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Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care.
Menza, Timothy William; Levine, Kenneth; Grasso, Chris; Mayer, Kenneth.
Afiliação
  • Menza TW; From The Fenway Institute, Boston, MA.
Sex Transm Dis ; 46(4): e38-e41, 2019 04.
Article em En | MEDLINE | ID: mdl-30383620
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Algoritmos / Sífilis / Homossexualidade Masculina Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Sex Transm Dis Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Marrocos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Algoritmos / Sífilis / Homossexualidade Masculina Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Sex Transm Dis Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Marrocos