Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Am J Epidemiol. 2013 Feb 1;177(3):256-63. doi: 10.1093/aje/kws324. Epub 2013 Jan 9.
Assays for detecting levels of antiretroviral drugs in study participants are increasingly popular in preexposure prophylaxis (PrEP) trials, since they provide an objective measure of adherence. Current correlation analyses of drug concentration data are prone to bias. In this article, we formulate the causal estimand of prevention efficacy among drug compliers, those who would have had a threshold level of drug concentration had they been assigned to the drug arm of the trial. The identifiability of the causal estimand is facilitated by exploiting the exclusion restriction; that is, drug noncompliers do not acquire any prevention benefit. In addition, we develop an approach to sensitivity analysis that relaxes the exclusion restriction. Applications to published data from 2 PrEP trials, namely the Preexposure Prophylaxis Initiative (iPrEx) trial and the Centre for the AIDS Programme of Research in South Africa (CAPRISA) 004 trial, suggest high efficacy estimates among drug compliers (in the iPrEx trial, odds ratio = 0.097 (95% confidence interval: 0.027, 0.352); in the CAPRISA 004 trial, odds ratio = 0.104 (95% confidence interval: 0.024, 0.447)). In summary, the proposed inferential method provides an unbiased assessment of PrEP efficacy among drug compliers, thus adding to the primary intention-to-treat analysis and correlation analyses of drug concentration data.
在暴露前预防(PrEP)试验中,检测研究参与者体内抗逆转录病毒药物水平的检测方法越来越受欢迎,因为它们提供了一种衡量依从性的客观方法。目前对药物浓度数据的相关性分析容易产生偏差。在本文中,我们构建了药物依从者的预防效果的因果估计量,即那些如果被分配到试验的药物组,就会达到药物浓度阈值的人。通过利用排除限制,可以方便地确定因果估计量的可识别性;也就是说,药物不依从者不会获得任何预防益处。此外,我们还开发了一种敏感性分析方法,放宽了排除限制。对两项 PrEP 试验(即暴露前预防倡议(iPrEx)试验和南非艾滋病方案研究中心(CAPRISA)004 试验)发表数据的应用表明,药物依从者的高疗效估计(在 iPrEx 试验中,比值比=0.097(95%置信区间:0.027,0.352);在 CAPRISA 004 试验中,比值比=0.104(95%置信区间:0.024,0.447))。总之,所提出的推断方法为药物依从者的 PrEP 疗效提供了无偏估计,从而补充了主要的意向治疗分析和药物浓度数据的相关性分析。