Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | International Journal of Cardiovascular Sciences (Online) |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472020000500479 |
Summary: | Abstract Background Lung ultrasound (LUS) can detect interstitial alveolar changes confined to the subpleural region, like those described in Covid-19. Objetive To evaluate how LUS findings correlate with chest computed tomography (CT) in patients admitted to the emergency department (ED) with suspicion of Covid-19. Methods Cross-sectional study of 20 patients (median age 43 years; interquartile range, 37–63 years; 50% male). All patients underwent LUS and chest CT on the day of ED admission. Each hemithorax was divided into 6 segments with similar landmarks, and equivalent scores (sc) of lesion severity were defined for both methods. The number of affected segments on LUS (LUSseg) was divided into tertiles (0-1, 2-5, and ≥6), and compared with number of affected segments on CT (CTseg), LUSsc, CTsc, and percentage of affected lung parenchyma through visual analysis (CTvis). ANOVA or Kruskal–Wallis test for continuous variables, chi-square test for categorical variables, and receiver operating characteristic (ROC) curve analysis to define optimal cutoff points were performed. P<0.05 was considered statistically significant. Results Median LUSsc, CTsc, CTseg, and CTvis were significantly different between groups. A clear separation between groups was demonstrated; patients with <2 affected segments on LUS were defined as low risk. The ROC curve showed good discriminative power to predict ≥6 affected segments on CT, with an area under the curve (AUC) of 0.97 and 0.98 for >7 LUSsc and >3 LUSseg, respectively. Conclusion LUS findings correlate with chest CT, and can help identify patients with normal lung or minor pulmonary involvement secondary to Covid-19. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0 |
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Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT FindingsLungUltrasonography/methodsTriagePandemicsCOVID-19Pulmonary AlveoliPleuraTomography, X-Ray Computed/methodsAbstract Background Lung ultrasound (LUS) can detect interstitial alveolar changes confined to the subpleural region, like those described in Covid-19. Objetive To evaluate how LUS findings correlate with chest computed tomography (CT) in patients admitted to the emergency department (ED) with suspicion of Covid-19. Methods Cross-sectional study of 20 patients (median age 43 years; interquartile range, 37–63 years; 50% male). All patients underwent LUS and chest CT on the day of ED admission. Each hemithorax was divided into 6 segments with similar landmarks, and equivalent scores (sc) of lesion severity were defined for both methods. The number of affected segments on LUS (LUSseg) was divided into tertiles (0-1, 2-5, and ≥6), and compared with number of affected segments on CT (CTseg), LUSsc, CTsc, and percentage of affected lung parenchyma through visual analysis (CTvis). ANOVA or Kruskal–Wallis test for continuous variables, chi-square test for categorical variables, and receiver operating characteristic (ROC) curve analysis to define optimal cutoff points were performed. P<0.05 was considered statistically significant. Results Median LUSsc, CTsc, CTseg, and CTvis were significantly different between groups. A clear separation between groups was demonstrated; patients with <2 affected segments on LUS were defined as low risk. The ROC curve showed good discriminative power to predict ≥6 affected segments on CT, with an area under the curve (AUC) of 0.97 and 0.98 for >7 LUSsc and >3 LUSseg, respectively. Conclusion LUS findings correlate with chest CT, and can help identify patients with normal lung or minor pulmonary involvement secondary to Covid-19. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0Sociedade Brasileira de Cardiologia2020-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472020000500479International Journal of Cardiovascular Sciences v.33 n.5 2020reponame:International Journal of Cardiovascular Sciences (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.36660/ijcs.20200133info:eu-repo/semantics/openAccessAlcantara,Monica Luiza deBernardo,Marcos Paulo LacerdaAutran,Tatiana BagrichevskyLustosa,Rodolfo de PaulaTayah,MarceloChagas,Lucia AntunesMachado,Dequitier Carvalhoeng2020-11-23T00:00:00Zoai:scielo:S2359-56472020000500479Revistahttp://publicacoes.cardiol.br/portal/ijcshttps://old.scielo.br/oai/scielo-oai.phptailanerodrigues@cardiol.br||revistaijcs@cardiol.br2359-56472359-4802opendoar:2020-11-23T00:00International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)false |
