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

Amazigh Aguersif,Benjamine Sarton,Sihem Bouharaoua, Lucien Gaillard, Denis Standarovski, Orphée Faucoz, Guillaume Martin Blondel, Hatem Khallel,Claire Thalamas, Agnes Sommet,Béatrice Riu, Eric Morand,Benoit Bataille,Stein Silva

Critical care explorations（2022）

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摘要

LUS assessment of COVID-19 patients with ARF at hospital admission allows a more accurate prediction of the risk of critical respiratory illness than standard clinical practice. These results hold the promise of improving ICU resource allocation process, particularly in the case of massive influx of patients or limited resources, both now and in future anticipated pandemics.

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COVID-19,acute respiratory distress syndrome,acute respiratory failure,intensive care unit admission decision-making,lung ultrasound,machine learning

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