A computed tomography scoring system to assess pulmonary disease among premature infants

Detalhes bibliográficos
Autor(a) principal: Boechat,Márcia Cristina Bastos
Data de Publicação: 2010
Outros Autores: Mello,Rosane Reis de, Silva,Kátia Silveira da, Daltro,Pedro, Marchiori,Edson, Ramos,Eloane Guimarães, Dutra,Maria Virgínia Peixoto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: São Paulo medical journal (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802010000600004
Resumo: CONTEXT AND OBJECTIVE: High-resolution computed tomography (HRCT) is considered to be the best method for detailed pulmonary evaluation. The aim here was to describe a scoring system based on abnormalities identified on HRCT among premature infants, and measure the predictive validity of the score in relation to respiratory morbidity during the first year of life. DESIGN AND SETTING: Prospective cohort study in Instituto Fernandes Figueira, Fundação Oswaldo Cruz. METHODS: Scoring system based on HRCT abnormalities among premature newborns. The affected lung area was quantified according to the number of compromised lobes, in addition to bilateral pulmonary involvement. Two radiologists applied the score to 86 HRCT scans. Intraobserver and interobserver agreement were analyzed. The score properties were calculated in relation to predictions of respiratory morbidity during the first year of life. RESULTS: Most of the patients (85%) presented abnormalities on HRCT, and among these, 56.2% presented respiratory morbidity during the first year of life. Scores ranged from zero to 12. There was good agreement between observers (intraclass correlation coefficient, ICC = 0.86, confidence interval, CI: 0.64-0.83). The predictive scores were as follows: positive predictive value 81.8%, negative predictive value 56.3%, sensitivity 39.1%, and specificity 90.0%. CONCLUSION: The scoring system is reproducible, easy to apply and allows HRCT comparisons among premature infants, by identifying patients with greater likelihood of respiratory morbidity during the first year of life. Its use will enable HRCT comparisons among premature infants with different risk factors for respiratory morbidity.
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spelling A computed tomography scoring system to assess pulmonary disease among premature infantsTomographyTomography, X-ray computedInfantprematureLung, Bronchopulmonary dysplasiaCONTEXT AND OBJECTIVE: High-resolution computed tomography (HRCT) is considered to be the best method for detailed pulmonary evaluation. The aim here was to describe a scoring system based on abnormalities identified on HRCT among premature infants, and measure the predictive validity of the score in relation to respiratory morbidity during the first year of life. DESIGN AND SETTING: Prospective cohort study in Instituto Fernandes Figueira, Fundação Oswaldo Cruz. METHODS: Scoring system based on HRCT abnormalities among premature newborns. The affected lung area was quantified according to the number of compromised lobes, in addition to bilateral pulmonary involvement. Two radiologists applied the score to 86 HRCT scans. Intraobserver and interobserver agreement were analyzed. The score properties were calculated in relation to predictions of respiratory morbidity during the first year of life. RESULTS: Most of the patients (85%) presented abnormalities on HRCT, and among these, 56.2% presented respiratory morbidity during the first year of life. Scores ranged from zero to 12. There was good agreement between observers (intraclass correlation coefficient, ICC = 0.86, confidence interval, CI: 0.64-0.83). The predictive scores were as follows: positive predictive value 81.8%, negative predictive value 56.3%, sensitivity 39.1%, and specificity 90.0%. CONCLUSION: The scoring system is reproducible, easy to apply and allows HRCT comparisons among premature infants, by identifying patients with greater likelihood of respiratory morbidity during the first year of life. Its use will enable HRCT comparisons among premature infants with different risk factors for respiratory morbidity.Associação Paulista de Medicina - APM2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802010000600004Sao Paulo Medical Journal v.128 n.6 2010reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APM10.1590/S1516-31802010000600004info:eu-repo/semantics/openAccessBoechat,Márcia Cristina BastosMello,Rosane Reis deSilva,Kátia Silveira daDaltro,PedroMarchiori,EdsonRamos,Eloane GuimarãesDutra,Maria Virgínia Peixotoeng2011-01-31T00:00:00Zoai:scielo:S1516-31802010000600004Revistahttp://www.scielo.br/spmjhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2011-01-31T00:00São Paulo medical journal (Online) - Associação Paulista de Medicinafalse
