Lung ultrasonography results statistically agree with computed tomography in COVID-19 pneumonia cases from a private hospital in southern Brazil
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , |
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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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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1825134741629698048 |