Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA

Detalhes bibliográficos
Autor(a) principal: Cordeiro, Marli Tenório
Data de Publicação: 2009
Outros Autores: Braga-Neto, Ulisses, Nogueira, Rita Maria Ribeiro, Marques, Ernesto T. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/27466
Resumo: Os autores gostariam de agradecer o apoio do Instituto Nacional de Alergia e Doenças Infecciosas (NIAID / NIH), sob as concessões U19 AI56541 e N01 AI 40085. O Dr. Braga-Neto gostaria de agradecer o apoio da Pesquisa Nacional Brasileira. Conselho Nacional (CNPq), no âmbito do Subsídio DCR 35.0382 / 2004.2. Os financiadores não tiveram nenhum papel no desenho do estudo, coleta e análise de dados, decisão de publicar ou preparação do manuscrito.
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spelling Cordeiro, Marli TenórioBraga-Neto, UlissesNogueira, Rita Maria RibeiroMarques, Ernesto T. A.2018-07-11T13:12:25Z2018-07-11T13:12:25Z2009CORDEIRO, M. T. et al. Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA. PloS One, v. 4, n. 4, p. e4945, 2009.1932-6203https://www.arca.fiocruz.br/handle/icict/2746610.1371/journal.pone.0004945Os autores gostariam de agradecer o apoio do Instituto Nacional de Alergia e Doenças Infecciosas (NIAID / NIH), sob as concessões U19 AI56541 e N01 AI 40085. O Dr. Braga-Neto gostaria de agradecer o apoio da Pesquisa Nacional Brasileira. Conselho Nacional (CNPq), no âmbito do Subsídio DCR 35.0382 / 2004.2. Os financiadores não tiveram nenhum papel no desenho do estudo, coleta e análise de dados, decisão de publicar ou preparação do manuscrito.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil / Secretaria de Saúde do Estado de Pernambuco. Laboratório Central de Saúde Pública. Recife, PE, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil / Texas A&M University. College Station. Department of Electrical and Computer Engineering. Texas, United States of America.Fiocruz. Instituto Oswaldo Cruz. Laboratório de Flavivirus. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil / The Johns Hopkins School of Medicine. Division of Infectious Diseases. Department of Medicine. Baltimore, Maryland, United States of America / The Johns Hopkins School of Medicine. Department of Pharmacology and Molecular Sciences. Baltimore, Maryland, United States of America.Dengue virus infection causes a wide spectrum of illness, ranging from sub-clinical to severe disease. Severe dengue is associated with sequential viral infections. A strict definition of primary versus secondary dengue infections requires a combination of several tests performed at different stages of the disease, which is not practical. Go to: Methods and Findings We developed a simple method to classify dengue infections as primary or secondary based on the levels of dengue-specific IgG. A group of 109 dengue infection patients were classified as having primary or secondary dengue infection on the basis of a strict combination of results from assays of antigen-specific IgM and IgG, isolation of virus and detection of the viral genome by PCR tests performed on multiple samples, collected from each patient over a period of 30 days. The dengue-specific IgG levels of all samples from 59 of the patients were analyzed by linear discriminant analysis (LDA), and one- and two-dimensional classifiers were designed. The one-dimensional classifier was estimated by bolstered resubstitution error estimation to have 75.1% sensitivity and 92.5% specificity. The two-dimensional classifier was designed by taking also into consideration the number of days after the onset of symptoms, with an estimated sensitivity and specificity of 91.64% and 92.46%. The performance of the two-dimensional classifier was validated using an independent test set of standard samples from the remaining 50 patients. The classifications of the independent set of samples determined by the two-dimensional classifiers were further validated by comparing with two other dengue classification methods: hemagglutination inhibition (HI) assay and an in-house anti-dengue IgG-capture ELISA method. The decisions made with the two-dimensional classifier were in 100% accordance with the