Severity and Number of Substances Used are Independently Associated with Antiretroviral Therapy Adherence Over Time among People with HIV in the Current Treatment Era.

Substance use is associated with decreased antiretroviral therapy (ART) adherence among people with HIV (PWH). Adherence plays a significant role in mediating the negative effects of substance use on HIV suppression and is a principal modifiable patient-level factor in improving HIV suppression and reducing ART drug resistance. Understanding substance use and ART adherence, particularly with rapidly changing substance use epidemiology and ART regimens, is vital to improving HIV care. Among 10,557 PWH (2010-2021) from 8 academic clinical sites nationally we examined longitudinal associations of substance use severity and number of substances used (measured using AUDIT-C and modified ASSIST) with patient-reported ART adherence (visual analog scale). Alcohol (68% any use, 18% unhealthy use [AUDIT-C > 4 men, > 3 women]), marijuana (33%), and methamphetamine (9%) use were most reported. Polysubstance use was common (32%). Both higher severity substance use and higher number of substances used were associated with lower ART adherence. Severity of methamphetamine use had the strongest dose-response association with ART adherence (low severity [ASSIST 1-3]: -3.05%, 95% CI: -4.23%, -1.87%; moderate [ASSIST 4-26]: -6.20%, 95% CI: -7.08%, -5.33%; high [ASSIST > 26]: -10.77%, 95% CI: -12.76%, -8.78%). Severe substance use, especially methamphetamine, and higher number of illicit drugs used were associated with declines in adherence at levels that were likely clinically meaningful in the modern era of ART. Findings support integrating substance use care with HIV care and potential benefits of harm reduction strategies for improving adherence such as encouraging lower levels of substance use and fewer number of substances used.

Biomarkers of microbial translocation and generalized inflammation are associated with frailty among people with HIV.

BACKGROUND: Frailty occurs at higher rates and younger ages among people with HIV (PWH) compared to the general population and is often attributed to chronic inflammation and subsequent immune exhaustion. We assessed how inflammatory biomarkers are associated with frailty among PWH. METHODS: The Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort is comprised of adult PWH in care at 10 sites, and harmonizes demographic, clinical, and patient-reported outcomes (PRO) data. A panel of 13 inflammatory biomarkers was collected from a subset of virally suppressed PWH once per person between 2010-2018. Frailty was measured with a validated PRO phenotype, scored 0-4, from biomarker collection date through July 2022. With adjusted linear mixed models, we estimated longitudinal associations between standard deviation-scaled log2-transformed biomarkers and frailty score. RESULTS: Among 273 PWH, most were male (91%), average age at baseline was 45, 42% were non-Hispanic White while 35% were non-Hispanic Black, and average follow-up time was 5.5 years. Several biomarkers were associated with higher frailty, including those linked to microbial translocation (sCD14, LBP, KT ratio) and systemic inflammation (CRP, IL-6, suPAR, sTNFR1, sTNFR2). Higher IL-6 was associated with a 0.25-point higher frailty score (95%CI:0.12-0.39). Higher sTNFR1 (0.35 [0.13-0.56]), sCD14 (0.21 [0.11-0.31]), and suPAR (0.24 [0.11-0.36]) levels were also associated with higher frailty scores over follow-up. CONCLUSIONS: Higher levels of biomarkers linked to microbial translocation and systemic inflammation are associated with higher average frailty scores over time in a cohort of virally suppressed PWH, highlighting these pathways as potential interventional targets for mitigating frailty in PWH.

Low food security is associated with frailty status and frailty components among people with HIV.

