Martin Catherine E, Ramatsoma Hlologelo, Chidumwa Glory, Cox Laura Ashleigh, Mullick Saiqa
Wits RHI and School of Public Health Affiliations for Glory Chidumwa, University of the Witwatersrand, Johannesburg, South Africa.
Division of Epidemiology and Biostatistics, Wits RHI and School of Public Health Affiliations for Glory Chidumwa, University of the Witwatersrand, Johannesburg, South Africa.
J Int AIDS Soc. 2025 Feb;28(2):e26421. doi: 10.1002/jia2.26421.
There has been significant progress in the rollout of oral pre-exposure prophylaxis (PrEP) for the prevention of HIV. The introduction of long-acting prevention methods holds the potential to improve HIV prevention uptake and use, however, presents unique complexities regarding HIV diagnosis and potential for resistance. Quantifying and understanding the scenarios within which seroconversions occur may help to inform approaches to identifying acute HIV in programmes delivering PrEP at scale.
This paper documents ctra series of seroconversions within a large implementation study conducted in eight Department of Health facilities and four linked mobile clinics in four areas of South Africa. Using routinely collected data, we conducted a descriptive analysis of clients who seroconverted after initiating oral PrEP and determined the distribution of time from oral PrEP initiation to seroconversion as well as the proportion of days covered by oral PrEP. A seroconversion was defined as any HIV-positive diagnosis after initiation of PrEP. Time to seroconversion was calculated as the number of days between the first PrEP initiation and the date of HIV diagnosis. The proportion of days covered by PrEP was calculated as the number of days of PrEP prescribed over the number of days between PrEP initiation and HIV seroconversion. We conducted a logistic regression to determine factors associated with seroconversion.
Of the 11,882 clients initiated on PrEP between January 2019 and October 2022 who attended at least one follow-up visit, 112 (0.9%) seroconverted after PrEP initiation. Among those who seroconverted, the median proportion of days covered by PrEP between initiation and seroconversion was 33%. In the period between PrEP initiation and seroconversion, almost all (n = 93, 83.0%) had not used PrEP consistently, with only 19 (17.0%) having consistent PrEP use, all of whom were identified at the 1-month follow-up visit and were likely missed acute acquisitions. Younger age and geographical area were associated with seroconversion.
This study reports a low number of seroconversions among a large cohort of PrEP users in a real-world implementation study, the majority of which occurred among clients who had interrupted or discontinued PrEP use.
在推广用于预防艾滋病毒的口服暴露前预防(PrEP)方面已取得重大进展。长效预防方法的引入有可能提高艾滋病毒预防措施的接受度和使用率,然而,在艾滋病毒诊断和耐药性方面存在独特的复杂性。量化和了解血清转化发生的情况可能有助于为在大规模提供PrEP的项目中识别急性艾滋病毒的方法提供信息。
本文记录了在南非四个地区的八个卫生部设施和四个相关移动诊所进行的一项大型实施研究中的一系列血清转化情况。利用常规收集的数据,我们对开始口服PrEP后发生血清转化的客户进行了描述性分析,并确定了从开始口服PrEP到血清转化的时间分布以及口服PrEP覆盖的天数比例。血清转化被定义为开始PrEP后任何艾滋病毒阳性诊断。血清转化时间计算为首次开始PrEP与艾滋病毒诊断日期之间的天数。PrEP覆盖天数比例计算为PrEP规定天数除以PrEP开始至艾滋病毒血清转化之间的天数。我们进行了逻辑回归以确定与血清转化相关的因素。
在2019年1月至2022年10月期间开始使用PrEP且至少参加过一次随访的11882名客户中,112名(0.9%)在开始PrEP后发生了血清转化。在发生血清转化者中,开始至血清转化期间PrEP覆盖天数的中位数比例为33%。在PrEP开始至血清转化期间,几乎所有(n = 93,83.0%)都未持续使用PrEP,只有19名(17.0%)持续使用PrEP,所有这些人都是在1个月随访时被识别出来的,可能是漏诊的急性感染。年龄较小和地理区域与血清转化有关。
本研究报告了在一项现实世界实施研究中的一大群PrEP使用者中血清转化的数量较低,其中大多数发生在中断或停止使用PrEP的客户中。