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Can J Anaesth A Proposed Lung Ultrasound and Phenotypic Algorithm for the Care of COVID-19 Patients With Acute Respiratory Failure

tetano

Editor, Senior Moderator
Can J Anaesth


. 2020 May 21.
doi: 10.1007/s12630-020-01704-6. Online ahead of print.
A Proposed Lung Ultrasound and Phenotypic Algorithm for the Care of COVID-19 Patients With Acute Respiratory Failure


Andr? Y Denault[SUP] 1 2 [/SUP], St?phane Delisle[SUP] 3 4 [/SUP], David Canty[SUP] 5 6 7 8 [/SUP], Alistair Royse[SUP] 5 9 [/SUP], Colin Royse[SUP] 5 10 11 [/SUP], Ximena Cid Serra[SUP] 5 [/SUP], Caroline E Gebhard[SUP] 12 [/SUP], ?tienne J Couture[SUP] 13 14 [/SUP], Martin Girard[SUP] 15 [/SUP], Yiorgos Alexandros Cavayas[SUP] 16 [/SUP], Nicolas Peschanski[SUP] 17 18 [/SUP], St?phan Langevin[SUP] 13 14 [/SUP], Paul Ouellet[SUP] 19 20 [/SUP]



Affiliations

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 respiratory failure.

Keywords: COVID-19; and oxygenation index; lung ultrasound; respiratory failure; respiratory rate.
 
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