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IntroductionUnhealthy alcohol use is associated with a range of adverse outcomes among people with HIV (PWH). Testing the efficacy and promoting the availability of effective interventions to address unhealthy alcohol use among PWH is thus a priority. Alcohol use outcomes in intervention studies are often measured by self-report alone, which can lead to spurious results due to information biases (eg, social desirability). Measuring alcohol outcomes objectively through biomarkers, such as phosphatidylethanol (PEth), in addition to self-report has potential to improve the validity of intervention studies. This protocol outlines the methods for a systematic review and individual participant data meta-analysis that will estimate the efficacy of interventions to reduce alcohol use as measured by a combined categorical self-report/PEth variable among PWH and compare these estimates to those generated when alcohol is measured by self-report or PEth alone.Methods and analysisWe will include randomised controlled trials that: (A) tested an alcohol intervention (behavioural and/or pharmacological), (B) enrolled participants 15 years or older with HIV; (C) included both PEth and self-report measurements, (D) completed data collection by 31 August 2023. We will contact principal investigators of eligible studies to inquire about their willingness to contribute data. The primary outcome variable will be a combined self-report/PEth alcohol categorical variable. Secondary outcomes will include PEth alone, self-report alone and HIV viral suppression. We will use a two-step meta-analysis and random effects modelling to estimate pooled treatment effects; I2 will be calculated to evaluate heterogeneity. Secondary and sensitivity analyses will explore treatment effects in adjusted models and within subgroups. Funnel plots will be used to explore publication bias.Ethics and disseminationThe study will be conducted with deidentified data from completed randomised controlled trials and will be considered exempt from additional ethical approval. Results will be disseminated through peer-reviewed publications and international scientific meetings.Prospero registration numberCRD42022373640.

To characterize perspectives and experiences with telemedicine during the COVID-19 pandemic, we conducted a mixed-methods study in two HIV clinics in the US Northeast. Among surveyed patients with HIV (PWH) who had a telemedicine appointment (n = 205), 42.4% perceived telemedicine visits as useful during the pandemic. PWH and clinical staff identified benefits of telemedicine: (1) ability to engage and re-engage patients in care; (2) perceived patient-centeredness and flexibility; (3) opportunity to engage family and multidisciplinary care team members; and (4) opportunity to enhance telemedicine use proficiency through practice and support. Identified barriers included: (1) technical challenges; (2) privacy concerns; (3) loss of routine clinical experiences and interactions; (4) limited objective patient remote monitoring; and (5) reimbursement concerns. Efforts to optimize telemedicine for HIV care should consider strategies to improve technology support for PWH, flexible options to access care, additional platforms to allow patient remote monitoring, and appropriate billing and reimbursement methods.Para caracterizar las perspectivas sobre y las experiencias con la telemedicina durante la pandemia de COVID-19, realizamos un estudio de métodos mixtos en dos clínicas de VIH en el noreste de los Estados Unidos. Entre los pacientes con VIH (PWH) encuestados que tuvieron una cita de telemedicina (n = 205), el 42.4% percibió las visitas de telemedicina como útiles durante la pandemia. Los PWH y el personal clínico identificaron como beneficios de la telemedicina: 1) la capacidad para involucrar y reinvolucrar a los pacientes en el cuidado; 2) el cuidado centrado en el paciente y flexibilidad percibidos; 3) la oportunidad de involucrar a la familia y miembros del equipo de cuidado multidisciplinario; y 4) la oportunidad de mejorar la capacidad para usar la telemedicina a través de la práctica y el apoyo. Las barreras identificadas incluyeron: 1) retos tecnológicos; 2) preocupaciones sobre la privacidad; 3) falta de experiencias e interacciones clínicas de rutina; 4) limitada monitorización remota objetiva del paciente; y 5) preocupaciones sobre los reembolsos. Los esfuerzos para optimizar la telemedicina para el cuidado del VIH deben considerar estrategias para mejorar el soporte tecnológico para los PWH, opciones flexibles para acceder a el cuidado, plataformas adicionales que permitan el monitoreo remoto del paciente, y métodos apropiados de facturación y reembolso.