BACKGROUND: Low food security is common among people with HIV (PWH) and is associated with poorer health outcomes. Frailty, an aging-related outcome that is increasingly prevalent among PWH, may be stimulated by low food security. We assessed associations between food security and frailty among PWH. METHODS: The Impact of Physical Activity Routines and Dietary Intake on the Longitudinal Symptom Experience of People Living with HIV (PROSPER-HIV) study follows PWH to evaluate how diet and physical activity impact symptoms. We utilized food security and frailty data from PROSPER-HIV Year 1 visits (January 2019 to July 2022) to estimate associations. Food security was measured via the validated two-item Food Security Questionnaire and categorized as Food Secure, Low Food Security, or Very Low Food Security. Frailty was measured with the Fried frailty phenotype, and categorized as robust, prefrail, and frail. We used relative risk regression to estimate associations between food security and frailty status, adjusted for demographic characteristics. RESULTS: Among 574 PWH, nearly one-quarter were women (22%), mean age was 52 years old, 8% were frail, and 46% prefrail. Low food security was reported among nearly one-third of PWH: 13% Low Food Security and 18% Very Low Food Security. Compared with being Food Secure, we found Low Food Security was associated with frailty [prevalence ratio: 4.06 (95% confidence interval (CI) 2.16-7.62] and Very Low Food Security was associated with both prefrailty [1.48 (1.23-1.78)] and frailty [5.61 (3.14-10.0)], as compared with robust status. CONCLUSION: Low food security was associated with increased frailty among PWH in this study, suggesting a potential intervention point to promote healthy aging.

Smoking and Type 1 Versus Type 2 Myocardial Infarction Among People With HIV in the United States: Results from the Center for AIDS Research Network Integrated Clinical Systems Cohort.

ABSTRACT: Smoking is a myocardial infarction (MI) risk factor among people with HIV (PWH). Questions persist regarding the role of smoking behaviors and measurements (e.g., intensity, duration) on MI risk. We used Cox proportional hazards regression to compare the association of smoking parameterization with incidents of type 1 and type 2 MI and whether smoking intensity or duration improves MI risk prediction among PWH. Among 11,637 PWH, 37% reported currently smoking, and there were 346 MIs. Current smoking was associated with type 1 (84% increased risk) but not type 2 MI in adjusted analyses. The type 1 MI model with pack years had the best goodness of fit compared with other smoking parameterizations. Ever or never parameterization and smoking diagnosis data had significantly poorer model fit. These results highlight the importance of differentiating MI types and performing patient-based smoking assessments to improve HIV care and research rather than relying on smoking status from diagnoses.

Behavioral and Health Outcome Differences by Heroin or Methamphetamine Preference Among People in Rural US Communities Who Use Both Substances.

Background: The United States' (US) opioid overdose epidemic has evolved into a combined stimulant/opioid epidemic, a pattern driven in part by mitigating opioid overdose risk, variable substance availability, and personal preferences. This study aimed to investigate the association between self-reported substance preference (heroin or methamphetamine) and behavioral/health outcomes among individuals who used both heroin and methamphetamine in the rural US. Methods: The Rural Opioid Initiative is a consortium of 8 research cohorts from 10 states and 65 rural counties that recruited individuals reporting past 30-day injection of any substance or opioid substance use by any route from 1/2018 to 3/2020. Analyses were restricted to participants ⩾18 years, who self-reported either heroin or methamphetamine as their preferred substance and past 30-day use of both heroin and methamphetamine. We examined cross-sectional associations between preferred substance (heroin versus methamphetamine) and behavioral and health outcomes using random effects meta-analysis with adjusted regression models. Results: Among 1239 participants, 61% (n = 752) reported heroin as their preferred substance. Adjusting for age, sex, and race/ethnicity, methamphetamine preference was associated with lower prevalence ratios for current naloxone possession (adjusted prevalence ratio [aPR] = 0.68; 95% Confidence Interval [95% CI] = 0.59-0.78; P-value ⩽ .001), of ever being told they had the hepatitis C virus (HCV; aPR = 0.72; 95% CI: 0.61-0.85; P-value ⩽ .001) and a personal history of overdose (aPR = 0.81; 95% CI = 0.73-0.90; P-value ⩽ .001). Conclusion: In our study analyzing associations between preferred substance and various behavioral and health outcomes amongst people who use both heroin and methamphetamine, a majority of participants preferred heroin. Methamphetamine preference was associated with lower prevalence of naloxone possession, ever being told they had HCV, and prior history of an overdose. This study underscores the need for targeted harm reduction services for people who prefer methamphetamine in rural areas.

