Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University, Sapporo, Japan.
PRESTO, JST, Kawaguchi, Saitama, Japan.
Sex Transm Infect. 2018 Aug;94(5):372-376. doi: 10.1136/sextrans-2017-053336. Epub 2017 Dec 4.
To investigate whether observational studies of HIV and herpes simplex virus type 2 (HSV-2) infections have the capacity to assess the HIV/HSV-2 epidemiological synergy.
An individual-based Monte Carlo model was used to simulate HIV/HSV-2 epidemics in two scenarios: no HIV/HSV-2 biological interaction and HSV-2 seropositivity enhancing HIV acquisition. Cross-sectional observational studies were simulated by sampling individuals from the population to assess resulting crude and adjusted ORs of the HIV/HSV-2 association. Meta-analyses were conducted to estimate the pooled mean ORs. Impact of under-reporting of sexual behaviour and miscapture of high-risk individuals was assessed through sensitivity analyses.
Assuming no HIV/HSV-2 biological interaction, the crude HIV/HSV-2 OR ranged between 1.38 and 9.93, with a pooled mean of 6.45 (95% CI 5.81 to 7.17). Adjustment for the number of sexual partners over last year, over lifetime and for both partner numbers simultaneously reduced the mean OR to 5.45 (95% CI 4.90 to 6.06), 3.70 (95% CI 3.32 to 4.12) and 3.54 (95% CI 3.17 to 3.94), respectively. Assuming HIV/HSV-2 biological interaction, the crude OR ranged between 3.44 and 9.95, with a pooled mean of 8.05 (95% CI 7.14 to 9.07). The adjustments reduced the mean OR to 7.00 (95% CI 6.21 to 7.90), 3.76 (95% CI 3.32 to 4.25) and 3.68 (95% CI 3.25 to 4.17), respectively. Under-reporting of partners reduced the confounder-adjustment effects. Miscapture of high-risk individuals considerably lowered the estimated ORs.
It is difficult to control for sexual-behaviour confounding in observational studies. The observed HIV/HSV-2 association appears more consistent with two infections sharing the same mode of transmission, rather than with HSV-2 enhancing HIV acquisition.
研究 HIV 和单纯疱疹病毒 2 型(HSV-2)感染的观察性研究是否有能力评估 HIV/HSV-2 的流行病学协同作用。
采用个体蒙特卡罗模型模拟两种情况下的 HIV/HSV-2 流行情况:无 HIV/HSV-2 生物学相互作用和 HSV-2 阳性增强 HIV 获得。通过从人群中抽样评估 HIV/HSV-2 相关性的原始和调整比值比(OR)来模拟横断面观察性研究。进行荟萃分析以估计汇总平均 OR。通过敏感性分析评估性行为报告不足和高危人群错误捕获的影响。
假设无 HIV/HSV-2 生物学相互作用,HIV/HSV-2 的原始 OR 范围为 1.38 至 9.93,汇总平均值为 6.45(95%CI 5.81 至 7.17)。调整过去一年、一生中以及同时调整两个伴侣数量的性伴侣数量,将平均 OR 分别降低至 5.45(95%CI 4.90 至 6.06)、3.70(95%CI 3.32 至 4.12)和 3.54(95%CI 3.17 至 3.94)。假设 HIV/HSV-2 生物学相互作用,HIV/HSV-2 的原始 OR 范围为 3.44 至 9.95,汇总平均值为 8.05(95%CI 7.14 至 9.07)。调整将平均 OR 分别降低至 7.00(95%CI 6.21 至 7.90)、3.76(95%CI 3.32 至 4.25)和 3.68(95%CI 3.25 至 4.17)。伴侣报告不足会降低混杂因素调整的效果。高危人群错误捕获会大大降低估计的 OR。
在观察性研究中很难控制性行为混杂因素。观察到的 HIV/HSV-2 相关性似乎更符合两种感染具有相同的传播模式,而不是 HSV-2 增强 HIV 获得。