Effects of drug and hazardous alcohol use on having a detectable HIV viral load: An adherence mediation analysis

Q1 Psychology Addictive Behaviors Reports Pub Date : 2023-06-01 DOI:10.1016/j.abrep.2023.100486
Edward R. Cachay , Tesfaye S. Moges , Huifang Qin , Laura Bamford , David J. Grelotti , Wm. Christopher Mathews
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Abstract

Objectives

People living with HIV (PWH) with substance or alcohol use often have unsuppressed plasma HIV viral loads (pVL). The degree to which substance and alcohol use effects on HIV viral suppression are mediated through medication nonadherence is incompletely understood.

Methods

We included PWH prescribed antiretroviral therapy and receiving care at an academic HIV clinic between 2014 and 2018 who completed both patient-reported outcomes (PRO) questionnaires and had subsequent pVL measurements. Measures included assessments of alcohol use (AUDIT-C), drug use (NIDA-ASSIST), and self-reported adherence measured using four different methods. Substances found in bivariate analysis to predict detectable pVL were modeled separately for mediation effects through adherence. We report natural direct (NDE) and indirect effect (NIE), marginal total effect (MTE), and percentage mediated.

Results

Among 3125 PWH who met eligibility criteria, 25.8% reported hazardous alcohol use, 27.1% cannabis, 13.1% amphetamines, 1.9% inhalants, 5.3% cocaine, 4.5% sedative-hypnotics, 2.9% opioids, and 2.3% hallucinogens. Excellent adherence was reported by 58% of PWH, and 10% had detectable pVL. Except for sedatives, using other substances was significantly associated with worse adherence. Bivariate predictors of detectable pVL were [OR (95% CI)]: amphetamine use 2.4 (1.8–3.2) and opioid use 2.3 (1.3–4.0). The percent of marginal total effect mediated by nonadherence varied by substance: 36% for amphetamine use, 27% for opioid use, and 39% for polysubstance use.

Conclusion

Use of amphetamines, opioids, and multiple substances predicted detectable pVL. Up to 40% of their effects were mediated by self-reported nonadherence. Confirmation using longitudinal measurement models will strengthen causal inference from this cross-sectional analysis.

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药物和危险酒精使用对检测HIV病毒载量的影响:依从性中介分析
目的使用药物或酒精的HIV感染者(PWH)的血浆HIV病毒载量(pVL)通常未被抑制。药物和酒精使用对HIV病毒抑制的影响在多大程度上是通过药物不依从性介导的,目前尚不完全清楚。方法我们纳入了2014年至2018年间PWH处方的抗逆转录病毒疗法和在一家学术HIV诊所接受护理的患者,他们完成了两份患者报告结果(PRO)问卷,并随后进行了pVL测量。测量包括酒精使用评估(AUDIT-C)、药物使用评估(NIDA-ASSIST)和使用四种不同方法测量的自我报告依从性。在预测可检测pVL的双变量分析中发现的物质被单独建模,用于通过粘附的中介作用。我们报告了自然直接效应(NDE)和间接效应(NIE)、边际总效应(MTE)和百分比介导。结果在3125名符合资格标准的PWH中,25.8%的人报告使用了危险酒精,27.1%的人报告大麻,13.1%的安非他命,1.9%的吸入剂,5.3%的可卡因,4.5%的镇静催眠药,2.9%的阿片类药物,2.3%的致幻剂。据报道,58%的PWH具有良好的粘附性,10%具有可检测的pVL。除镇静剂外,使用其他物质与依从性较差显著相关。可检测pVL的双变量预测因子为[OR(95%CI)]:苯丙胺使用2.4(1.8-3.2)和阿片类药物使用2.3(1.3-4.0)。不依从性介导的边际总效应百分比因物质而异:苯丙胺的使用为36%,阿片类使用为27%,多物质使用为39%。结论安非他命、阿片类药物和多种物质的使用预测了可检测的pVL。高达40%的疗效是由自我报告的不依从性介导的。使用纵向测量模型的确认将加强从横截面分析中得出的因果推断。
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来源期刊
Addictive Behaviors Reports
Addictive Behaviors Reports Medicine-Psychiatry and Mental Health
CiteScore
6.80
自引率
0.00%
发文量
69
审稿时长
71 days
期刊介绍: Addictive Behaviors Reports is an open-access and peer reviewed online-only journal offering an interdisciplinary forum for the publication of research in addictive behaviors. The journal accepts submissions that are scientifically sound on all forms of addictive behavior (alcohol, drugs, gambling, Internet, nicotine and technology) with a primary focus on behavioral and psychosocial research. The emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. We are particularly interested in ''non-traditional'', innovative and empirically oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. Studies that might encourage new lines of inquiry as well as scholarly commentaries on topical issues, systematic reviews, and mini reviews are also very much encouraged. We also welcome multimedia submissions that incorporate video or audio components to better display methodology or findings.
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