The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors

Detalhes bibliográficos
Autor(a) principal: Langhi Junior,Dante M.
Data de Publicação: 2002
Outros Autores: Bordin,José O., Castelo,Adauto, Walter,Stephen D., Moraes-Souza,Hélio, Stumpf,Robert J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Infectious Diseases
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702002000400005
Resumo: The main strategy to prevent transfusion-associated Chagas' disease is the identification of T. Cruzi-infected blood donors by serological screening tests, however there is no perfect serological gold standard. We evaluated an enzyme immunoassay (EIA), an indirect hemaglutination (IHA), and an indirect immunofluorescence (IIF) test for detecting T. Cruzi antibodies in Brazilian blood donors. The results were submitted to latent class analysis, and a radioimmunopreciptation (RIPA) test was performed on repeatedly positive samples. Among 1951 donors, 11 (0.56%) were positive by EIA, 6 (0.31%) by IHA and 16 (0.82%) by IIF. Six samples were positive with all tests, while 4 reacted with EIA and IIF. The RIPA was positive in 6 (75.0%), 7 (66.6%), and 4 (54.0%) samples reacting by the EIA, IHA and IIF tests, respectively. The latent class model detected a high sensitivity rate (100%) for the EIA and IIF, and a specificity rate of 99.95% and 99.69% for the EIA and IIF tests, respectively. The probability of being case according to the model was 99.92% when both EIA and IIF were positive, and 100% for the association of EIA, IIF, and IHA.
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spelling The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donorsChaga's diseaseblood donorsdiagnostic testlatent class analysisThe main strategy to prevent transfusion-associated Chagas' disease is the identification of T. Cruzi-infected blood donors by serological screening tests, however there is no perfect serological gold standard. We evaluated an enzyme immunoassay (EIA), an indirect hemaglutination (IHA), and an indirect immunofluorescence (IIF) test for detecting T. Cruzi antibodies in Brazilian blood donors. The results were submitted to latent class analysis, and a radioimmunopreciptation (RIPA) test was performed on repeatedly positive samples. Among 1951 donors, 11 (0.56%) were positive by EIA, 6 (0.31%) by IHA and 16 (0.82%) by IIF. Six samples were positive with all tests, while 4 reacted with EIA and IIF. The RIPA was positive in 6 (75.0%), 7 (66.6%), and 4 (54.0%) samples reacting by the EIA, IHA and IIF tests, respectively. The latent class model detected a high sensitivity rate (100%) for the EIA and IIF, and a specificity rate of 99.95% and 99.69% for the EIA and IIF tests, respectively. The probability of being case according to the model was 99.92% when both EIA and IIF were positive, and 100% for the association of EIA, IIF, and IHA.Brazilian Society of Infectious Diseases2002-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702002000400005Brazilian Journal of Infectious Diseases v.6 n.4 2002reponame:Brazilian Journal of Infectious Diseasesinstname:Brazilian Society of Infectious Diseases (BSID)instacron:BSID10.1590/S1413-86702002000400005info:eu-repo/semantics/openAccessLanghi Junior,Dante M.Bordin,José O.Castelo,AdautoWalter,Stephen D.Moraes-Souza,HélioStumpf,Robert J.eng2003-04-01T00:00:00Zoai:scielo:S1413-86702002000400005Revistahttps://www.bjid.org.br/https://old.scielo.br/oai/scielo-oai.phpbjid@bjid.org.br||lgoldani@ufrgs.br1678-43911413-8670opendoar:2003-04-01T00:00Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)false
dc.title.none.fl_str_mv The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
title The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
spellingShingle The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
Langhi Junior,Dante M.
Chaga's disease
blood donors
diagnostic test
latent class analysis
title_short The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
title_full The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
title_fullStr The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
title_full_unstemmed The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
title_sort The application of latent class analysis for diagnostic test validation of chronic Trypanosoma cruzi infection in blood donors
author Langhi Junior,Dante M.
author_facet Langhi Junior,Dante M.
Bordin,José O.
Castelo,Adauto
Walter,Stephen D.
Moraes-Souza,Hélio
Stumpf,Robert J.
author_role author
author2 Bordin,José O.
Castelo,Adauto
Walter,Stephen D.
Moraes-Souza,Hélio
Stumpf,Robert J.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Langhi Junior,Dante M.
Bordin,José O.
Castelo,Adauto
Walter,Stephen D.
Moraes-Souza,Hélio
Stumpf,Robert J.
dc.subject.por.fl_str_mv Chaga's disease
blood donors
diagnostic test
latent class analysis
topic Chaga's disease
blood donors
diagnostic test
latent class analysis
description The main strategy to prevent transfusion-associated Chagas' disease is the identification of T. Cruzi-infected blood donors by serological screening tests, however there is no perfect serological gold standard. We evaluated an enzyme immunoassay (EIA), an indirect hemaglutination (IHA), and an indirect immunofluorescence (IIF) test for detecting T. Cruzi antibodies in Brazilian blood donors. The results were submitted to latent class analysis, and a radioimmunopreciptation (RIPA) test was performed on repeatedly positive samples. Among 1951 donors, 11 (0.56%) were positive by EIA, 6 (0.31%) by IHA and 16 (0.82%) by IIF. Six samples were positive with all tests, while 4 reacted with EIA and IIF. The RIPA was positive in 6 (75.0%), 7 (66.6%), and 4 (54.0%) samples reacting by the EIA, IHA and IIF tests, respectively. The latent class model detected a high sensitivity rate (100%) for the EIA and IIF, and a specificity rate of 99.95% and 99.69% for the EIA and IIF tests, respectively. The probability of being case according to the model was 99.92% when both EIA and IIF were positive, and 100% for the association of EIA, IIF, and IHA.
publishDate 2002
dc.date.none.fl_str_mv 2002-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702002000400005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702002000400005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-86702002000400005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
dc.source.none.fl_str_mv Brazilian Journal of Infectious Diseases v.6 n.4 2002
reponame:Brazilian Journal of Infectious Diseases
instname:Brazilian Society of Infectious Diseases (BSID)
instacron:BSID
instname_str Brazilian Society of Infectious Diseases (BSID)
instacron_str BSID
institution BSID
reponame_str Brazilian Journal of Infectious Diseases
collection Brazilian Journal of Infectious Diseases
repository.name.fl_str_mv Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)
repository.mail.fl_str_mv bjid@bjid.org.br||lgoldani@ufrgs.br
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