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

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dc.contributor.authorMatsuda, Elaine Monteiro
dc.contributor.authorAhagon, Cintia Mayumi
dc.contributor.authorCoelho, Luana Portes Ozório
dc.contributor.authorCampos, Ivana Barros
dc.contributor.authorColpas, Daniela Rodrigues
dc.contributor.authorCampos, Norberto Camilo
dc.contributor.authorLópez-Lopes, Giselle Ibete Silva
dc.contributor.authorSilva, Valeria Oliveira
dc.contributor.authorde Oliveira, Isabela Penteriche [UNESP]
dc.contributor.authorBrígido, Luís Fernando de Macedo
dc.contributor.institutionSanto André Health Secretary
dc.contributor.institutionAdolfo Lutz Institute
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:46:00Z
dc.date.available2022-04-28T19:46:00Z
dc.date.issued2022-02-01
dc.description.abstractWe 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.en
dc.description.affiliationInfectious Diseases Outpatient Clinic Santo André Health Secretary
dc.description.affiliationVirology Center Adolfo Lutz Institute
dc.description.affiliationSanto André Regional Center Adolfo Lutz Institute
dc.description.affiliationBioprocess and Biotecnology Engeneering São Paulo State University—UNESP Avenida Universitária
dc.description.affiliationUnespBioprocess and Biotecnology Engeneering São Paulo State University—UNESP Avenida Universitária
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent791-794
dc.identifierhttp://dx.doi.org/10.1002/jmv.27398
dc.identifier.citationJournal of Medical Virology, v. 94, n. 2, p. 791-794, 2022.
dc.identifier.doi10.1002/jmv.27398
dc.identifier.issn1096-9071
dc.identifier.issn0146-6615
dc.identifier.scopus2-s2.0-85117240248
dc.identifier.urihttp://hdl.handle.net/11449/222662
dc.language.isoeng
dc.relation.ispartofJournal of Medical Virology
dc.sourceScopus
dc.subjectacute HIV infection
dc.subjectdiagnosis
dc.subjectHIV-1
dc.subjectrapid diagnostic test
dc.subjectviral load
dc.titleA simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countriesen
dc.typeArtigo
unesp.author.orcid0000-0002-0254-4154[1]
unesp.author.orcid0000-0001-8233-0369[2]
unesp.author.orcid0000-0003-0334-0572[4]
unesp.author.orcid0000-0002-5346-9633[8]
unesp.author.orcid0000-0003-2202-0443[9]
unesp.author.orcid0000-0002-1022-7837[10]

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