Citation

Tsolaki V, Zakynthinos GE. Br. J. Anaesth. 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Oxford University Press)

DOI

10.1016/j.bja.2022.05.007

PMID

35729011

Abstract

Computational modelling has been used to enlighten pathophysiological issues in patients with acute respiratory distress syndrome (ARDS) using a sophisticated, integrated cardiopulmonary model. COVID-19 ARDS is a pathophysiologically distinct entity characterised by dissociation between impairment in gas exchange and respiratory system mechanics, especially in the early stages of ARDS. Weaver and colleagues used computational modelling to elucidate factors contributing to generation of patient self-inflicted lung injury, and evaluated the effects of various spontaneous respiratory efforts with different oxygenation and ventilatory support modes. Their findings indicate that mechanical forces generated in the lung parenchyma are only counterbalanced when the respiratory support mode reduces the intensity of respiratory efforts.

Language: en

Keywords

COVID-19; simulation; ARDS; computational modelling; lung injury; patient self-inflicted lung injury