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Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm
BACKGROUND: Vaginitis is the most common gynecologic diagnosis in primary care, and most women have at least one episode during their lives. The need for standardized strategies to diagnose and treat vaginitis, both in primary care and among gynecologists, is emphasized. The Brazilian Group for Vagi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947655/ https://www.ncbi.nlm.nih.gov/pubmed/36844222 http://dx.doi.org/10.3389/fmed.2023.1040072 |
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author | Eleutério, José Campaner, Adriana Bittencourt de Carvalho, Newton Sergio |
author_facet | Eleutério, José Campaner, Adriana Bittencourt de Carvalho, Newton Sergio |
author_sort | Eleutério, José |
collection | PubMed |
description | BACKGROUND: Vaginitis is the most common gynecologic diagnosis in primary care, and most women have at least one episode during their lives. The need for standardized strategies to diagnose and treat vaginitis, both in primary care and among gynecologists, is emphasized. The Brazilian Group for Vaginal Infections (GBIV, acronym in Portuguese) aimed to update the practical approach to affected women by reviewing and discussing recent literature, and developing algorithms for diagnosis and treatment of vaginitis. METHODS: A literature search within biomedical databases PubMed and SCieLo was conducted in January 2022. The available literature was evaluated by three experienced researchers, members of the GBIV, to summarize the main data and develop practical algorithms. RESULTS AND CONCLUSION: Detailed algorithms were developed with the main goal to improve gynecological practice considering different scenarios and access to diagnostic tools, from the simplest to the most complex tests. Different age groups and specific contexts were also considered. The combination of anamnesis, gynecological examination, and complementary tests remains the basis of a proper diagnostic and therapeutic approach. Periodic updates of these algorithms are warranted as new evidence becomes available. |
format | Online Article Text |
id | pubmed-9947655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99476552023-02-24 Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm Eleutério, José Campaner, Adriana Bittencourt de Carvalho, Newton Sergio Front Med (Lausanne) Medicine BACKGROUND: Vaginitis is the most common gynecologic diagnosis in primary care, and most women have at least one episode during their lives. The need for standardized strategies to diagnose and treat vaginitis, both in primary care and among gynecologists, is emphasized. The Brazilian Group for Vaginal Infections (GBIV, acronym in Portuguese) aimed to update the practical approach to affected women by reviewing and discussing recent literature, and developing algorithms for diagnosis and treatment of vaginitis. METHODS: A literature search within biomedical databases PubMed and SCieLo was conducted in January 2022. The available literature was evaluated by three experienced researchers, members of the GBIV, to summarize the main data and develop practical algorithms. RESULTS AND CONCLUSION: Detailed algorithms were developed with the main goal to improve gynecological practice considering different scenarios and access to diagnostic tools, from the simplest to the most complex tests. Different age groups and specific contexts were also considered. The combination of anamnesis, gynecological examination, and complementary tests remains the basis of a proper diagnostic and therapeutic approach. Periodic updates of these algorithms are warranted as new evidence becomes available. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947655/ /pubmed/36844222 http://dx.doi.org/10.3389/fmed.2023.1040072 Text en Copyright © 2023 Eleutério, Campaner and de Carvalho. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Eleutério, José Campaner, Adriana Bittencourt de Carvalho, Newton Sergio Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title | Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title_full | Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title_fullStr | Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title_full_unstemmed | Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title_short | Diagnosis and treatment of infectious vaginitis: Proposal for a new algorithm |
title_sort | diagnosis and treatment of infectious vaginitis: proposal for a new algorithm |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947655/ https://www.ncbi.nlm.nih.gov/pubmed/36844222 http://dx.doi.org/10.3389/fmed.2023.1040072 |
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