Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Einstein (São Paulo) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082022000100261 |
Resumo: | ABSTRACT Objective: To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity. Methods: A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death. Results: Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%. Conclusion: The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients. |
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Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective studyCoronavirus infectionsCOVID-19PneumoniaObesityMultidetector computed tomographyTomographyX-ray computedPrognosisABSTRACT Objective: To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity. Methods: A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death. Results: Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%. Conclusion: The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients.Instituto Israelita de Ensino e Pesquisa Albert Einstein2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082022000100261einstein (São Paulo) v.20 2022reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.31744/einstein_journal/2022ao6953info:eu-repo/semantics/openAccessdo Amaral e Castro,AdhamYokoo,PatríciaFonseca,Eduardo Kaiser Ururahy NunesOtoni,Jessyca CoutoHaiek,Sarah LustosaShoji,HamiltonChate,Rodrigo CarusoPereira,Andrea ZQueiroz,Marcos Roberto Gomes deBatista,Marcelo CostaSzarf,Gilbertoeng2022-05-26T00:00:00Zoai:scielo:S1679-45082022000100261Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2022-05-26T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false |
dc.title.none.fl_str_mv |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
title |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
spellingShingle |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study do Amaral e Castro,Adham Coronavirus infections COVID-19 Pneumonia Obesity Multidetector computed tomography Tomography X-ray computed Prognosis |
title_short |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
title_full |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
title_fullStr |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
title_full_unstemmed |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
title_sort |
Prognostic factors of worse outcome for hospitalized COVID-19 patients, with emphasis on chest computed tomography data: a retrospective study |
author |
do Amaral e Castro,Adham |
author_facet |
do Amaral e Castro,Adham Yokoo,Patrícia Fonseca,Eduardo Kaiser Ururahy Nunes Otoni,Jessyca Couto Haiek,Sarah Lustosa Shoji,Hamilton Chate,Rodrigo Caruso Pereira,Andrea Z Queiroz,Marcos Roberto Gomes de Batista,Marcelo Costa Szarf,Gilberto |
author_role |
author |
author2 |
Yokoo,Patrícia Fonseca,Eduardo Kaiser Ururahy Nunes Otoni,Jessyca Couto Haiek,Sarah Lustosa Shoji,Hamilton Chate,Rodrigo Caruso Pereira,Andrea Z Queiroz,Marcos Roberto Gomes de Batista,Marcelo Costa Szarf,Gilberto |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
do Amaral e Castro,Adham Yokoo,Patrícia Fonseca,Eduardo Kaiser Ururahy Nunes Otoni,Jessyca Couto Haiek,Sarah Lustosa Shoji,Hamilton Chate,Rodrigo Caruso Pereira,Andrea Z Queiroz,Marcos Roberto Gomes de Batista,Marcelo Costa Szarf,Gilberto |
dc.subject.por.fl_str_mv |
Coronavirus infections COVID-19 Pneumonia Obesity Multidetector computed tomography Tomography X-ray computed Prognosis |
topic |
Coronavirus infections COVID-19 Pneumonia Obesity Multidetector computed tomography Tomography X-ray computed Prognosis |
description |
ABSTRACT Objective: To evaluate anthropometric and clinical data, muscle mass, subcutaneous fat, spine bone mineral density, extent of acute pulmonary disease related to COVID-19, quantification of pulmonary emphysema, coronary calcium, and hepatic steatosis using chest computed tomography of hospitalized patients with confirmed diagnosis of COVID-19 pneumonia and verify its association with disease severity. Methods: A total of 123 adults hospitalized due to COVID-19 pneumonia were enrolled in the present study, which evaluated the anthropometric, clinical and chest computed tomography data (pectoral and paravertebral muscle area and density, subcutaneous fat, thoracic vertebral bodies density, degree of pulmonary involvement by disease, coronary calcium quantification, liver attenuation measurement) and their association with poorer prognosis characterized through a combined outcome of intubation and mechanical ventilation, need of intensive care unit, and death. Results: Age (p=0.013), body mass index (p=0.009), lymphopenia (p=0.034), and degree of pulmonary involvement of COVID-19 pneumonia (p<0.001) were associated with poor prognosis. Extent of pulmonary involvement by COVID-19 pneumonia had an odds ratio of 1,329 for a poor prognosis and a cutoff value of 6.5 for increased risk, with a sensitivity of 64.9% and specificity of 67.1%. Conclusion: The present study found an association of high body mass index, older age, extent of pulmonary involvement by COVID-19, and lymphopenia with severity of COVID-19 pneumonia in hospitalized patients. |
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=S1679-45082022000100261 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082022000100261 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.31744/einstein_journal/2022ao6953 |
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 |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
publisher.none.fl_str_mv |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
dc.source.none.fl_str_mv |
einstein (São Paulo) v.20 2022 reponame:Einstein (São Paulo) instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) instacron:IIEPAE |
instname_str |
Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
instacron_str |
IIEPAE |
institution |
IIEPAE |
reponame_str |
Einstein (São Paulo) |
collection |
Einstein (São Paulo) |
repository.name.fl_str_mv |
Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
repository.mail.fl_str_mv |
||revista@einstein.br |
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