Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care

Sex Transm Dis. 2019 Apr;46(4):e38-e41. doi: 10.1097/OLQ.0000000000000938.

Abstract

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.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms*
  • Homosexuality, Male*
  • Humans
  • Male
  • Predictive Value of Tests
  • Primary Health Care*
  • Retrospective Studies
  • Risk Factors
  • Sensitivity and Specificity
  • Sexual Partners
  • Syphilis / diagnosis*