Division of Gastroenterology and Hepatology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
AIDS Care. 2024 Oct;36(10):1508-1517. doi: 10.1080/09540121.2024.2343587. Epub 2024 Apr 22.
Heavy alcohol use (HAU) can destabilize engagement along the HIV care continuum. Population-based studies assessing associations of HAU with HIV treatment outcomes are lacking, especially in sub-Saharan Africa. We leveraged data from the Kenya Population-based HIV Impact Assessment to identify associations of self-reported HAU, assessed using two items measuring the frequency and quantity of past-year alcohol consumption, with serum biomarkers for HIV serostatus unawareness, antiretroviral therapy (ART) non-use, and HIV viremia (≥1000 RNA copies/mL). Overall and sex-stratified survey-weighted logistic regression with jackknife variance estimation modeled adjusted odds ratios (adjOR) of HIV treatment indicators by HAU. Overall, 1491 persons living with HIV aged 15-64 years (68.4% female) were included. The prevalence of HAU was 8.9% (95% confidence interval [95%CI]: 6.8-11.0%) and was significantly more pronounced in males than females (19.6% vs. 4.0%, < 0.001). In multivariable analysis, HAU was significantly (< 0.001) associated with HIV serostatus unawareness (adjOR = 3.65, 95%CI: 2.14-6.23), ART non-use (adjOR = 3.81, 95%CI: 2.25-6.43), and HIV viremia (adjOR = 3.13, 95%CI: 1.85-5.32). Incorporating sex-specific alcohol use screening into HIV testing and treatment services in populations where HAU is prevalent could optimize clinical outcomes along the HIV care continuum.
大量饮酒(HAU)会破坏艾滋病防治工作的连续性。缺乏基于人群的研究评估 HAU 与艾滋病治疗结果之间的关联,尤其是在撒哈拉以南非洲地区。我们利用肯尼亚基于人群的艾滋病毒影响评估的数据,确定了使用两项衡量过去一年饮酒频率和数量的项目来衡量的自我报告的 HAU 与血清生物标志物之间的关联,这些生物标志物用于衡量艾滋病毒感染状况未知、未使用抗逆转录病毒疗法(ART)和 HIV 病毒血症(≥1000 RNA 拷贝/ml)。总体和按性别分层的调查加权逻辑回归,采用 jackknife 方差估计,对 HAU 与 HIV 治疗指标的调整比值比(adjOR)进行建模。共有 1491 名年龄在 15-64 岁的 HIV 感染者(68.4%为女性)纳入研究。HAU 的患病率为 8.9%(95%置信区间[95%CI]:6.8-11.0%),男性显著高于女性(19.6% vs. 4.0%,<0.001)。多变量分析显示,HAU 与 HIV 感染状况未知(adjOR=3.65,95%CI:2.14-6.23)、未使用 ART(adjOR=3.81,95%CI:2.25-6.43)和 HIV 病毒血症(adjOR=3.13,95%CI:1.85-5.32)显著相关(<0.001)。在 HAU 流行的人群中,将基于性别的酒精使用筛查纳入艾滋病毒检测和治疗服务中,可以优化艾滋病防治工作的连续性。