A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure
AuthorDenault, AY; Delisle, S; Canty, D; Royse, A; Royse, C; Serra, XC; Gebhard, CE; Couture, EJ; Girard, M; Cavayas, YA; ...
Source TitleCanadian Journal of Anaesthesia
Document TypeJournal Article
CitationsDenault, A. Y., Delisle, S., Canty, D., Royse, A., Royse, C., Serra, X. C., Gebhard, C. E., Couture, E. J., Girard, M., Cavayas, Y. A., Peschanski, N., Langevin, S. & Ouellet, P. (2020). A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure. CANADIAN JOURNAL OF ANESTHESIA-JOURNAL CANADIEN D ANESTHESIE, 67 (10), pp.1393-1404. https://doi.org/10.1007/s12630-020-01704-6.
Access StatusAccess this item via the Open Access location
Open Access URLPublished version
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 respiratory failure.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References