Your browser doesn't support javascript.
loading
Montrer: 20 | 50 | 100
Résultats 1 - 2 de 2
Filtre
Ajouter des filtres








Gamme d'année
1.
Int. j. cardiovasc. sci. (Impr.) ; 33(5): 479-487, Sept.-Oct. 2020. tab, graf
Article Dans Anglais | LILACS | ID: biblio-1134415

Résumé

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


Sujets)
Humains , Mâle , Femelle , Adulte , Adulte d'âge moyen , Tomodensitométrie/méthodes , Échographie/méthodes , Études transversales , Triage/méthodes , Service hospitalier d'urgences , COVID-19/diagnostic
SÉLECTION CITATIONS
Détails de la recherche