The relationship between felt stigma and non-fatal overdose among rural people who use drugs.

BACKGROUND: Drug overdose deaths in the United States exceeded 100,000 in 2021 and 2022. Substance use stigma is a major barrier to treatment and harm reduction utilization and is a priority target in ending the overdose epidemic. However, little is known about the relationship between stigma and overdose, especially in rural areas. We aimed to characterize the association between felt stigma and non-fatal overdose in a multi-state sample of rural-dwelling people who use drugs. METHODS: Between January 2018 and March 2020, 2,608 people reporting past 30-day opioid use were recruited via modified chain-referral sampling in rural areas across 10 states. Participants completed a computer-assisted survey of substance use and substance-related attitudes, behaviors, and experiences. We used multivariable logistic regression with generalized estimating equations to test the association between felt stigma and recent non-fatal overdose. RESULTS: 6.6% of participants (n = 173) reported an overdose in the past 30 days. Recent non-fatal overdose was significantly associated with felt stigma after adjusting for demographic and substance use-related covariates (aOR: 1.47, 95% CI: 1.20-1.81). The association remained significant in sensitivity analyses on component fear of enacted stigma items (aOR: 1.48, 95% CI: 1.20-1.83) and an internalized stigma item (aOR: 1.51, 95% CI: 1.07-2.14). CONCLUSIONS: Felt stigma related to substance use is associated with higher risk of non-fatal overdose in rural-dwelling people who use drugs. Stigma reduction interventions and tailored services for those experiencing high stigma are underutilized approaches that may mitigate overdose risk.

Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative.

BACKGROUND: Accurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative health outcomes and disparities. Lack of a sampling frame for marginalized/stigmatized populations, including persons who use drugs (PWUD) in rural settings, makes this challenging. Respondent-driven sampling (RDS) is frequently used to recruit PWUD. However, the validity of RDS-generated population-level prevalence estimates relies on assumptions that should be evaluated. METHODS: RDS was used to recruit PWUD across seven Rural Opioid Initiative studies between 2018-2020. To evaluate RDS assumptions, we computed recruitment homophily and design effects, generated convergence and bottleneck plots, and tested for recruitment and degree differences. We compared sample proportions with three RDS-adjusted estimators (two variations of RDS-I and RDS-II) for five variables of interest (past 30-day use of heroin, fentanyl, and methamphetamine; past 6-month homelessness; and being positive for hepatitis C virus (HCV) antibody) using linear regression with robust confidence intervals. We compared regression estimates for the associations between HCV positive antibody status and (a) heroin use, (b) fentanyl use, and (c) age using RDS-1 and RDS-II probability weights and no weights using logistic and modified Poisson regression and random-effects meta-analyses. RESULTS: Among 2,842 PWUD, median age was 34 years and 43% were female. Most participants (54%) reported opioids as their drug of choice, however regional differences were present (e.g., methamphetamine range: 4-52%). Many recruitment chains were not long enough to achieve sample equilibrium. Recruitment homophily was present for some variables. Differences with respect to recruitment and degree varied across studies. Prevalence estimates varied only slightly with different RDS weighting approaches, most confidence intervals overlapped. Variations in measures of association varied little based on weighting approach. CONCLUSIONS: RDS was a useful recruitment tool for PWUD in rural settings. However, several violations of key RDS assumptions were observed which slightly impacts estimation of proportion although not associations.

Differences in internalized HIV stigma across subpopulations of people with HIV in care across the United States.

