Deiss Robert G, Mesner Octavio, Agan Brian K, Ganesan Anuradha, Okulicz Jason F, Bavaro Mary, Lalani Tahaniyat, O'Bryan Thomas A, Bebu Ionut, Macalino Grace E
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Division of Infectious Diseases, Naval Medical Center of San Diego, San Diego, California.
Alcohol Clin Exp Res. 2016 Mar;40(3):529-35. doi: 10.1111/acer.12975. Epub 2016 Feb 25.
The effects of at-risk drinking on HIV infection remain controversial. We investigated the impact of self-reported alcohol consumption on surrogate markers of HIV progression among individuals initiated on highly active antiretroviral therapy (HAART).
We analyzed individuals who were surveyed on alcohol use within a year of HAART initiation between 2006 and 2014. At-risk drinking was defined as consumption of at least 3 or 4 drinks/d, or 7 and 14 drinks/wk among women and men, respectively. We performed time-updated generalized estimating equation logistic regression to determine the effect of at-risk drinking on virologic failure (VF) and mixed-effects linear regression on CD4 count reconstitution, controlling for potential confounders.
Of 801 individuals initiated on HAART, 752 individuals with alcohol survey data were included in the analysis. Of these, 45% (n = 336) met criteria for at-risk drinking at HAART initiation on at least 1 survey. The rates of VF were 4.30 per 100 person-years (95% CI [2.86, 6.21]) for at-risk drinkers and 2.45 per 100 person-years (95% CI [1.57, 3.65]) for individuals without at-risk drinking. At-risk drinking was not significantly associated with VF (OR 1.73, 95% CI [0.92, 3.25]) (p = 0.087) or CD4 reconstitution (CD4 increase 11.4; 95% CI [-19.8, 42.7]) in univariate analyses; however, in our multivariate model, a statistically significant relationship between VF and at-risk drinking was observed (OR 2.28, 95% CI [ 1.01, 5.15]).
We found a high proportion of at-risk drinking in our military cohort, which was predictive of VF in multivariate analysis. Given alcohol's effect on myriad HIV and non-HIV outcomes, interventions to decrease the prevalence of at-risk drinking among HIV-infected individuals are warranted.
危险饮酒对艾滋病毒感染的影响仍存在争议。我们调查了自我报告的饮酒情况对开始接受高效抗逆转录病毒治疗(HAART)的个体中艾滋病毒进展替代指标的影响。
我们分析了在2006年至2014年期间开始接受HAART治疗后一年内接受酒精使用调查的个体。危险饮酒的定义为女性每天至少饮用3杯或4杯酒,男性每周分别饮用7杯和14杯酒。我们进行了时间更新的广义估计方程逻辑回归,以确定危险饮酒对病毒学失败(VF)的影响,并进行混合效应线性回归以分析CD₄细胞计数的恢复情况,同时控制潜在的混杂因素。
在801名开始接受HAART治疗的个体中,752名有酒精使用调查数据的个体被纳入分析。其中,45%(n = 336)在至少一次调查中符合HAART治疗开始时的危险饮酒标准。危险饮酒者的VF发生率为每100人年4.30例(95%可信区间[2.86, 6.21]),无危险饮酒的个体为每100人年2.45例(95%可信区间[1.57, 3.65])。在单变量分析中,危险饮酒与VF(比值比1.73,95%可信区间[0.92, 3.25])(p = 0.087)或CD₄细胞恢复(CD₄细胞增加11.4;95%可信区间[-19.8, 42.7])无显著关联;然而,在我们的多变量模型中,观察到VF与危险饮酒之间存在统计学显著关系(比值比2.28,95%可信区间[1.01, 5.15])。
我们发现我们的军人队列中危险饮酒比例很高,这在多变量分析中可预测VF。鉴于酒精对众多艾滋病毒和非艾滋病毒结局的影响,有必要采取干预措施降低艾滋病毒感染者中危险饮酒的患病率。