dc.title.none.fl_str_mv A computed tomography scoring system to assess pulmonary disease among premature infants
title A computed tomography scoring system to assess pulmonary disease among premature infants
spellingShingle A computed tomography scoring system to assess pulmonary disease among premature infants
Boechat,Márcia Cristina Bastos
Tomography
Tomography, X-ray computed
Infant
premature
Lung, Bronchopulmonary dysplasia
title_short A computed tomography scoring system to assess pulmonary disease among premature infants
title_full A computed tomography scoring system to assess pulmonary disease among premature infants
title_fullStr A computed tomography scoring system to assess pulmonary disease among premature infants
title_full_unstemmed A computed tomography scoring system to assess pulmonary disease among premature infants
title_sort A computed tomography scoring system to assess pulmonary disease among premature infants
author Boechat,Márcia Cristina Bastos
author_facet Boechat,Márcia Cristina Bastos
Mello,Rosane Reis de
Silva,Kátia Silveira da
Daltro,Pedro
Marchiori,Edson
Ramos,Eloane Guimarães
Dutra,Maria Virgínia Peixoto
author_role author
author2 Mello,Rosane Reis de
Silva,Kátia Silveira da
Daltro,Pedro
Marchiori,Edson
Ramos,Eloane Guimarães
Dutra,Maria Virgínia Peixoto
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Boechat,Márcia Cristina Bastos
Mello,Rosane Reis de
Silva,Kátia Silveira da
Daltro,Pedro
Marchiori,Edson
Ramos,Eloane Guimarães
Dutra,Maria Virgínia Peixoto
dc.subject.por.fl_str_mv Tomography
Tomography, X-ray computed
Infant
premature
Lung, Bronchopulmonary dysplasia
topic Tomography
Tomography, X-ray computed
Infant
premature
Lung, Bronchopulmonary dysplasia
description CONTEXT AND OBJECTIVE: High-resolution computed tomography (HRCT) is considered to be the best method for detailed pulmonary evaluation. The aim here was to describe a scoring system based on abnormalities identified on HRCT among premature infants, and measure the predictive validity of the score in relation to respiratory morbidity during the first year of life. DESIGN AND SETTING: Prospective cohort study in Instituto Fernandes Figueira, Fundação Oswaldo Cruz. METHODS: Scoring system based on HRCT abnormalities among premature newborns. The affected lung area was quantified according to the number of compromised lobes, in addition to bilateral pulmonary involvement. Two radiologists applied the score to 86 HRCT scans. Intraobserver and interobserver agreement were analyzed. The score properties were calculated in relation to predictions of respiratory morbidity during the first year of life. RESULTS: Most of the patients (85%) presented abnormalities on HRCT, and among these, 56.2% presented respiratory morbidity during the first year of life. Scores ranged from zero to 12. There was good agreement between observers (intraclass correlation coefficient, ICC = 0.86, confidence interval, CI: 0.64-0.83). The predictive scores were as follows: positive predictive value 81.8%, negative predictive value 56.3%, sensitivity 39.1%, and specificity 90.0%. CONCLUSION: The scoring system is reproducible, easy to apply and allows HRCT comparisons among premature infants, by identifying patients with greater likelihood of respiratory morbidity during the first year of life. Its use will enable HRCT comparisons among premature infants with different risk factors for respiratory morbidity.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
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=S1516-31802010000600004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802010000600004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1516-31802010000600004
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 Associação Paulista de Medicina - APM
publisher.none.fl_str_mv Associação Paulista de Medicina - APM
dc.source.none.fl_str_mv Sao Paulo Medical Journal v.128 n.6 2010
reponame:São Paulo medical journal (Online)
instname:Associação Paulista de Medicina
instacron:APM
instname_str Associação Paulista de Medicina
instacron_str APM
institution APM
reponame_str São Paulo medical journal (Online)
collection São Paulo medical journal (Online)
repository.name.fl_str_mv São Paulo medical journal (Online) - Associação Paulista de Medicina
repository.mail.fl_str_mv revistas@apm.org.br
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