BACKGROUND: Few studies have examined which subgroups of people with HIV (PWH) carry the greatest burden of internalized HIV stigma (IHS), which may be important to care provision and interventions. METHODS: PWH in the CFAR Network of Integrated Clinical Systems (CNICS) longitudinal, US-based, multisite, clinical care cohort completed tablet-based assessments during clinic visits including a four-item, Likert scale (low 1-5 high), IHS instrument. Associations between sociodemographic characteristics and IHS scores were assessed in adjusted linear regression models. RESULTS: Twelve thousand six hundred and fifty-six PWH completed the IHS assessment at least once from February 2016 to November 2022, providing 28 559 IHS assessments. At baseline IHS assessment, the mean age was 49 years, 41% reported White, 38% Black/African American, and 16% Latine race/ethnicity, and 80% were cisgender men. The mean IHS score was 2.04, with all subgroups represented among those endorsing IHS. In regression analyses, younger PWH and those in care fewer years had higher IHS scores. In addition, cisgender women vs. cisgender men, PWH residing in the West vs. the Southeast, and those with sexual identities other than gay/lesbian had higher IHS scores. Compared with White-identifying PWH, those who identified with Black/African American or Latine race/ethnicity had lower IHS scores. Age stratification revealed patterns related to age category, including specific age-related differences by gender, geographic region and race/ethnicity. DISCUSSION: IHS is prevalent among PWH, with differential burden by subgroups of PWH. These findings highlight the benefits of routine screening for IHS and suggest the need for targeting/tailoring interventions to reduce IHS among PWH.

Venous Thromboembolism Among People With HIV: Design, Implementation, and Findings of a Centralized Adjudication System in Clinical Care Sites Across the United States.

BACKGROUND: People with HIV (PWH) are at increased risk for venous thromboembolism (VTE). We conducted this study to characterize VTE including provoking factors among PWH in the current treatment era. METHODS: We included PWH with VTE between 2010 and 2020 at 6 sites in the CFAR Network of Integrated Clinical Systems cohort. We ascertained for possible VTE using diagnosis, VTE-related imaging, and VTE-related procedure codes, followed by centralized adjudication of primary data by expert physician reviewers. We evaluated sensitivity and positive predictive value of VTE ascertainment approaches. VTEs were classified by type and anatomic location. Reviewers identified provoking factors such as hospitalizations, infections, and other potential predisposing factors such as smoking. RESULTS: We identified 557 PWH with adjudicated VTE: 239 (43%) had pulmonary embolism with or without deep venous thrombosis, and 318 (57%) had deep venous thrombosis alone. Ascertainment with clinical diagnoses alone missed 6% of VTEs identified with multiple ascertainment approaches. DVTs not associated with intravenous lines were most often in the proximal lower extremities. Among PWH with VTE, common provoking factors included recent hospitalization (n = 134, 42%), infection (n = 133, 42%), and immobilization/bed rest (n = 78, 25%). Only 57 (10%) PWH had no provoking factor identified. Smoking (46%), HIV viremia (27%), and injection drug use (22%) were also common. CONCLUSIONS: We conducted a robust adjudication process that demonstrated the benefits of multiple ascertainment approaches followed by adjudication. Provoked VTEs were more common than unprovoked events. Nontraditional and modifiable potential predisposing factors such as viremia and smoking were common.

Weight loss associated with semaglutide treatment among people with HIV.

OBJECTIVE: There is limited real-world evidence about the effectiveness of semaglutide for weight loss among people with HIV (PWH). We aimed to investigate weight change in a US cohort of PWH who initiated semaglutide treatment. DESIGN: Observational study using the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort. METHODS: We identified adult PWH who initiated semaglutide between 2018 and 2022 and with at least two weight measurements. The primary outcome was within-person bodyweight change in kilograms at 1 year. The secondary outcome was within-person Hemoglobin A1c percentage (HbA1c) change. Both outcomes were estimated using multivariable linear mixed model. RESULTS: In total, 222 new users of semaglutide met inclusion criteria. Mean follow-up was 1.1 years. Approximately 75% of new semaglutide users were men, and at baseline, mean age was 53 years [standard deviation (SD): 10], average weight was 108 kg (SD: 23), mean BMI was 35.5 kg/m 2 , mean HbA1c was 7.7% and 77% had clinically recognized diabetes. At baseline, 97% were on ART and 89% were virally suppressed (viral load < 50 copies/ml). In the adjusted mixed model analysis, treatment with semaglutide was associated with an average weight loss of 6.47 kg at 1 year (95% CI -7.67 to -5.18) and with a reduction in HbA1c of 1.07% at 1 year (95% CI -1.64 to -0.50) among the 157 PWH with a postindex HbA1c value. CONCLUSION: Semaglutide was associated with significant weight loss and HbA1c reduction among PWH, comparable to results of previous studies from the general population.

