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Simulation to minimise patient self-inflicted lung injury: are we almost there?
Tsolaki, Vasiliki; Zakynthinos, George E.
Affiliation
  • Tsolaki V; Department of Intensive Care Medicine, General University of Larissa, University of Thessaly, Faculty of Medicine, Larissa, Thessaly, Greece. Electronic address: vasotsolaki@yahoo.com.
  • Zakynthinos GE; Department of Intensive Care Medicine, General University of Larissa, University of Thessaly, Faculty of Medicine, Larissa, Thessaly, Greece.
Br J Anaesth ; 129(2): 150-153, 2022 08.
Article in En | MEDLINE | ID: mdl-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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Lung Injury / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Br J Anaesth Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Lung Injury / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Br J Anaesth Year: 2022 Document type: Article