Validation of a Quantitative HIV Risk Prediction Tool Using a National HIV Testing Cohort
Validation of a Quantitative HIV Risk Prediction Tool Using a National HIV Testing Cohort
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DOI：
10.1097/qai.0000000000000518
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发表时间：
2015-04-15
影响因子：
3.6
通讯作者：
Thrun, Mark W.
中科院分区：
文献类型：
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作者：
Haukoos, Jason S.;Hopkins, Emily;Thrun, Mark W.
建议对艾滋病毒检测进行常规筛查。艾滋病毒风险评估仍然很重要。我们的目标是使用疾病控制和预防中心的全国队列来验证丹佛艾滋病毒风险评分。包括13岁及以上的患者，进行了4830,941次艾滋病毒检测，发现了0.6%的新诊断感染。在所有就诊中，9%为极低风险(HIV患病率=0.20%)，27%为低危(HIV患病率=0.17%)，41%为中等风险(HIV患病率=0.39%)，17%为高危(HIV患病率=1.19%)，6%为极高危(HIV患病率=3.57%)。丹佛艾滋病毒风险评分准确地将患者归入不同的艾滋病毒风险组。
Routine screening is recommended for HIV detection. HIV risk estimation remains important. Our goal was to validate the Denver HIV Risk Score using a national cohort from the Centers for Disease Control and Prevention. Patients of 13 years and older were included, 4,830,941 HIV tests were performed, and 0.6% newly diagnosed infections were identified. Of all visits, 9% were very low risk (HIV prevalence = 0.20%), 27% low risk (HIV prevalence = 0.17%), 41% moderate risk (HIV prevalence = 0.39%), 17% high risk (HIV prevalence = 1.19%), and 6% very high risk (HIV prevalence = 3.57%). The Denver HIV Risk Score accurately categorized patients into different HIV risk groups.