估计性传播感染与激素避孕方法之间关系的信息抽样核算。

Anu Mishra, Petra Buzkova, Jennifer E Balkus, Elizabeth R Brown
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引用次数: 4

摘要

激素避孕方法的使用与性传播感染(STIs)之间的关系尚不清楚。在不同避孕药具使用者中实施性传播感染常规筛查的研究,例如ASPIRE HIV-1预防试验,可有助于确定性传播感染的潜在危险因素。然而,非随机数据的复杂性会给潜在风险因素的关联估计带来挑战。特别是,如果疾病筛查不是随机的(即由症状或其他临床指标驱动),则关联估计可能存在偏差,通常称为信息抽样偏差。时变预测因子和潜在的分层变量可能进一步增加获得无偏估计的困难。在本文中,我们通过扩展Buzkova(2010)的工作,在信息抽样的情况下,估计时变避孕措施使用与性传播感染之间的关系。我们使用两步程序来共同模拟非随机筛选过程和性传播感染风险。在第一步中,估计逆强度率比(IIRR)权重。第二步,拟合加权比例率模型来估计IIRR加权风险比。我们应用该方法来评估激素避孕与参与HIV-1生物医学预防试验的妇女性传播感染风险之间的关系。我们将我们的结果与使用传统方法产生的结果进行比较,传统方法不考虑潜在的信息抽样偏差或不使用数据的全部潜力。使用IIRR加权方法,我们发现与宫内节育器使用者相比,DMPA使用者患阴道生殖道感染的风险显著降低(HR: 0.44, 95% CI:(0.25, 0.83)),这与文献一致。与非激素宫内节育器使用者相比,我们没有发现激素避孕药使用者的其他性传播感染风险显著增加或减少。
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Accounting for Informative Sampling in Estimation of Associations between Sexually Transmitted Infections and Hormonal Contraceptive Methods.

The relationship between hormonal contraceptive method use and sexually transmitted infections (STIs) is not well understood. Studies that implement routine screening for STIs among different contraceptive users, such as the ASPIRE HIV-1 prevention trial, can be useful for identifying potential risk factors of STIs. However, the complex nature of non-random data can lead to challenges in estimation of associations for potential risk factors. In particular, if screening for the disease is not random (i.e. it is driven by symptoms or other clinical indicators), estimates of association can suffer from bias, often referred to as informative sampling bias. Time-varying predictors and potential stratification variables can further contribute to difficulty in obtaining unbiased estimates. In this paper, we estimate the association between time-varying contraceptive use and STI acquisition, in the presence of informative sampling, by extending the work Buzkova (2010). We use a two-step procedure to jointly model the non-random screening process and sexually transmitted infection risk. In the first step, inverse intensity rate ratios (IIRR) weights are estimated. In the second step, a weighted proportional rate model is fit to estimate the IIRR weighted hazard ratio. We apply the method to evaluate the relationship between hormonal contraception and risk of sexually transmitted infections among women participating in a biomedical HIV-1 prevention trial. We compare our results using the proposed weighted method to those generated using conventional approaches that do not account for potential informative sampling bias or do not use the full potential of the data. Using the IIRR weighted approach we found DMPA users have a significantly decreased hazard of T. vaginalis acquisition compared to IUD users (HR: 0.44, 95% CI: (0.25, 0.83)), which is consistent with the literature. We did not find significant increased or decreased hazard of other STIs for hormonal contraceptive users compared to non-hormonal IUD users.

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