Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil

Bibliographic Details
Main Author: Pallarés, Luiz Carlos
Publication Date: 2024
Other Authors: Zanardo, Ana Paula, de Souza, Vinicius, Wolf, Jonas Michel
Format: Article
Language: por
Source: Clinical and Biomedical Research
Download full: https://seer.ufrgs.br/index.php/hcpa/article/view/131128
Summary: Introduction: Computed tomography (CT) scans can both exclude other pathological conditions and display a high level of sensitivity for COVID-19 pneumonia. Although LUS has the potential to replace these methods in patient evaluation, issues remain as to whether it can be considered a reliable surrogate in the clinical decision process. Objective: To compare the performance of lung ultrasonography (LUS) with that of lung computed tomography (CT) scans in COVID-19 patients for the presence of interstitial pneumonia and the degree of lung injury. Methods: In a cross-sectional clinical study, LUS and CT were compared for the presence of interstitial pneumonia and the degree of lung injury in COVID-19 patients. Pearson’s and Spearman correlations analysis were performed to measure the degree of association between the two methods. Bland–Altman plot was applied. P-values ≤ 0.05 were considered significant. Results: A good correlation between LUS and CT scan was obtained for estimates of lung injury in pneumonia in a group of COVID-19 patients (R2= 0.7613; p <0.01). Agreement between LUS and CT values is assessed by constructing the Bland-Altman plot and most of the data points fall within ± 1.96 times the standard deviation of the difference between the results of the two methods. This corroborates that there is a strong agreement between the two methods. Conclusions: LUS, as compared to CT scans, is an effective method to estimate degrees of lung injury in COVID-19 patients in the emergency department.
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spelling Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern BrazilCOVID-19computed tomographylung ultrasonographypneumoniaIntroduction: Computed tomography (CT) scans can both exclude other pathological conditions and display a high level of sensitivity for COVID-19 pneumonia. Although LUS has the potential to replace these methods in patient evaluation, issues remain as to whether it can be considered a reliable surrogate in the clinical decision process. Objective: To compare the performance of lung ultrasonography (LUS) with that of lung computed tomography (CT) scans in COVID-19 patients for the presence of interstitial pneumonia and the degree of lung injury. Methods: In a cross-sectional clinical study, LUS and CT were compared for the presence of interstitial pneumonia and the degree of lung injury in COVID-19 patients. Pearson’s and Spearman correlations analysis were performed to measure the degree of association between the two methods. Bland–Altman plot was applied. P-values ≤ 0.05 were considered significant. Results: A good correlation between LUS and CT scan was obtained for estimates of lung injury in pneumonia in a group of COVID-19 patients (R2= 0.7613; p <0.01). Agreement between LUS and CT values is assessed by constructing the Bland-Altman plot and most of the data points fall within ± 1.96 times the standard deviation of the difference between the results of the two methods. This corroborates that there is a strong agreement between the two methods. Conclusions: LUS, as compared to CT scans, is an effective method to estimate degrees of lung injury in COVID-19 patients in the emergency department.HCPA/FAMED/UFRGS2024-07-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleAvaliado por Paresapplication/pdfhttps://seer.ufrgs.br/index.php/hcpa/article/view/131128Clinical and Biomedical Research; Vol. 43 No. 4 (2023): Clinical and Biomedical ResearchClinical and Biomedical Research; v. 43 n. 4 (2023): Clinical and Biomedical Research2357-9730reponame:Clinical and Biomedical Researchinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/hcpa/article/view/131128/91724Copyright (c) 2024 Luiz Pallarés, Ana Paula Zanardo, Vinicius de Souza, Jonas Michel Wolfhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPallarés, Luiz CarlosZanardo, Ana Paulade Souza, ViniciusWolf, Jonas Michel2024-11-07T19:41:05Zoai:seer.ufrgs.br:article/131128Revistahttps://www.seer.ufrgs.br/index.php/hcpaPUBhttps://seer.ufrgs.br/index.php/hcpa/oai||cbr@hcpa.edu.br2357-97302357-9730opendoar:2024-11-07T19:41:05Clinical and Biomedical Research - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
title Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
spellingShingle Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
Pallarés, Luiz Carlos
COVID-19
computed tomography
lung ultrasonography
pneumonia
title_short Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
title_full Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
title_fullStr Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
title_full_unstemmed Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
title_sort Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
author Pallarés, Luiz Carlos
author_facet Pallarés, Luiz Carlos
Zanardo, Ana Paula
de Souza, Vinicius
Wolf, Jonas Michel
author_role author
author2 Zanardo, Ana Paula
de Souza, Vinicius
Wolf, Jonas Michel
author2_role author
author
author
dc.contributor.author.fl_str_mv Pallarés, Luiz Carlos
Zanardo, Ana Paula
de Souza, Vinicius
Wolf, Jonas Michel
dc.subject.por.fl_str_mv COVID-19
computed tomography
lung ultrasonography
pneumonia
topic COVID-19
computed tomography
lung ultrasonography
pneumonia
description Introduction: Computed tomography (CT) scans can both exclude other pathological conditions and display a high level of sensitivity for COVID-19 pneumonia. Although LUS has the potential to replace these methods in patient evaluation, issues remain as to whether it can be considered a reliable surrogate in the clinical decision process. Objective: To compare the performance of lung ultrasonography (LUS) with that of lung computed tomography (CT) scans in COVID-19 patients for the presence of interstitial pneumonia and the degree of lung injury. Methods: In a cross-sectional clinical study, LUS and CT were compared for the presence of interstitial pneumonia and the degree of lung injury in COVID-19 patients. Pearson’s and Spearman correlations analysis were performed to measure the degree of association between the two methods. Bland–Altman plot was applied. P-values ≤ 0.05 were considered significant. Results: A good correlation between LUS and CT scan was obtained for estimates of lung injury in pneumonia in a group of COVID-19 patients (R2= 0.7613; p <0.01). Agreement between LUS and CT values is assessed by constructing the Bland-Altman plot and most of the data points fall within ± 1.96 times the standard deviation of the difference between the results of the two methods. This corroborates that there is a strong agreement between the two methods. Conclusions: LUS, as compared to CT scans, is an effective method to estimate degrees of lung injury in COVID-19 patients in the emergency department.
publishDate 2024
dc.date.none.fl_str_mv 2024-07-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Avaliado por Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufrgs.br/index.php/hcpa/article/view/131128
url https://seer.ufrgs.br/index.php/hcpa/article/view/131128
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/hcpa/article/view/131128/91724
dc.rights.driver.fl_str_mv Copyright (c) 2024 Luiz Pallarés, Ana Paula Zanardo, Vinicius de Souza, Jonas Michel Wolf
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Luiz Pallarés, Ana Paula Zanardo, Vinicius de Souza, Jonas Michel Wolf
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv HCPA/FAMED/UFRGS
publisher.none.fl_str_mv HCPA/FAMED/UFRGS
dc.source.none.fl_str_mv Clinical and Biomedical Research; Vol. 43 No. 4 (2023): Clinical and Biomedical Research
Clinical and Biomedical Research; v. 43 n. 4 (2023): Clinical and Biomedical Research
2357-9730
reponame:Clinical and Biomedical Research
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Clinical and Biomedical Research
collection Clinical and Biomedical Research
repository.name.fl_str_mv Clinical and Biomedical Research - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv ||cbr@hcpa.edu.br
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