Secondary Logo

Institutional members access full text with Ovid®

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

Menza, Timothy William, MD, PhD; Levine, Kenneth; Grasso, Chris, MPH; Mayer, Kenneth, MD

Sexually Transmitted Diseases: April 2019 - Volume 46 - Issue 4 - p e38–e41
doi: 10.1097/OLQ.0000000000000938

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.

A study of 4 algorithms for syphilis showed that algorithms incorporating testing and treatment data perform best.

From The Fenway Institute, Boston, MA

Conflict of Interest: None declared.

Sources of Funding: The funding for this study is NIAID R24 AI067039 nationally and P30 AI060354 at Fenway/Harvard.

Correspondence: Timothy William Menza, MD, PhD, HIV/STD/TB Section, Public Health Division, Oregon Health Authority, 800 NE Oregon St, Portland, OR 97232. E-mail:

Received for publication September 6, 2018, and accepted October 23, 2018.

© Copyright 2019 American Sexually Transmitted Diseases Association