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. 2015 Apr 15;68(5):599-603.
doi: 10.1097/QAI.0000000000000518.

Brief report: Validation of a quantitative HIV risk prediction tool using a national HIV testing cohort

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Brief report: Validation of a quantitative HIV risk prediction tool using a national HIV testing cohort

Jason S Haukoos et al. J Acquir Immune Defic Syndr. .

Abstract

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.

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Figures

Figure 1
Figure 1
Prevalence of human immunodeficiency virus (HIV) infection within each risk score category in the validation sample, newly identified HIV infections and all HIV infections, CDC PEMS data, 2008–2010. The refined Denver HIV Risk Score ranges from −4 to +73. Bars, 95% confidence interval.

References

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