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Comment
. 2014 Dec;32(12):1534-5.
doi: 10.1016/j.ajem.2014.09.016. Epub 2014 Sep 19.

In reply to: "Validating an HIV risk score"

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Comment

In reply to: "Validating an HIV risk score"

Yu-Hsiang Hsieh et al. Am J Emerg Med. 2014 Dec.
No abstract available

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Figures

Figure 1
Figure 1
Expected (predicted) versus observed prevalence (%) of newly-diagnosed HIV infection using an abbreviated version of Denver HIV Risk Score.
Figure 2
Figure 2
Discrimination of an abbreviated version of the Denver HIV Risk Score (DHRS) to identify patients with newly-diagnosed HIV infection. Points on the curve represent specific DHRS values, as labeled. The area under the curve was 0.75 (95% confidence interval: 0.71 – 0.79).

Comment on

References

    1. Hsieh YH, Haukoos JS, Rothman RE. Validation of an abbreviated version of the Denver HIV Risk Score for prediction of HIV infection in an urban emergency department. Am J Emerg Med. 2014;32:775–779. - PMC - PubMed
    1. Haukoos JS, Lyons MS, Lindsell CJ, et al. Derivation and validation of the Denver Human Immunodeficiency Virus (HIV) risk score for targeted HIV screening. Am J Epidemiol. 2012;175:838–846. - PMC - PubMed
    1. Haukoos J, Hopkins E, Bucossi M, Lyons M, Rothman R, White D, Al-Tayyib A, Bradley-Springer L, Sabel A. Thrun W for the Denver Emergency Department HIV Research Consortium. Validation of the refined Denver HIV Risk Score using a national HIV testing cohort.. Conference on Retroviruses and Opportunistic Infections; Boston, Massachusetts. March 5, 2014; [Abstract]
    1. [August 29, 2014];The HIV Testing using Enhanced Screening Techniques in Emergency Departments (TESTED) Trial. 2014 (at www.DenverEDHIV.org.) (ClinicalTrials.gov Identifier: NCT01781949)
    1. Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. Springer; New York: 2009.