dc.title.none.fl_str_mv |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
title |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
spellingShingle |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings Alcantara,Monica Luiza de Lung Ultrasonography/methods Triage Pandemics COVID-19 Pulmonary Alveoli Pleura Tomography, X-Ray Computed/methods |
title_short |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
title_full |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
title_fullStr |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
title_full_unstemmed |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
title_sort |
Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings |
author |
Alcantara,Monica Luiza de |
author_facet |
Alcantara,Monica Luiza de Bernardo,Marcos Paulo Lacerda Autran,Tatiana Bagrichevsky Lustosa,Rodolfo de Paula Tayah,Marcelo Chagas,Lucia Antunes Machado,Dequitier Carvalho |
author_role |
author |
author2 |
Bernardo,Marcos Paulo Lacerda Autran,Tatiana Bagrichevsky Lustosa,Rodolfo de Paula Tayah,Marcelo Chagas,Lucia Antunes Machado,Dequitier Carvalho |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Alcantara,Monica Luiza de Bernardo,Marcos Paulo Lacerda Autran,Tatiana Bagrichevsky Lustosa,Rodolfo de Paula Tayah,Marcelo Chagas,Lucia Antunes Machado,Dequitier Carvalho |
dc.subject.por.fl_str_mv |
Lung Ultrasonography/methods Triage Pandemics COVID-19 Pulmonary Alveoli Pleura Tomography, X-Ray Computed/methods |
topic |
Lung Ultrasonography/methods Triage Pandemics COVID-19 Pulmonary Alveoli Pleura Tomography, X-Ray Computed/methods |
description |
Abstract Background Lung ultrasound (LUS) can detect interstitial alveolar changes confined to the subpleural region, like those described in Covid-19. Objetive To evaluate how LUS findings correlate with chest computed tomography (CT) in patients admitted to the emergency department (ED) with suspicion of Covid-19. Methods Cross-sectional study of 20 patients (median age 43 years; interquartile range, 37–63 years; 50% male). All patients underwent LUS and chest CT on the day of ED admission. Each hemithorax was divided into 6 segments with similar landmarks, and equivalent scores (sc) of lesion severity were defined for both methods. The number of affected segments on LUS (LUSseg) was divided into tertiles (0-1, 2-5, and ≥6), and compared with number of affected segments on CT (CTseg), LUSsc, CTsc, and percentage of affected lung parenchyma through visual analysis (CTvis). ANOVA or Kruskal–Wallis test for continuous variables, chi-square test for categorical variables, and receiver operating characteristic (ROC) curve analysis to define optimal cutoff points were performed. P<0.05 was considered statistically significant. Results Median LUSsc, CTsc, CTseg, and CTvis were significantly different between groups. A clear separation between groups was demonstrated; patients with <2 affected segments on LUS were defined as low risk. The ROC curve showed good discriminative power to predict ≥6 affected segments on CT, with an area under the curve (AUC) of 0.97 and 0.98 for >7 LUSsc and >3 LUSseg, respectively. Conclusion LUS findings correlate with chest CT, and can help identify patients with normal lung or minor pulmonary involvement secondary to Covid-19. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-01 |
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=S2359-56472020000500479 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472020000500479 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.36660/ijcs.20200133 |
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 |
Sociedade Brasileira de Cardiologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Cardiologia |
dc.source.none.fl_str_mv |
International Journal of Cardiovascular Sciences v.33 n.5 2020 reponame:International Journal of Cardiovascular Sciences (Online) instname:Sociedade Brasileira de Cardiologia (SBC) instacron:SBC |
instname_str |
Sociedade Brasileira de Cardiologia (SBC) |
instacron_str |
SBC |
institution |
SBC |
reponame_str |
International Journal of Cardiovascular Sciences (Online) |
collection |
International Journal of Cardiovascular Sciences (Online) |
repository.name.fl_str_mv |
International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC) |
repository.mail.fl_str_mv |
tailanerodrigues@cardiol.br||revistaijcs@cardiol.br |
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1754732626580602880 |