HI assay and 96% with the in-house ELISA. Go to: Conclusions Once acute dengue infection has been determined, a 2-D classifier based on common dengue virus IgG kits can reliably distinguish primary and secondary dengue infections. Software for calculation and validation of the 2-D classifier is made available for download.engDenguePCRInfecçãoDenguePCRInfectionDoença AgudaDengue / classificaçãoDengue / imunologiaEnsaio de Imunoadsorção EnzimáticaFêmeaTestes de hemaglutinaçãoHumanosImunoglobulina G / imunologiaMasculinoReação em Cadeia da PolimerasePadrões de referênciaSensibilidade e EspecificidadeReliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISAinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83092https://www.arca.fiocruz.br/bitstream/icict/27466/1/license.txt447f2497af1ef5cf99b5c07f6fa18dceMD51ORIGINALReliable Classifier to Differentiate Primary and.pdfReliable Classifier to Differentiate Primary 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dc.title.pt_BR.fl_str_mv Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
title Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
spellingShingle Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
Cordeiro, Marli Tenório
Dengue
PCR
Infecção
Dengue
PCR
Infection
Doença Aguda
Dengue / classificação
Dengue / imunologia
Ensaio de Imunoadsorção Enzimática
Fêmea
Testes de hemaglutinação
Humanos
Imunoglobulina G / imunologia
Masculino
Reação em Cadeia da Polimerase
Padrões de referência
Sensibilidade e Especificidade
title_short Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
title_full Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
title_fullStr Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
title_full_unstemmed Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
title_sort Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA
author Cordeiro, Marli Tenório
author_facet Cordeiro, Marli Tenório
Braga-Neto, Ulisses
Nogueira, Rita Maria Ribeiro
Marques, Ernesto T. A.
author_role author
author2 Braga-Neto, Ulisses
Nogueira, Rita Maria Ribeiro
Marques, Ernesto T. A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Cordeiro, Marli Tenório
Braga-Neto, Ulisses
Nogueira, Rita Maria Ribeiro
Marques, Ernesto T. A.
dc.subject.other.pt_BR.fl_str_mv Dengue
PCR
Infecção
topic Dengue
PCR
Infecção
Dengue
PCR
Infection
Doença Aguda
Dengue / classificação
Dengue / imunologia
Ensaio de Imunoadsorção Enzimática
Fêmea
Testes de hemaglutinação
Humanos
Imunoglobulina G / imunologia
Masculino
Reação em Cadeia da Polimerase
Padrões de referência
Sensibilidade e Especificidade
dc.subject.en.pt_BR.fl_str_mv Dengue
PCR
Infection
dc.subject.decs.pt_BR.fl_str_mv Doença Aguda
Dengue / classificação
Dengue / imunologia
Ensaio de Imunoadsorção Enzimática
Fêmea
Testes de hemaglutinação
Humanos
Imunoglobulina G / imunologia
Masculino
Reação em Cadeia da Polimerase
Padrões de referência
Sensibilidade e Especificidade
description Os autores gostariam de agradecer o apoio do Instituto Nacional de Alergia e Doenças Infecciosas (NIAID / NIH), sob as concessões U19 AI56541 e N01 AI 40085. O Dr. Braga-Neto gostaria de agradecer o apoio da Pesquisa Nacional Brasileira. Conselho Nacional (CNPq), no âmbito do Subsídio DCR 35.0382 / 2004.2. Os financiadores não tiveram nenhum papel no desenho do estudo, coleta e análise de dados, decisão de publicar ou preparação do manuscrito.
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2018-07-11T13:12:25Z
dc.date.available.fl_str_mv 2018-07-11T13:12:25Z
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.citation.fl_str_mv CORDEIRO, M. T. et al. Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA. PloS One, v. 4, n. 4, p. e4945, 2009.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/27466
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0004945
identifier_str_mv CORDEIRO, M. T. et al. Reliable classifier to differentiate primary and secondary acute dengue infection based on IgG ELISA. PloS One, v. 4, n. 4, p. e4945, 2009.
1932-6203
10.1371/journal.pone.0004945
url https://www.arca.fiocruz.br/handle/icict/27466
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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