Lung Ultrasound to Assist ICU Admission Decision-Making Process of COVID-19 Patients With Acute Respiratory Failure.

ABSTRACT: There is only low-certainty evidence on the use of predictive models to assist COVID-19 patient's ICU admission decision-making process. Accumulative evidence suggests that lung ultrasound (LUS) assessment of COVID-19 patients allows accurate bedside evaluation of lung integrity, with the added advantage of repeatability, absence of radiation exposure, reduced risk of virus dissemination, and low cost. Our goal is to assess the performance of a quantified indicator resulting from LUS data compared with standard clinical practice model to predict critical respiratory illness in the 24 hours following hospital admission.

Design

Prospective cohort study.

Setting

Critical Care Unit from University Hospital Purpan (Toulouse, France) between July 2020 and March 2021.

Patients

SUBMITTER: Aguersif A 

PROVIDER: S-EPMC9225487 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature