Meisner Allison, Xia Fan, Chan Kwun C G, Mayer Kenneth, Wheeler Darrell, Zangeneh Sahar, Donnell Deborah
Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, US.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, US.
medRxiv. 2024 Mar 5:2024.01.10.24301113. doi: 10.1101/2024.01.10.24301113.
Black men who have sex with men (MSM) are disproportionately burdened by the HIV epidemic in the US. The effectiveness of pre-exposure prophylaxis (PrEP) in preventing HIV infection has been demonstrated through randomized placebo-controlled clinical trials in several populations. Importantly, no such trial has been conducted exclusively among Black MSM in the US, and it would be unethical and infeasible to do so now. To estimate the causal effects of PrEP access, initiation, and adherence on HIV risk, we utilized causal inference methods to combine data from two non-randomized studies that exclusively enrolled Black MSM. The estimated relative risks of HIV were: (i) 0.52 (95% confidence interval: 0.21, 1.22) for individuals with versus without PrEP access, (ii) 0.48 (0.12, 0.89) for individuals who initiated PrEP but were not adherent versus those who did not initiate, and (iii) 0.23 (0.02, 0.80) for individuals who were adherent to PrEP versus those who did not initiate. Beyond addressing the knowledge gap around the effect of PrEP in Black MSM in the US, which may have ramifications for public health, we have provided a framework to combine data from multiple non-randomized studies to estimate causal effects, which has broad utility.
在美国,男男性行为者(MSM)中的黑人受艾滋病毒疫情的影响尤为严重。暴露前预防(PrEP)在预防艾滋病毒感染方面的有效性已在多个人群的随机安慰剂对照临床试验中得到证实。重要的是,美国尚未专门针对黑人男男性行为者进行此类试验,而且现在这样做既不道德也不可行。为了估计获得PrEP、开始使用PrEP和坚持使用PrEP对艾滋病毒风险的因果效应,我们利用因果推断方法,将两项专门招募黑人男男性行为者的非随机研究的数据结合起来。艾滋病毒的估计相对风险为:(i)有PrEP与无PrEP的个体相比为0.52(95%置信区间:0.21,1.22);(ii)开始使用PrEP但未坚持使用的个体与未开始使用的个体相比为0.48(0.12,0.89);(iii)坚持使用PrEP的个体与未开始使用的个体相比为0.23(0.02,0.80)。除了填补美国黑人男男性行为者中关于PrEP效果的知识空白(这可能对公共卫生产生影响)之外,我们还提供了一个将多个非随机研究的数据结合起来以估计因果效应的框架,该框架具有广泛的实用性。