Title :

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

Author(s) :

Bar, Stéphane [Auteur]
Simplification des soins chez les patients complexes - UR UPJV 7518 [SSPC]
CHU Amiens-Picardie
Lecourtois, A. [Auteur]
Dupont, Hervé [Auteur]
Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 [MP3CV]
Simplification des soins chez les patients complexes - UR UPJV 7518 [SSPC]
CHU Amiens-Picardie
Diouf, M. [Auteur]
Goldberg, E. [Auteur]
Bourbon, C. [Auteur]
Arnaud, E. [Auteur]
Hôpital Universitaire Carémeau [Nîmes] [CHU Nîmes]
Domisse, L. [Auteur]
Institut d'Astrophysique de Paris [IAP]
Gosset, P. [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]

Journal title :

ANAESTHESIA

Pages :

1620-1625

Publication date :

2020

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

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. ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017

Source :

Harvested from HAL

Submission date :

2022-02-18T02:31:25Z