Evaluating the Sick Quitting Hypothesis for Frailty Status and Reducing Alcohol Use Among People With HIV in a Longitudinal Clinical Cohort Study.

ABSTRACT: "Sick quitting," a phenomenon describing reductions in alcohol consumption following poor health, may explain observations that alcohol appears protective for frailty risk. We examined associations between frailty and reductions in drinking frequency among people with HIV (PWH). At six Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) sites between January 2012 and August 2021, we assessed whether frailty, measured through validated modified frailty phenotype, precedes reductions in drinking frequency. We associated time-updated frailty with quitting and reducing frequency of any drinking and heavy episodic drinking (HED), adjusted for demographic and clinical characteristics in Cox models. Among 5,654 PWH reporting drinking, 60% reported >monthly drinking and 18% reported ≥monthly HED. Over an average of 5.4 years, frail PWH had greater probabilities of quitting (HR: 1.56, 95% confidence interval [95% CI] [1.13-2.15]) and reducing (HR: 1.35, 95% CI [1.13-1.62]) drinking frequency, as well as reducing HED frequency (HR: 1.58, 95% CI [1.20-2.09]) versus robust PWH. Sick quitting likely confounds the association between alcohol use and frailty risk, requiring investigation for control.

Tobacco Smoking and Pack-Years Are Associated With Frailty Among People With HIV.

BACKGROUND: Tobacco smoking increases frailty risk among the general population and is common among people with HIV (PWH) who experience higher rates of frailty at younger ages than the general population. METHODS: We identified 8608 PWH across 6 Centers for AIDS Research Network of Integrated Clinical Systems sites who completed ≥2 patient-reported outcome assessments, including a frailty phenotype measuring unintentional weight loss, poor mobility, fatigue, and inactivity, and scored 0-4. Smoking was measured as baseline pack-years and time-updated never, former, or current use with cigarettes/day. We used Cox models to associate smoking with risk of incident frailty (score ≥3) and deterioration (frailty score increase by ≥2 points), adjusted for demographics, antiretroviral medication, and time-updated CD4 count. RESULTS: The mean follow-up of PWH was 5.3 years (median: 5.0), the mean age at baseline was 45 years, 15% were female, and 52% were non-White. At baseline, 60% reported current or former smoking. Current (HR: 1.79; 95% confidence interval: 1.54 to 2.08) and former (HR: 1.31; 95% confidence interval: 1.12 to 1.53) smoking were associated with higher incident frailty risk, as were higher pack-years. Current smoking (among younger PWH) and pack-years, but not former smoking, were associated with higher risk of deterioration. CONCLUSIONS: Among PWH, smoking status and duration are associated with incident and worsening frailty.

Polygenic risk scores point toward potential genetic mechanisms of type 2 myocardial infarction in people with HIV.

