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: email@example.com.
Received for publication September 6, 2018, and accepted October 23, 2018.