Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Jornal Brasileiro de Pneumologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132022000200200 |
Resumo: | ABSTRACT Objectives Pleural tuberculosis (PlTB) diagnosis is a challenge due to its paucibacillary nature and to the need of invasive procedures. This study aimed to identify easily available variables and build a predictive model for PlTB diagnosis which may allow earlier and affordable alternative strategy to be used in basic health care units. Methods An observational cross-sectional study compared PlTB and non-TB patients followed at a tertiary Brazilian hospital between 2010 and 2018. Unconditional logistic regression analysis was performed and a Decision Tree Classifier (DTC) model was validated and applied in additional PlTB patients with empiric diagnosis. The accuracy (Acc), sensitivity (Se), specificity (Sp), positive and negative predictive values were calculated. Results From 1,135 TB patients, 160 were considered for analysis (111 confirmed PlTB and 49 unconfirmed PlTB). Indeed, 58 non-TB patients were enrolled as controls. Hyporexia [adjusted odds ratio (aOR) 27.39 (95% CI 6.26 – 119.89)] and cellular/biochemical characteristics on pleural fluid (PF) (polimorphonuclear in two categories: 3-14% aOR 26.22, 95% CI 7.11 – 96.68 and < 3% aOR 28.67, 95% CI 5.51 – 149.25; and protein ≥ 5g/dL aOR 7.24, 95% CI 3.07 – 17.11) were associated with higher risk for TB. The DTC constructed using these variables showed Acc=87.6%, Se=89.2%, Sp=84.5% for PlTB diagnosis and was successfully applied in unconfirmed PlTB patients. Conclusion The DTC model showed an excellent performance for PlTB diagnosis and can be considered as an alternative diagnostic strategy by using clinical patterns in association with PF cellular/biochemical characteristics, which were affordable and easily performed in basic health care units. |
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Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosisPleural tuberculosisDiagnosisDecision tree classifierABSTRACT Objectives Pleural tuberculosis (PlTB) diagnosis is a challenge due to its paucibacillary nature and to the need of invasive procedures. This study aimed to identify easily available variables and build a predictive model for PlTB diagnosis which may allow earlier and affordable alternative strategy to be used in basic health care units. Methods An observational cross-sectional study compared PlTB and non-TB patients followed at a tertiary Brazilian hospital between 2010 and 2018. Unconditional logistic regression analysis was performed and a Decision Tree Classifier (DTC) model was validated and applied in additional PlTB patients with empiric diagnosis. The accuracy (Acc), sensitivity (Se), specificity (Sp), positive and negative predictive values were calculated. Results From 1,135 TB patients, 160 were considered for analysis (111 confirmed PlTB and 49 unconfirmed PlTB). Indeed, 58 non-TB patients were enrolled as controls. Hyporexia [adjusted odds ratio (aOR) 27.39 (95% CI 6.26 – 119.89)] and cellular/biochemical characteristics on pleural fluid (PF) (polimorphonuclear in two categories: 3-14% aOR 26.22, 95% CI 7.11 – 96.68 and < 3% aOR 28.67, 95% CI 5.51 – 149.25; and protein ≥ 5g/dL aOR 7.24, 95% CI 3.07 – 17.11) were associated with higher risk for TB. The DTC constructed using these variables showed Acc=87.6%, Se=89.2%, Sp=84.5% for PlTB diagnosis and was successfully applied in unconfirmed PlTB patients. Conclusion The DTC model showed an excellent performance for PlTB diagnosis and can be considered as an alternative diagnostic strategy by using clinical patterns in association with PF cellular/biochemical characteristics, which were affordable and easily performed in basic health care units.Sociedade Brasileira de Pneumologia e Tisiologia2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132022000200200Jornal Brasileiro de Pneumologia v.48 n.2 2022reponame:Jornal Brasileiro de Pneumologia (Online)instname:Sociedade Brasileira de Pneumologia e Tisiologia (SBPT)instacron:SBPT10.36416/1806-3756/e20210245info:eu-repo/semantics/openAccessSantos,Ana PaulaRibeiro-Alves,MarceloCorrêa,RaquelLopes,IsabelleSilva,Mariana AlmeidaMafort,Thiago ThomazLeung,JanainaRodrigues,Luciana SilvaRufino,Rogérioeng2021-12-09T00:00:00Zoai:scielo:S1806-37132022000200200Revistahttp://www.jornaldepneumologia.com.br/default.aspONGhttps://old.scielo.br/oai/scielo-oai.php||jbp@jbp.org.br|| jpneumo@jornaldepneumologia.com.br1806-37561806-3713opendoar:2021-12-09T00:00Jornal Brasileiro de Pneumologia (Online) - Sociedade Brasileira de Pneumologia e Tisiologia (SBPT)false |