BACKGROUND: People with human immunodeficiency virus (HIV) infection (PWH) are at higher risk of myocardial infarction (MI) than those without HIV. About half of MIs in PWH are type 2 (T2MI), resulting from mismatch between myocardial oxygen supply and demand, in contrast to type 1 MI (T1MI), which is due to primary plaque rupture or coronary thrombosis. Despite worse survival and rising incidence in the general population, evidence-based treatment recommendations for T2MI are lacking. We used polygenic risk scores (PRS) to explore genetic mechanisms of T2MI compared to T1MI in PWH. METHODS: We derived 115 PRS for MI-related traits in 9541 PWH enrolled in the Centers for AIDS Research Network of Integrated Clinical Systems cohort with adjudicated T1MI and T2MI. We applied multivariate logistic regression analyses to determine the association with T1MI and T2MI. Based on initial findings, we performed gene set enrichment analysis of the top variants composing PRS associated with T2MI. RESULTS: We found that T1MI was strongly associated with PRS for cardiovascular disease, lipid profiles, and metabolic traits. In contrast, PRS for alcohol dependence and cholecystitis, significantly enriched in energy metabolism pathways, were predictive of T2MI risk. The association remained after the adjustment for actual alcohol consumption. CONCLUSIONS: We demonstrate distinct genetic traits associated with T1MI and T2MI among PWH further highlighting their etiological differences and supporting the role of energy regulation in T2MI pathogenesis.

Associations between alcohol and cigarette use and type 1 and 2 myocardial infarction among people with HIV.

OBJECTIVES: People with HIV have a higher risk of myocardial infarction (MI) than the general population, with a greater proportion of type 2 MI (T2MI) due to oxygen demand-supply mismatch compared with type 1 (T1MI) resulting from atherothrombotic plaque disruption. People living with HIV report a greater prevalence of cigarette and alcohol use than do the general population. Alcohol use and smoking as risk factors for MI by type are not well studied among people living with HIV. We examined longitudinal associations between smoking and alcohol use patterns and MI by type among people living with HIV. DESIGN AND METHODS: Using longitudinal data from the Centers for AIDS Research Network of Integrated Clinical Systems cohort, we conducted time-updated Cox proportional hazards models to determine the impact of smoking and alcohol consumption on adjudicated T1MI and T2MI. RESULTS: Among 13 506 people living with HIV, with a median 4 years of follow-up, we observed 177 T1MI and 141 T2MI. Current smoking was associated with a 60% increase in risk of both T1MI and T2MI. In addition, every cigarette smoked per day was associated with a 4% increase in risk of T1MI, with a suggestive, but not significant, 2% increase for T2MI. Cigarette use had a greater impact on T1MI for men than for women and on T2MI for women than for men. Increasing alcohol use was associated with a lower risk of T1MI but not T2MI. Frequency of heavy episodic alcohol use was not associated with MI. CONCLUSIONS: Our findings reinforce the prioritization of smoking reduction, even without cessation, and cessation among people living with HIV for MI prevention and highlight the different impacts on MI type by gender.

Development of Frail RISC-HIV: a Risk Score for Predicting Frailty Risk in the Short-term for Care of People with HIV.

OBJECTIVE: Frailty is common among people with HIV (PWH), so we developed frail risk in the short-term for care (RISC)-HIV, a frailty prediction risk score for HIV clinical decision-making. DESIGN: We followed PWH for up to 2 years to identify short-term predictors of becoming frail. METHODS: We predicted frailty risk among PWH at seven HIV clinics across the United States. A modified self-reported Fried Phenotype captured frailty, including fatigue, weight loss, inactivity, and poor mobility. PWH without frailty were separated into training and validation sets and followed until becoming frail or 2 years. Bayesian Model Averaging (BMA) and five-fold-cross-validation Lasso regression selected predictors of frailty. Predictors were selected by BMA if they had a greater than 45% probability of being in the best model and by Lasso if they minimized mean squared error. We included age, sex, and variables selected by both BMA and Lasso in Frail RISC-HIV by associating incident frailty with each selected variable in Cox models. Frail RISC-HIV performance was assessed in the validation set by Harrell's C and lift plots. RESULTS: Among 3170 PWH (training set), 7% developed frailty, whereas among 1510 PWH (validation set), 12% developed frailty. BMA and Lasso selected baseline frailty score, prescribed antidepressants, prescribed antiretroviral therapy, depressive symptomology, and current marijuana and illicit opioid use. Discrimination was acceptable in the validation set, with Harrell's C of 0.76 (95% confidence interval: 0.73-0.79) and sensitivity of 80% and specificity of 61% at a 5% frailty risk cutoff. CONCLUSIONS: Frail RISC-HIV is a simple, easily implemented tool to assist in classifying PWH at risk for frailty in clinics.

