A computed tomography scoring system to assess pulmonary disease among premature infants
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , |
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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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 |
_version_ |
1754209262935998464 |