Department of Epidemiology and Health Statistics, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Melbourne Sexual Health Centre, The Alfred, Melbourne, VIC, Australia.
Front Public Health. 2023 Jan 13;10:1031372. doi: 10.3389/fpubh.2022.1031372. eCollection 2022.
(chlamydia) is one of the most common sexually transmitted infections (STI) globally, and re-infections are common. Current Australian guidelines recommend re-testing for chlamydia 3 months after treatment to identify possible re-infection. Patient-delivered partner therapy (PDPT) has been proposed to control chlamydia re-infection among heterosexuals. We aimed to identify determinants and the prediction of chlamydia re-testing and re-infection within 1 year among heterosexuals with chlamydia to identify potential PDPT candidates.
Our baseline data included 5,806 heterosexuals with chlamydia aged ≥18 years and 2,070 re-tested for chlamydia within 1 year of their chlamydia diagnosis at the Melbourne Sexual Health Center from January 2, 2015, to May 15, 2020. We used routinely collected electronic health record (EHR) variables and machine-learning models to predict chlamydia re-testing and re-infection events. We also used logistic regression to investigate factors associated with chlamydia re-testing and re-infection.
About 2,070 (36%) of 5,806 heterosexuals with chlamydia were re-tested for chlamydia within 1 year. Among those retested, 307 (15%) were re-infected. Multivariable logistic regression analysis showed that older age (≥35 years old), female, living with HIV, being a current sex worker, patient-delivered partner therapy users, and higher numbers of sex partners were associated with an increased chlamydia re-testing within 1 year. Multivariable logistic regression analysis also showed that younger age (18-24 years), male gender, and living with HIV were associated with an increased chlamydia re-infection within 1 year. The XGBoost model was the best model for predicting chlamydia re-testing and re-infection within 1 year among heterosexuals with chlamydia; however, machine learning approaches and these self-reported answers from clients did not provide a good predictive value (AUC < 60.0%).
The low rate of chlamydia re-testing and high rate of chlamydia re-infection among heterosexuals with chlamydia highlights the need for further interventions. Better targeting of individuals more likely to be re-infected is needed to optimize the provision of PDPT and encourage the test of re-infection at 3 months.
(衣原体)是全球最常见的性传播感染(STI)之一,再感染很常见。目前澳大利亚的指南建议在治疗后 3 个月重新检测衣原体,以确定是否存在再次感染。患者提供的伴侣治疗(PDPT)已被提议用于控制异性恋者中的衣原体再感染。我们旨在确定衣原体再感染的决定因素和预测,并确定在 1 年内有衣原体感染的异性恋者中潜在的 PDPT 候选者。
我们的基线数据包括 2015 年 1 月 2 日至 2020 年 5 月 15 日期间,在墨尔本性健康中心因衣原体感染而就诊的年龄≥18 岁的 5806 名异性恋者和在衣原体感染后 1 年内重新检测衣原体的 2070 名异性恋者。我们使用常规收集的电子健康记录(EHR)变量和机器学习模型来预测衣原体的再次检测和再感染事件。我们还使用逻辑回归来调查与衣原体再次检测和再感染相关的因素。
在 5806 名有衣原体感染的异性恋者中,约有 2070 名(36%)在 1 年内重新检测了衣原体。在重新检测的人群中,有 307 名(15%)发生了再感染。多变量逻辑回归分析显示,年龄较大(≥35 岁)、女性、感染艾滋病毒、性工作者、患者提供的伴侣治疗使用者和性伴侣数量较多与 1 年内衣原体再次检测率增加有关。多变量逻辑回归分析还显示,年龄较小(18-24 岁)、男性和感染艾滋病毒与 1 年内衣原体再感染率增加有关。XGBoost 模型是预测衣原体感染后 1 年内再次检测和再感染的最佳模型;然而,机器学习方法和这些来自患者的自我报告结果并不能提供很好的预测值(AUC<60.0%)。
衣原体感染的异性恋者中,衣原体再次检测率低,再感染率高,这突出表明需要进一步干预。需要更好地针对更有可能再次感染的个体,以优化患者提供的伴侣治疗,并鼓励在 3 个月时检测再感染。