BACKGROUND: Buprenorphine, approved for treating opioid use disorder (OUD), is not equally efficacious for all patients. Candidate gene studies have shown limited success in identifying genetic moderators of buprenorphine treatment response. METHODS: We studied 1616 European-ancestry individuals enrolled in the Million Veteran Program, of whom 1609 had an ICD-9/10 code consistent with OUD, a 180-day buprenorphine treatment exposure, and genome-wide genotype data. We conducted a genome-wide association study (GWAS) of buprenorphine treatment response [defined as having no opioid-positive urine drug screens (UDS) following the first prescription]. We also examined correlates of buprenorphine treatment response in multivariable analyses. RESULTS: Although no variants reached genome-wide significance, 6 loci were nominally significant (p < 1 × 10-5), four of which were located near previously characterized genes: rs756770 (ADAMTSL2), rs11782370 (SLC25A37), rs7205113 (CRISPLD2), and rs13169373 (LINC01947). A higher maximum daily buprenorphine dosage (aOR = 0.98; 95 %CI: 0.97, 0.995), greater number of UDS (aOR = 0.97; 95 %CI: 0.96, 0.99), and history of hepatitis C (HCV) infection (aOR = 0.71; 95 %CI: 0.57, 0.88) were associated with a reduced odds of buprenorphine response. Older age (aOR: 1.01; 95 %CI: 1.000, 1.02) was associated with increased odds of buprenorphine response. CONCLUSIONS: This study had limited statistical power to detect genetic variants associated with a complex human phenotype like buprenorphine treatment response. Meta-analysis of multiple data sets is needed to ensure adequate statistical power for a GWAS of buprenorphine treatment response. The most robust phenotypic predictor of buprenorphine treatment response was intravenous drug use, a proxy for which was HCV infection.

OBJECTIVE: The COVID-19 pandemic has dramatically impacted healthcare delivery and these effects are juxtaposed with healthcare professional (HCP) burnout and mental distress. The Opioid Use Disorder Provider COVID-19 Survey was conducted to better understand impacts on clinical practice and well-being. METHODS: The cross-sectional survey was emailed to listservs with approximately 127,000 subscribers of diverse professions between July 14 and August 15, 2020. Two dependent variables were identified to evaluate HCP functioning and work-life balance. Independent variables assessed organizational practices and HCP experiences. Covariates included participant demographics, addiction board certification, and practice setting. Multilevel multivariate logistic regression models were used for analyses. RESULTS: Among 812 respondents, the majority were men, white, and physicians, with 46% in urban settings. Function-impairing anxiety was reported by 17% and 28% reported more difficulty with work-life balance. Difficulty with functioning was positively associated with having staff sick with COVID-19 and feeling closer to patients, and was negatively associated with being male and no staff changes. Difficulty with work-life balance was positively associated with addiction board certification, working in multiple settings, having layoffs/furloughs or reduced hours, staff sick with COVID-19, and group wellness check-ins, and was negatively associated with male gender, older age, and no staff changes. CONCLUSIONS: There were demographic, provider, and organizational practice variables associated with reporting negative measures of well-being during the COVID-19 pandemic. These results should inform HCPs and their organizations on factors that may lead to burnout, with particular focus on gender and age-related concerns and the role of wellness check-ins.

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

ObjectivesPeople with HIV (PWH) have a high burden of bacterial sexually transmitted infections (STIs). We examined the relationship of alcohol and drug use and partner pre-exposure prophylaxis (PrEP) use to STI prevalence in a cohort of PWH with a history of unhealthy alcohol use.MethodsWe analysed data from a primary care-based alcohol intervention study at Kaiser Permanente Northern California (KPNC). Participants were recruited between April 2013 and May 2015 and were followed for up to 24 months. We linked participant responses to questions from the 24 month follow-up interview, including alcohol and drug use and partner PrEP use, with STI test results (ie, syphilis, chlamydia, gonorrhoea) in the KPNC electronic health record. Prevalence ratios (PR) were estimated using Poisson models fitted with robust variance estimators to evaluate the association of substance use and partner use of PrEP with STIs.ResultsIn the analytic sample (n=465), the median age was 52 years (IQR 45-59); 67% were white; 95% were men who have sex with men. Thirty-two per cent of participants had HIV-positive partners only; 31% had HIV-negative partners with at least one on PrEP in the previous year and 37% had HIV-negative partners without any on PrEP. Twenty-three per cent reported alcohol and drug use prior to sex in the last 6 months. Eight per cent of participants had an STI. Partner PrEP use (adjusted PR (aPR) 2.99 (95% CI 1.11 to 8.08)) was independently associated with higher STI prevalence. Participants who reported use of alcohol (aPR 1.53 (0.61 to 3.83)), drugs (aPR 1.97 (0.71 to 5.51)) or both (aPR 1.93 (0.75 to 4.97)) prior to sex had a higher STI prevalence.ConclusionsThe higher prevalence of STIs among PWH with unhealthy alcohol use who have partners on PrEP suggests that this subgroup may be a high-yield focus for targeted outreach, STI screening and sexual health counselling.