dc.title.none.fl_str_mv |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
title |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
spellingShingle |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis Santos,Ana Paula Pleural tuberculosis Diagnosis Decision tree classifier |
title_short |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
title_full |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
title_fullStr |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
title_full_unstemmed |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
title_sort |
Hyporexia and cellular/biochemical characteristics of pleural fluid as predictive variables on a model for pleural tuberculosis diagnosis |
author |
Santos,Ana Paula |
author_facet |
Santos,Ana Paula Ribeiro-Alves,Marcelo Corrêa,Raquel Lopes,Isabelle Silva,Mariana Almeida Mafort,Thiago Thomaz Leung,Janaina Rodrigues,Luciana Silva Rufino,Rogério |
author_role |
author |
author2 |
Ribeiro-Alves,Marcelo Corrêa,Raquel Lopes,Isabelle Silva,Mariana Almeida Mafort,Thiago Thomaz Leung,Janaina Rodrigues,Luciana Silva Rufino,Rogério |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Santos,Ana Paula Ribeiro-Alves,Marcelo Corrêa,Raquel Lopes,Isabelle Silva,Mariana Almeida Mafort,Thiago Thomaz Leung,Janaina Rodrigues,Luciana Silva Rufino,Rogério |
dc.subject.por.fl_str_mv |
Pleural tuberculosis Diagnosis Decision tree classifier |
topic |
Pleural tuberculosis Diagnosis Decision tree classifier |
description |
ABSTRACT Objectives Pleural tuberculosis (PlTB) diagnosis is a challenge due to its paucibacillary nature and to the need of invasive procedures. This study aimed to identify easily available variables and build a predictive model for PlTB diagnosis which may allow earlier and affordable alternative strategy to be used in basic health care units. Methods An observational cross-sectional study compared PlTB and non-TB patients followed at a tertiary Brazilian hospital between 2010 and 2018. Unconditional logistic regression analysis was performed and a Decision Tree Classifier (DTC) model was validated and applied in additional PlTB patients with empiric diagnosis. The accuracy (Acc), sensitivity (Se), specificity (Sp), positive and negative predictive values were calculated. Results From 1,135 TB patients, 160 were considered for analysis (111 confirmed PlTB and 49 unconfirmed PlTB). Indeed, 58 non-TB patients were enrolled as controls. Hyporexia [adjusted odds ratio (aOR) 27.39 (95% CI 6.26 – 119.89)] and cellular/biochemical characteristics on pleural fluid (PF) (polimorphonuclear in two categories: 3-14% aOR 26.22, 95% CI 7.11 – 96.68 and < 3% aOR 28.67, 95% CI 5.51 – 149.25; and protein ≥ 5g/dL aOR 7.24, 95% CI 3.07 – 17.11) were associated with higher risk for TB. The DTC constructed using these variables showed Acc=87.6%, Se=89.2%, Sp=84.5% for PlTB diagnosis and was successfully applied in unconfirmed PlTB patients. Conclusion The DTC model showed an excellent performance for PlTB diagnosis and can be considered as an alternative diagnostic strategy by using clinical patterns in association with PF cellular/biochemical characteristics, which were affordable and easily performed in basic health care units. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S1806-37132022000200200 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132022000200200 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.36416/1806-3756/e20210245 |
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 |
Sociedade Brasileira de Pneumologia e Tisiologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pneumologia e Tisiologia |
dc.source.none.fl_str_mv |
Jornal Brasileiro de Pneumologia v.48 n.2 2022 reponame:Jornal Brasileiro de Pneumologia (Online) instname:Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) instacron:SBPT |
instname_str |
Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) |
instacron_str |
SBPT |
institution |
SBPT |
reponame_str |
Jornal Brasileiro de Pneumologia (Online) |
collection |
Jornal Brasileiro de Pneumologia (Online) |
repository.name.fl_str_mv |
Jornal Brasileiro de Pneumologia (Online) - Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) |
repository.mail.fl_str_mv |
||jbp@jbp.org.br|| jpneumo@jornaldepneumologia.com.br |
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1750318348245139456 |