Author: Bar, S.; Lecourtois, A.; Diouf, M.; Goldberg, E.; Bourbon, C.; Arnaud, E.; Domisse, L.; Dupont, H.; Gosset, P.
Title: The association of lung ultrasound images with COVIDâ€19 infection in an emergency room cohort Cord-id: 2sken6sp Document date: 2020_6_10
ID: 2sken6sp
Snippet: Lung ultrasound could facilitate the triage of patients with suspected COVIDâ€19 infection admitted to the emergency room. We developed a predictive model for COVIDâ€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 COVIDâ€19 posi
Document: Lung ultrasound could facilitate the triage of patients with suspected COVIDâ€19 infection admitted to the emergency room. We developed a predictive model for COVIDâ€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 COVIDâ€19 positive reverse transcriptase polymerase chain reaction. A positive test was independently associated with: quick sequential organ failure assessment score ≥ 1; ≥ 3 Bâ€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 (0.75â€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 COVIDâ€19 infection admitted to the emergency room.
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