Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Stat Med. 2022 Mar 15;41(6):1120-1136. doi: 10.1002/sim.9321. Epub 2022 Jan 25.
In trials of oral HIV pre-exposure prophylaxis (PrEP), multiple approaches have been used to measure adherence, including self-report, pill counts, electronic dose monitoring devices, and biological measures such as drug levels in plasma, peripheral blood mononuclear cells, hair, and/or dried blood spots. No one of these measures is ideal and each has strengths and weaknesses. However, accurate estimates of adherence to oral PrEP are important as drug efficacy is closely tied to adherence, and secondary analyses of trial data within identified adherent/non-adherent subgroups may yield important insights into real-world drug effectiveness. We develop a statistical approach to combining multiple measures of adherence and show in simulated data that the proposed method provides a more accurate measure of true adherence than self-report. We then apply the method to estimate adherence in the ADAPT study (HPTN 067) in South African women.
在口服 HIV 暴露前预防 (PrEP) 的临床试验中,已经使用了多种方法来衡量依从性,包括自我报告、药丸计数、电子剂量监测设备以及生物测量,如血浆、外周血单核细胞、头发和/或干血斑中的药物水平。这些方法都不完美,每种方法都有其优点和缺点。然而,准确估计口服 PrEP 的依从性很重要,因为药物疗效与依从性密切相关,并且在确定的依从性/非依从性亚组内对试验数据进行二次分析可能会深入了解实际药物的有效性。我们开发了一种结合多种依从性测量方法的统计方法,并在模拟数据中表明,所提出的方法比自我报告提供了更准确的真实依从性衡量标准。然后,我们将该方法应用于南非女性的 ADAPT 研究 (HPTN 067) 中估计依从性。