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?:abstract
  • 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
  • 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 &#8805;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&lt;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 &lt;2 affected segments on LUS were defined as low risk The ROC curve showed good discriminative power to predict &#8805;6 affected segments on CT, with an area under the curve (AUC) of 0 97 and 0 98 for &gt;7 LUSsc and &gt;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
is ?:annotates of
?:creator
?:journal
  • Int._j._cardiovasc._sci._(Impr.)
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Lung Ultrasound as a Triage Tool in an Emergency Setting during the Covid-19 Outbreak: comparison with CT Findings
?:type
?:who_covidence_id
  • #742126
  • #895946
?:year
  • 2020

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