A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries

Detalhes bibliográficos
Autor(a) principal: Matsuda, Elaine Monteiro
Data de Publicação: 2022
Outros Autores: 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
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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spelling 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