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首页> 外文期刊>Sexually transmitted diseases >Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care
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Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care

机译:评估4种算法以鉴定与从事初级保健性发生性关系的艾滋病毒阳性男性中的事件梅毒

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摘要

We developed 4 algorithms for syphilis among HIV-positive men who have sex with men who engaged in primary care in 2016 to 2017. Clinician-based diagnosis from chart reviews was the gold standard. Sensitivities ranged from 74.2% to 93.9%. Specificities were greater than 99% with positive and negative predictive values of greater than 95%. Algorithms that incorporated treatment data performed best.
机译:我们开发了4种艾滋病毒阳性男性的梅毒算法,他们与2016年至2017年从事初级保健的男性发生性关系。根据图表评论的基于临床医生的诊断是黄金标准。 敏感性范围从74.2%到93.9%。 阳性和阴性预测值大于95%的比例大于99%。 结合治疗数据的算法最佳。

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