External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men

A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed u...

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Veröffentlicht in:Medicine (Baltimore) 2019-07, Vol.98 (29), p.e16375-e16375
Hauptverfasser: Luo, Qianqian, Huang, Xiaojie, Li, Lingling, Ding, Yingying, Mi, Guodong, Scott, Sarah Robbins, Zhao, Yan, Rou, Keming, He, Na, Wu, Hao, Wu, Zunyou
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container_end_page e16375
container_issue 29
container_start_page e16375
container_title Medicine (Baltimore)
container_volume 98
creator Luo, Qianqian
Huang, Xiaojie
Li, Lingling
Ding, Yingying
Mi, Guodong
Scott, Sarah Robbins
Zhao, Yan
Rou, Keming
He, Na
Wu, Hao
Wu, Zunyou
description A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.
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We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000016375</identifier><identifier>PMID: 31335685</identifier><language>eng</language><publisher>United States: the Author(s). 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The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.</abstract><cop>United States</cop><pub>the Author(s). Published by Wolters Kluwer Health, Inc</pub><pmid>31335685</pmid><doi>10.1097/MD.0000000000016375</doi><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
Area Under Curve
Beijing - epidemiology
Cohort Studies
Decision Support Techniques
HIV Infections - epidemiology
HIV Infections - prevention & control
HIV Infections - transmission
Homosexuality, Male
Humans
Male
Observational Study
Reproducibility of Results
Retrospective Studies
Risk Assessment - methods
Risk Factors
ROC Curve
Sexual and Gender Minorities - statistics & numerical data
title External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men
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