Risk Factor Detection as a Metric of STARHS Performance for HIV Incidence Surveillance Among Female Sex Workers in Kigali, Rwanda.

The Open AIDS Journal Pub Date : 2012-01-01 Epub Date: 2012-09-07 DOI:10.2174/1874613601206010112
Sarah L Braunstein, Janneke H van de Wijgert, Joseph Vyankandondera, Evelyne Kestelyn, Justin Ntirushwa, Denis Nash
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引用次数: 12

Abstract

Background: The epidemiologic utility of STARHS hinges not only on producing accurate estimates of HIV incidence, but also on identifying risk factors for recent HIV infection. Methods: As part of an HIV seroincidence study, 800 Rwandan female sex workers (FSW) were HIV tested, with those testing positive further tested by BED-CEIA (BED) and AxSYM Avidity Index (Ax-AI) assays. A sample of HIV-negative (N=397) FSW were followed prospectively for HIV seroconversion. We compared estimates of risk factors for: 1) prevalent HIV infection; 2) recently acquired HIV infection (RI) based on three different STARHS classifications (BED alone, Ax-AI alone, BED/Ax-AI combined); and 3) prospectively observed seroconversion. Results: There was mixed agreement in risk factors between methods. HSV-2 coinfection and recent STI treatment were associated with both prevalent HIV infection and all three measures of recent infection. A number of risk factors were associated only with prevalent infection, including widowhood, history of forced sex, regular alcohol consumption, prior imprisonment, and current breastfeeding. Number of sex partners in the last 3 months was associated with recent infection based on BED/Ax-AI combined, but not other STARHS-based recent infection outcomes or prevalent infection. Risk factor estimates for prospectively observed seroconversion differed in magnitude and direction from those for recent infection via STARHS. Conclusions: Differences in risk factor estimates by each method could reflect true differences in risk factors between the prevalent, recently, or newly infected populations, the effect of study interventions (among those followed prospectively), or assay misclassification. Similar investigations in other populations/settings are needed to further establish the epidemiologic utility of STARHS for identifying risk factors, in addition to incidence rate estimation.
风险因素检测作为STARHS在卢旺达基加利女性性工作者中艾滋病毒发病率监测表现的指标。
背景:STARHS的流行病学应用不仅取决于对HIV发病率的准确估计,还取决于确定近期HIV感染的危险因素。方法:作为艾滋病毒血清发病率研究的一部分,对800名卢旺达女性性工作者(FSW)进行了艾滋病毒检测,对检测呈阳性的人进一步进行了BED- ceia (BED)和AxSYM感染指数(Ax-AI)检测。对397例HIV阴性FSW患者进行HIV血清转化的前瞻性随访。我们比较了以下风险因素的估计:1)流行的HIV感染;2)基于3种不同STARHS分类(单独BED、单独Ax-AI、BED/Ax-AI联合)的近期获得性HIV感染(RI);3)前瞻性观察血清转化。结果:不同方法的危险因素有不同的一致性。单纯疱疹病毒-2合并感染和最近的性传播感染治疗与流行的艾滋病毒感染和最近感染的所有三项措施都有关。一些风险因素仅与流行感染有关,包括丧偶、强迫性行为史、经常饮酒、曾被监禁和目前正在哺乳。根据BED/Ax-AI联合结果,最近3个月的性伴侣数量与近期感染相关,但与其他基于starhs的近期感染结果或流行感染无关。前瞻性观察到的血清转化的危险因素估计值在大小和方向上与最近通过STARHS感染的风险因素估计值不同。结论:每种方法的风险因素估计值的差异可以反映流行人群、最近感染人群或新感染人群之间风险因素的真实差异、研究干预措施的影响(在前瞻性随访中)或测定错误分类。除了发病率估计外,还需要在其他人群/环境中进行类似的调查,以进一步确定STARHS在确定危险因素方面的流行病学效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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