Journal article
A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure
Andre Y Denault, Stephane Delisle, David Canty, Alistair Royse, Colin Royse, Ximena Cid Serra, Caroline E Gebhard, Etienne J Couture, Martin Girard, Yiorgos Alexandros Cavayas, Nicolas Peschanski, Stephan Langevin, Paul Ouellet
CANADIAN JOURNAL OF ANESTHESIA-JOURNAL CANADIEN D ANESTHESIE | SPRINGER | Published : 2020
Abstract
Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological and ultrasound findings of these two phenotypes are different. Consequently, the therapeutic approach also varies between the two. We propose a management algorithm that combines the respiratory rate and oxygenation index with bedside lung ultrasound examination and monitoring that could help determine earlier the requirement for intubation and other surveillance of COVID-19 patients with respirator..
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Funding Acknowledgements
Supported by the Richard I. Kaufman Endowment Fund in Anesthesia and Critical Care and the Montreal Heart Institute Foundation. The funding body had no role in the design of study and collection, analysis, and interpretation of data and in writing of the manuscript.