Validity Properties of a Self-reported Modified Frailty Phenotype Among People With HIV in Clinical Care in the United States.

ABSTRACT: Modifications to Fried's frailty phenotype (FFP) are common. We evaluated a self-reported modified frailty phenotype (Mod-FP) used among people with HIV (PWH). Among 522 PWH engaged in two longitudinal studies, we assessed validity of the four-item Mod-FP compared with the five-item FFP. We compared the phenotypes via receiver operator characteristic curves, agreement in classifying frailty, and criterion validity via association with having experienced falls. Mod-FP classified 8% of PWH as frail, whereas FFP classified 9%. The area under the receiver operator characteristic curve for Mod-FP classifying frailty was 0.93 (95% CI = 0.91-0.96). We observed kappa ranging from 0.64 (unweighted) to 0.75 (weighted) for categorizing frailty status. Both definitions found frailty associated with a greater odds of experiencing a fall; FFP estimated a slightly greater magnitude (i.e., OR) for the association than Mod-FP. The Mod-FP has good performance in measuring frailty among PWH and is reasonable to use when the gold standards of observed assessments (i.e., weakness and slowness) are not feasible.

Vaporized Nicotine (E-Cigarette) and Tobacco Smoking Among People With HIV: Use Patterns and Associations With Depression and Panic Symptoms.

BACKGROUND: Vaporized nicotine (VN) use is increasing among people with HIV (PWH). We examined demographics, patterns of use, depression, and panic symptoms associated with VN and combustible cigarette (CC) use among PWH. METHODS: We analyzed VN use among PWH in care at 7 US sites. PWH completed a set of patient-reported outcomes, including substance use and mental health. We categorized VN use as never vs. ever with the frequency of use (days/month) and CC use as never, former, or current. We used relative risk regression to associate VN and CC use, depression, and panic symptoms. Linear regression estimated each relationship with VN frequency. Models were adjusted for demographics. RESULTS: Among 7431 PWH, 812 (11%) reported ever-using VN, and 264 (4%) reported daily use. Half (51%) of VN users concurrently used CC. VN users were more likely than those without use to be younger, to be White, and to report ever-using CC. PWH reporting former CC use reported ≥8.5 more days per month of VN use compared with never CC use [95% confidence interval (95% CI): 5.5 to 11.5 days/month] or current CC use (95% CI: 6.6 to 10.5 days/month). Depression (relative risk: 1.20 [95% CI: 1.02 to 1.42]) and panic disorder (1.71 [95% CI: 1.43 to 2.05]) were more common among PWH ever-using VN. Depression was common among PWH using VN (27%) and CC (22%), as was panic disorder (21% for VN and 16% for CC). CONCLUSION: Our study elucidated demographic associations with VN use among PWH, revealed the overlap of VN and CC use, and associations with depression/panic symptoms, suggesting roles of VN in self-medication and CC substitution, warranting further longitudinal/qualitative research.

Associations between drug and alcohol use, smoking, and frailty among people with HIV across the United States in the current era of antiretroviral treatment.

OBJECTIVE: To examine associations between frailty and drug, alcohol, and tobacco use among a large diverse cohort of people with HIV (PWH) in clinical care in the current era. METHODS: PWH at 7 sites across the United States completed clinical assessments of patient-reported measures and outcomes between 2016 and 2019 as part of routine care including drug and alcohol use, smoking, and other domains. Frailty was assessed using 4 of the 5 components of the Fried frailty phenotype and PWH were categorized as not frail, pre-frail, or frail. Associations of substance use with frailty were assessed with multivariate Poisson regression. RESULTS: Among 9336 PWH, 43% were not frail, 44% were prefrail, and 13% were frail. Frailty was more prevalent among women, older PWH, and those reporting current use of drugs or cigarettes. Current methamphetamine use (1.26: 95% CI 1.07-1.48), current (1.65: 95% CI 1.39-1.97) and former (1.21:95% CI 1.06-1.36) illicit opioid use, and former cocaine/crack use (1.17: 95% CI 1.01-1.35) were associated with greater risk of being frail in adjusted analyses. Current smoking was associated with a 61% higher risk of being frail vs. not frail (1.61: 95% CI 1.41-1.85) in adjusted analyses. CONCLUSIONS: We found a high prevalence of prefrailty and frailty among a nationally distributed cohort of PWH in care. This study identified distinct risk factors that may be associated with frailty among PWH, many of which, such as cigarette smoking and drug use, are potentially modifiable.

