A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/jmv.27398 http://hdl.handle.net/11449/222662 |
Resumo: | We documented the outcome of an over 10-year (2011–2021) effort to diagnose acute and early HIV infections (AEHI) in an Infectious Diseases Outpatient Clinic with limited resources. Of a total of 132, 119 HIV-RNA tests were performed from 2017 to 2020, 12 cases were identified, using a simple algorithm: risk exposure of 6 weeks or less before the visit and/or symptoms compatible with acute retroviral syndrome 7–30 days after exposure and/or undetermined 3rd generation rapid diagnostic test or serology. AEHI diagnoses varied from 2.4% among asymptomatic to 25% for undetermined serology cases using this simple screening applicable to different settings. |
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A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countriesacute HIV infectiondiagnosisHIV-1rapid diagnostic testviral loadWe documented the outcome of an over 10-year (2011–2021) effort to diagnose acute and early HIV infections (AEHI) in an Infectious Diseases Outpatient Clinic with limited resources. Of a total of 132, 119 HIV-RNA tests were performed from 2017 to 2020, 12 cases were identified, using a simple algorithm: risk exposure of 6 weeks or less before the visit and/or symptoms compatible with acute retroviral syndrome 7–30 days after exposure and/or undetermined 3rd generation rapid diagnostic test or serology. AEHI diagnoses varied from 2.4% among asymptomatic to 25% for undetermined serology cases using this simple screening applicable to different settings.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Infectious Diseases Outpatient Clinic Santo André Health SecretaryVirology Center Adolfo Lutz InstituteSanto André Regional Center Adolfo Lutz InstituteBioprocess and Biotecnology Engeneering São Paulo State University—UNESP Avenida UniversitáriaBioprocess and Biotecnology Engeneering São Paulo State University—UNESP Avenida UniversitáriaSanto André Health SecretaryAdolfo Lutz InstituteUniversidade Estadual Paulista (UNESP)Matsuda, Elaine MonteiroAhagon, Cintia MayumiCoelho, Luana Portes OzórioCampos, Ivana BarrosColpas, Daniela RodriguesCampos, Norberto CamiloLópez-Lopes, Giselle Ibete SilvaSilva, Valeria Oliveirade Oliveira, Isabela Penteriche [UNESP]Brígido, Luís Fernando de Macedo2022-04-28T19:46:00Z2022-04-28T19:46:00Z2022-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article791-794http://dx.doi.org/10.1002/jmv.27398Journal of Medical Virology, v. 94, n. 2, p. 791-794, 2022.1096-90710146-6615http://hdl.handle.net/11449/22266210.1002/jmv.273982-s2.0-85117240248Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Medical Virologyinfo:eu-repo/semantics/openAccess2022-04-28T19:46:00Zoai:repositorio.unesp.br:11449/222662Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:52:28.985587Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
title |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
spellingShingle |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries Matsuda, Elaine Monteiro acute HIV infection diagnosis HIV-1 rapid diagnostic test viral load |
title_short |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
title_full |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
title_fullStr |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
title_full_unstemmed |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
title_sort |
A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries |
author |
Matsuda, Elaine Monteiro |
author_facet |
Matsuda, Elaine Monteiro Ahagon, Cintia Mayumi Coelho, Luana Portes Ozório Campos, Ivana Barros Colpas, Daniela Rodrigues Campos, Norberto Camilo López-Lopes, Giselle Ibete Silva Silva, Valeria Oliveira de Oliveira, Isabela Penteriche [UNESP] Brígido, Luís Fernando de Macedo |
author_role |
author |
author2 |
Ahagon, Cintia Mayumi Coelho, Luana Portes Ozório Campos, Ivana Barros Colpas, Daniela Rodrigues Campos, Norberto Camilo López-Lopes, Giselle Ibete Silva Silva, Valeria Oliveira de Oliveira, Isabela Penteriche [UNESP] Brígido, Luís Fernando de Macedo |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Santo André Health Secretary Adolfo Lutz Institute Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Matsuda, Elaine Monteiro Ahagon, Cintia Mayumi Coelho, Luana Portes Ozório Campos, Ivana Barros Colpas, Daniela Rodrigues Campos, Norberto Camilo López-Lopes, Giselle Ibete Silva Silva, Valeria Oliveira de Oliveira, Isabela Penteriche [UNESP] Brígido, Luís Fernando de Macedo |
dc.subject.por.fl_str_mv |
acute HIV infection diagnosis HIV-1 rapid diagnostic test viral load |
topic |
acute HIV infection diagnosis HIV-1 rapid diagnostic test viral load |
description |
We documented the outcome of an over 10-year (2011–2021) effort to diagnose acute and early HIV infections (AEHI) in an Infectious Diseases Outpatient Clinic with limited resources. Of a total of 132, 119 HIV-RNA tests were performed from 2017 to 2020, 12 cases were identified, using a simple algorithm: risk exposure of 6 weeks or less before the visit and/or symptoms compatible with acute retroviral syndrome 7–30 days after exposure and/or undetermined 3rd generation rapid diagnostic test or serology. AEHI diagnoses varied from 2.4% among asymptomatic to 25% for undetermined serology cases using this simple screening applicable to different settings. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:46:00Z 2022-04-28T19:46:00Z 2022-02-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1002/jmv.27398 Journal of Medical Virology, v. 94, n. 2, p. 791-794, 2022. 1096-9071 0146-6615 http://hdl.handle.net/11449/222662 10.1002/jmv.27398 2-s2.0-85117240248 |
url |
http://dx.doi.org/10.1002/jmv.27398 http://hdl.handle.net/11449/222662 |
identifier_str_mv |
Journal of Medical Virology, v. 94, n. 2, p. 791-794, 2022. 1096-9071 0146-6615 10.1002/jmv.27398 2-s2.0-85117240248 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Medical Virology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
791-794 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129469339140096 |