BACKGROUND: No prior studies have characterized long-term patterns of opioid use regardless of source or reason for use among patients with HIV (PWH). We sought to identify trajectories of self-reported opioid use and their correlates among a national sample of PWH engaged in care. SETTING: Veterans Aging Cohort Study, a prospective cohort including PWH receiving care at 8 US Veterans Health Administration (VA) sites. METHODS: Between 2002 and 2018, we assessed past year opioid use frequency based on self-reported "prescription painkillers" and/or heroin use at baseline and follow-up. We used group-based trajectory models to identify opioid use trajectories and multinomial logistic regression to determine baseline factors independently associated with escalating opioid use compared to stable, infrequent use. RESULTS: Among 3702 PWH, we identified 4 opioid use trajectories: (1) no lifetime use (25%); (2) stable, infrequent use (58%); (3) escalating use (7%); and (4) de-escalating use (11%). In bivariate analysis, anxiety; pain interference; prescribed opioids, benzodiazepines and gabapentinoids; and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use. In multivariable analysis, illness severity, pain interference, receipt of prescribed benzodiazepine medications, and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use. CONCLUSION: Among PWH engaged in VA care, 1 in 15 reported escalating opioid use. Future research is needed to understand the impact of psychoactive medications and marijuana use on opioid use and whether enhanced uptake of evidence-based treatment of pain and psychiatric symptoms can prevent escalating use among PWH.

Additional file 1: Table S1 Drinking and HIV-related outcomes by treatment group. Table S2 Participant baseline demographic and clinical characteristics associated with treatment response.

A better understanding of predisposition to transition to high-dose, long-term opioid therapy after initial opioid receipt could facilitate efforts to prevent opioid use disorder (OUD). We extracted data on 69,268 patients in the Veterans Aging Cohort Study who received any opioid prescription between 1998 and 2015. Using latent growth mixture modelling, we identified four distinguishable dose trajectories: low (53%), moderate (29%), escalating (13%), and rapidly escalating (5%). Compared to low dose trajectory, those in the rapidly escalating dose trajectory were proportionately more European-American (59% rapidly escalating vs. 38% low); had a higher prevalence of HIV (31% vs. 29%) and hepatitis C (18% vs. 12%); and during follow-up, had a higher incidence of OUD diagnoses (13% vs. 3%); were hospitalised more often [18.1/100 person-years (PYs) vs. 12.5/100 PY]; and had higher all-cause mortality (4.7/100 PY vs. 1.8/100 PY, all p

BackgroundFor people living with HIV (PLWH), alcohol use is harmful and may be influenced by unique challenges faced by PLWH living in rural areas. We describe patterns of alcohol use across rurality among PLWH.MethodsVeterans Aging Cohort Study electronic health record data were used to identify patients with HIV (ICD-9 codes for HIV or AIDS) who completed AUDIT-C alcohol screening between February 1, 2008, and September 30, 2014. Regression models estimated and compared 4 alcohol use outcomes (any use [AUDIT-C > 0] and alcohol use disorder [AUD; ICD-9 codes for abuse or dependence] diagnoses among all PLWH, and AUDIT-C risk categories: lower- [1-3 men/1-2 women], moderate- [4-5 men/3-5 women], higher- 6-7]), and severe-risk [8-12], and heavy episodic drinking (HED; ≥1 past-year occasion) among PLWH reporting use) across rurality (urban, large rural, small rural) and census-defined region.FindingsAmong 32,699 PLWH (29,540 urban, 1,301 large rural, and 1,828 small rural), both any alcohol use and AUD were highest in urban areas, although this varied across region. Predicted prevalence of any alcohol use was 54.1% (53.5%-54.7%) in urban, 49.6% (46.9%-52.3%) in large rural, and 50.6% (48.3%-52.9%) in small rural areas (P < .01). Predicted prevalence of AUD was 14.4% (14.0%-14.8%) in urban, 11.8% (10.0%-13.5%) in large rural, and 12.3% (10.8%-13.8%) in small rural areas (P < .01). Approximately 12% and 25% had higher- or severe-risk drinking and HED, respectively, but neither differed across rurality.ConclusionThough some variation across rurality and region was observed, alcohol-related interventions are needed for PLWH across all geographic locations.