Menu Labeling Utilization and Socioeconomic Status in West Virginia and Mississippi.

OBJECTIVE: Determine the association between socioeconomic status and self-reported noticing and using calorie menu labels in 2 states with high poverty and obesity. DESIGN: Cross-sectional study of responses to the 2016 Behavioral Risk Factor Surveillance System Menu Labeling Module. PARTICIPANTS: Representative sample of noninstitutionalized adults aged ≥ 18 years in West Virginia and Mississippi (n = 9,469). MAIN OUTCOME MEASURES: The outcomes were reported noticing and using menu labels to make decisions at fast-food restaurants. Independent variables were highest attained education and federal poverty level (% FPL). ANALYSIS: Generalized linear models estimated prevalence ratios for noticing and using menu labels. Models mutually adjusted for education, % FPL, age, sex, race/ethnicity, and body mass index. RESULTS: Eighty-six percent of respondents reported noticing, and 56% reported using menu labels. Compared with individuals with less than high school education, college graduates were 11% more likely to report noticing (95% confidence interval, 1.06-1.18; P < 0.001) and 18% more likely to report using (95% confidence interval, 1.06-1.30; P < 0.01) menu labels. Patterns were similar for % FPL. CONCLUSIONS AND IMPLICATIONS: These data support further investigation of menu labels among subgroups and a larger geographic scope. Limitations of the menu labeling module question and the cross-sectional nature of the existing literature warrant additional research.

Brief Report: Insomnia and Risk of Myocardial Infarction Among People With HIV.

BACKGROUND: Insomnia is common among people with HIV (PWH) and may be associated with increased risk of myocardial infarction (MI). This study examines the association between insomnia and MI by MI type among PWH. SETTING: Longitudinal cohort study of PWH at 5 Centers for AIDS Research Network of Integrated Clinical Systems sites. METHODS: Clinical data and patient-reported measures and outcomes from PWH in care between 2005 and 2018 were used in this study. Insomnia, measured at baseline, was defined as having difficulty falling or staying asleep with bothersome symptoms. The Centers for AIDS Research Network of Integrated Clinical Systems centrally adjudicates MIs using expert reviewers, with distinction between type 1 MI (T1MI) and type 2 MI (T2MI). Associations between insomnia and first incident MI by MI type were measured using separate Cox proportional hazard models adjusted for age, sex, race/ethnicity, traditional cardiovascular disease risk factors (hypertension, dyslipidemia, poor kidney function, diabetes, and smoking), HIV markers (antiretroviral therapy, viral suppression, and CD4 cell count), and stimulant use (cocaine/crack and methamphetamine). RESULTS: Among 12,448 PWH, 48% reported insomnia. Over a median of 4.4 years of follow-up, 158 T1MIs and 109 T2MIs were identified; approximately half of T2MIs were attributed to sepsis or stimulant use. After adjustment for potential confounders, we found no association between insomnia and T1MI (hazard ratio = 1.05, 95% confidence interval: 0.76 to 1.45) and a 65% increased risk of T2MI among PWH reporting insomnia compared with PWH without insomnia (hazard ratio = 1.65, 95% confidence interval: 1.11 to 2.45). CONCLUSIONS: PWH reporting insomnia are at an increased risk of T2MI, but not T1MI, compared with PWH without insomnia, highlighting the importance of distinguishing MI types among PWH.