepatotoxicity safety signals obtained from case reports. Case report counts did not accurately reflect the observed rates of severe ALI after medication initiation.

A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among people with HIV.

Inflammation underlies many conditions causing excess morbidity and mortality among people with HIV (PWH). A handful of single-trait epigenome-wide association studies (EWAS) have suggested that inflammation is associated with DNA methylation (DNAm) among PWH. Multi-trait EWAS may further improve statistical power and reveal pathways in common between different inflammatory markers. We conducted single-trait EWAS of three inflammatory markers (soluble CD14, D-dimers, and interleukin 6) in the Veteran Aging Cohort Study (n = 920). The study population was all male PWH with an average age of 51 years, and 82.3% self-reported as Black. We then applied two multi-trait EWAS methods-CPASSOC and OmniTest-to combine single-trait EWAS results. CPASSOC and OmniTest identified 189 and 157 inflammation-associated DNAm sites respectively, of which 112 overlapped. Among the identified sites, 56% were not significant in any single-trait EWAS. Top sites were mapped to inflammation-related genes including IFITM1, PARP9 and STAT1. These genes were significantly enriched in pathways such as "type I interferon signaling" and "immune response to virus". We demonstrate that multi-trait EWAS can improve the discovery of inflammation-associated DNAm sites, genes, and pathways. These DNAm sites suggest molecular mechanisms in response to inflammation associated with HIV and might hold the key to addressing persistent inflammation in PWH.

Identification of hepatic steatosis among persons with and without HIV using natural language processing.

BACKGROUND: Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis systematically within large clinical repositories of imaging reports. We validated the performance of an NLP algorithm for the identification of SLD in clinical imaging reports and applied this tool to a large population of people with and without HIV. METHODS: Patients were included in the analysis if they enrolled in the Veterans Aging Cohort Study between 2001 and 2017, had an imaging report inclusive of the liver, and had ≥2 years of observation before the imaging study. SLD was considered present when reports contained the terms "fatty," "steatosis," "steatotic," or "steatohepatitis." The performance of the SLD NLP algorithm was compared to a clinical review of 800 reports. We then applied the NLP algorithm to the first eligible imaging study and compared patient characteristics by SLD and HIV status. RESULTS: NLP achieved 100% sensitivity and 88.5% positive predictive value for the identification of SLD. When applied to 26,706 eligible Veterans Aging Cohort Study patient imaging reports, SLD was identified in 72.2% and did not significantly differ by HIV status. SLD was associated with a higher prevalence of metabolic comorbidities, alcohol use disorder, and hepatitis B and C, but not HIV infection. CONCLUSIONS: While limited to those undergoing radiologic study, the NLP algorithm accurately identified SLD in people with and without HIV and offers a valuable tool to evaluate the determinants and consequences of hepatic steatosis.

Candidate Genes from an FDA-Approved Algorithm Fail to Predict Opioid Use Disorder Risk in Over 450,000 Veterans.

Importance: Recently, the Food and Drug Administration gave pre-marketing approval to algorithm based on its purported ability to identify genetic risk for opioid use disorder. However, the clinical utility of the candidate genes comprising the algorithm has not been independently demonstrated. Objective: To assess the utility of 15 variants in candidate genes from an algorithm intended to predict opioid use disorder risk. Design: This case-control study examined the association of 15 candidate genetic variants with risk of opioid use disorder using available electronic health record data from December 20, 1992 to September 30, 2022. Setting: Electronic health record data, including pharmacy records, from Million Veteran Program participants across the United States. Participants: Participants were opioid-exposed individuals enrolled in the Million Veteran Program (n = 452,664). Opioid use disorder cases were identified using International Classification of Disease diagnostic codes, and controls were individuals with no opioid use disorder diagnosis. Exposures: Number of risk alleles present across 15 candidate genetic variants. Main Outcome and Measures: Predictive performance of 15 genetic variants for opioid use disorder risk assessed via logistic regression and machine learning models. Results: Opioid exposed individuals (n=33,669 cases) were on average 61.15 (SD = 13.37) years old, 90.46% male, and had varied genetic similarity to global reference panels. Collectively, the 15 candidate genetic variants accounted for 0.4% of variation in opioid use disorder risk. The accuracy of the ensemble machine learning model using the 15 genes as predictors was 52.8% (95% CI = 52.1 - 53.6%) in an independent testing sample. Conclusions and Relevance: Candidate genes that comprise the approved algorithm do not meet reasonable standards of efficacy in predicting opioid use disorder risk. Given the algorithm's limited predictive accuracy, its use in clinical care would lead to high rates of false positive and negative findings. More clinically useful models are needed to identify individuals at risk of developing opioid use disorder.

Self-injurious unnatural death among Veterans with HIV.

OBJECTIVE: People with HIV (PWH) are at an increased risk of suicide and death from unintentional causes compared with people living without HIV. Broadening the categorization of death from suicide to self-injurious unnatural death (SIUD) may better identify a more complete set of modifiable risk factors that could be targeted for prevention efforts among PWH. DESIGN: We conducted a nested case-control study using data from the Veterans Aging Cohort Study (VACS), a longitudinal, observational cohort of Veterans from 2006-2015. A total of 5036 Veterans with HIV, of whom 461 died by SIUD, were included in the sample. METHODS: SIUD was defined using the International Classification of Disease 10 th revision cause of death codes. Cases ( n  = 461) included individuals who died by SIUD (intentional, unintentional, and undetermined causes of death). Controls ( n  = 4575) were selected using incidence density sampling, matching on date of birth ± 1 year, race, sex, and HIV status. SIUD and suicide was estimated using conditional logistic regression. RESULTS: A previous suicide attempt, a diagnosis of an affective disorder, recent use of benzodiazepines, psychiatric hospitalization, and living in the western US significantly increased the risk of suicide and SIUD. Risk factors that appear more important for SIUD than for suicide included a drug use disorder, alcohol use disorder, Hepatitis C, VACS Index 2.0, current smoking, and high pain levels (7-10). CONCLUSION: Limiting studies to known suicides obscures the larger public health burden of excess deaths from self-injurious behavior. Our findings demonstrate the benefit of expanding the focus to SIUD for the identification of modifiable risk factors that could be targeted for treatment.