ObjectivesTo 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.DesignRetrospective cohort.MethodsVeterans 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

BackgroundChronic pain occurs in up to 85% of persons living with HIV and is commonly treated with long-term opioid therapy (LTOT). We investigated the impact of chronic pain and LTOT on HIV outcomes.MethodsThis was prospective cohort study conducted between July 2015 and July 2016 in 5 HIV primary care clinics. Chronic pain was defined as ≥moderate pain for ≥3 months on the Brief Chronic Pain Questionnaire. Chronic pain and LTOT were assessed at an index visit. Suboptimal retention, defined as at least one "no-show" to primary care, and virologic failure were measured over the subsequent year. Multivariable logistic regression models were built for each outcome adjusting for site.ResultsAmong 2334 participants, 25% had chronic pain, 27% had suboptimal retention, 12% had virologic failure, and 19% were prescribed LTOT. Among individuals not on LTOT, chronic pain was associated with increased odds of suboptimal retention [adjusted odds ratio (aOR) 1.46, 95% confidence interval (CI): 1.10 to 1.93, P = 0.009] and virologic failure (aOR 1.97, 95% CI: 1.39 to 2.80, P < 0.001). Among individuals with chronic pain, there was no association between LTOT and retention, but LTOT was associated with lower rates of virologic failure (aOR 0.56, 95% CI: 0.33 to 0.96, P = 0.03).ConclusionsChronic pain in participants not on LTOT was associated with virologic failure. This reinforces the need to identify effective chronic pain treatments for persons living with HIV and investigate their impact on HIV outcomes. The apparent protective association between LTOT and virologic failure in those with pain merits further exploration.

BackgroundAmong 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.MethodsVeterans Aging Cohort Study (VACS) data from VA's EHR (2/1/2008-9/30/2016) identified AUDIT-C 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).ResultsAmong 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

We thank Ruan and colleagues for their letter and appreciate their comments regarding our recent study, which demonstrated an independent association between non-medical use of prescription opioids (NMUPO) and heroin initiation among US veterans.

Despite the Centers for Disease Control and Prevention recommendations for annual HIV testing of at-risk populations, including those with substance use disorders, there are no data on the human immunodeficiency virus (HIV) testing practices of buprenorphine-prescribing physicians.To describe HIV testing practices among buprenorphine-prescribing physicians.We conducted a cross-sectional survey of physicians enrolled in a national system to support buprenorphine prescribing between July and August 2008. The electronic survey included questions on demographics; clinical training and experience; clinical practice; patient characteristics; and physician screening practices, including HIV testing.Only 46% of 382 respondent physicians conducted HIV testing. On univariate analysis, physicians who conducted HIV testing were more likely to report addiction specialty training (33% vs 19%, P = 0.001), practicing in addiction settings (28% vs 16%, P = 0.006), and having treated more than 50 patients with buprenorphine (50% vs 31%, P0.0001) than those who did not. Compared with physicians who did not conduct HIV testing, physicians who conducted HIV testing had a lower proportion of buprenorphine patients who were white (75% vs 82%, P = 0.01) or dependent upon prescription opioids (57% vs 70%, P0.0001). In multivariate analysis, physicians who conducted HIV testing were more likely to have treated more than 50 patients with buprenorphine (odds ratio = 1.777, 95% CI 1.011-3.124) and had fewer patients dependent upon prescription opioids (odds ratio = 0.986 95% CI 0.975-0.998) than physicians who did not.Interventions to increase HIV testing among physicians prescribing buprenorphine are needed.