The algorithms used for the diagnosis of syphilis: an integrative review

Syphilis is an infectious disease caused by the bacterium Treponema pallidum (T. pallidum), which can progress to a chronic disease, with irreversible sequelae for affected individuals. Its transmission is by unprotected sexual contact, blood transfusion or vertical transmission. The disease is clas...

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Detalles Bibliográficos
Autores: Peçanha Júnior, Claudio, Brasil, Girlandia Alexandre
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Federal de Itajubá (UNIFEI)
Repositorio:Research, Society and Development
Idioma:portugués
OAI Identifier:oai:ojs.pkp.sfu.ca:article/31447
Acceso en línea:https://rsdjournal.org/index.php/rsd/article/view/31447
Access Level:acceso abierto
Palabra clave:Sífilis
Treponema pallidum
Algoritmos de Diagnósticos
Pruebas serológicas.
Algoritmos de Diagnóstico
Testes sorológicos.
Syphilis
Diagnostic Algorithms
Serological tests.
Descripción
Sumario:Syphilis is an infectious disease caused by the bacterium Treponema pallidum (T. pallidum), which can progress to a chronic disease, with irreversible sequelae for affected individuals. Its transmission is by unprotected sexual contact, blood transfusion or vertical transmission. The disease is classified as primary, secondary, latent or tertiary. Despite the request for prevention, in 2020 the World Health Organization (WHO) counted 7 million new cases worldwide, so accurate diagnosis becomes essential. Currently, there is no laboratory test that is considered a reliable gold standard, so different diagnostic algorithms have been applied, three of which are the most common for serological diagnosis, being the traditional, reverse algorithm and the European Center for Disease Prevention and Control (ECDC). Therefore, the present study aimed to perform an integrative review on the algorithms used for the diagnosis of syphilis, for this purpose the following descriptors "Syphilis" and "Treponema pallidum" and "Diagnostic algorithms" and "Serological tests" were used in the different databases for the selection of articles. In total, 21 articles were included in the study. After analyzing the included articles, it was evidenced that the reverse algorithm has a better ability to detect cases of early and late syphilis. Quantitative non-treponemais trials on active infections and treatment follow-up are recommended. Despite this data, the choice of which algorithm to use should be based on local epidemiology, workload, automation needs, and available budget.