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The association of lung ultrasound images with COVID-19 infection in an emergency room cohort

Abstract : Lung ultrasound could facilitate the triage of patients with suspected COVID-19 infection admitted to the emergency room. We developed a predictive model for COVID-19 diagnosis based on lung ultrasound and clinical features. We used ultrasound to image the lung bilaterally at two anterior sites, one and two hands below each clavicle, and a posterolateral site that was the posterior transverse continuation from the lower anterior site. We studied 100 patients, 31 of whom had a COVID-19 positive reverse transcriptase polymerase chain reaction. A positive test was independently associated with: quick sequential organ failure assessment score >= 1; >= 3 B-lines at the upper site; consolidation and thickened pleura at the lower site; and thickened pleura line at the posterolateral site. The model discrimination was an area (95%CI) under the receiver operating characteristic curve of 0.82 (0.75-0.90). The characteristics (95%CI) of the model's diagnostic threshold, applied to the population from which it was derived, were: sensitivity, 97% (83-100%); specificity, 62% (50-74%); positive predictive value, 54% (41-98%); and negative predictive value, 98% (88-99%). This model may facilitate triage of patients with suspected COVID-19 infection admitted to the emergency room.
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https://hal-u-picardie.archives-ouvertes.fr/hal-03576421
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Soumis le : mercredi 16 février 2022 - 09:21:21
Dernière modification le : vendredi 5 août 2022 - 11:26:02

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Stéphane Bar, A. Lecourtois, Hervé Dupont, M. Diouf, E. Goldberg, et al.. The association of lung ultrasound images with COVID-19 infection in an emergency room cohort. Anaesthesia, Wiley, 2020, 75 (12), pp.1620-1625. ⟨10.1111/anae.15175⟩. ⟨hal-03576421⟩

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