Rowlinson Emily, Hughes James P, Khosropour Christine M, Manhart Lisa E, Golden Matthew R, Barbee Lindley A
Department of Epidemiology, University of Washington, Seattle, Washington, USA
Biostatistics, University of Washington, Seattle, Washington, USA.
Sex Transm Infect. 2023 Aug 17;99(6):380-385. doi: 10.1136/sextrans-2022-055608.
Epidemiological treatment of persons who are sexual contacts to partners with (NG) and (CT) often results in treatment of uninfected persons, which may increase the risk of antibiotic-resistant infections. We sought to identify the predictors of NG and/or CT infections to develop a risk score that could be used to limit epidemiological treatment to persons most likely to have these infections.
We included visits to the Public Health - Seattle & King County Sexual Health Clinic by asymptomatic cisgender men who have sex with men (MSM) aged ≥18 who presented as a sexual contact to partner(s) with CT or NG infection between 2011 and 2019. We used logistic regression to estimate the odds of CT and/or NG infections associated with demographic and clinical predictors, selecting the final set of predictors using the Akaike information criteria and obtaining score weights from model coefficients. We used a cross-validation approach to obtain average model discrimination from each of 10 models, leaving out 10% of the data, and evaluated sensitivity and specificity at various score cut-offs.
The final model for predicting NG or CT infection included seven predictors (age <35 years, HIV status, receptive oral sex in the prior 2 months, CT diagnosis, condomless receptive anal intercourse, condomless insertive anal intercourse and methamphetamine use in the prior 12 months). Model discrimination, as measured by the receiver operating curve, was 0.60 (95% CI 0.54 to 0.66). Sensitivity for detection of infection was ≥90% for scores ≥3, ≥5 and ≥7; specificity for these cut-offs was <16%. At scores ≥9, ≥12 and ≥14, specificity increased but sensitivity decreased to ≤76%.
Our risk score did not sufficiently discriminate between asymptomatic MSM with and without NG/CT infection. Additional studies evaluating epidemiological treatment as a standard of care in diverse populations are needed to guide best practices in the management of contacts to NG/CT infection.
对淋病奈瑟菌(NG)和沙眼衣原体(CT)感染者的性伴侣进行流行病学治疗,常常会导致未感染者接受治疗,这可能会增加抗生素耐药性感染的风险。我们试图确定NG和/或CT感染的预测因素,以制定一个风险评分,用于将流行病学治疗限制在最有可能感染这些病原体的人群中。
我们纳入了2011年至2019年间,年龄≥18岁、无症状的顺性别男男性行为者(MSM)到西雅图和金县公共卫生性健康诊所就诊的病例,这些MSM作为CT或NG感染伴侣(的性接触者)前来就诊。我们使用逻辑回归来估计与人口统计学和临床预测因素相关的CT和/或NG感染几率,使用赤池信息准则选择最终的预测因素集,并从模型系数中获得评分权重。我们采用交叉验证方法,从10个模型中的每一个模型中获取平均模型判别力,每次留出10%的数据,并在不同的评分临界值下评估敏感性和特异性。
预测NG或CT感染的最终模型包括7个预测因素(年龄<35岁、HIV感染状况、前2个月内有接受口交、CT诊断、无保护的接受肛交、无保护的插入式肛交以及前12个月内使用甲基苯丙胺)。通过受试者工作特征曲线衡量,模型判别力为0.60(95%CI 0.54至0.66)。对于评分≥3、≥5和≥7的情况,感染检测的敏感性≥90%;这些临界值下的特异性<16%。在评分≥9、≥12和≥14时,特异性增加,但敏感性降至≤76%。
我们的风险评分未能充分区分有无NG/CT感染的无症状MSM。需要开展更多研究,评估将流行病学治疗作为不同人群的一种标准治疗方法,以指导对NG/CT感染接触者管理的最佳实践。