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Simulation to minimise patient self-inflicted lung injury: are we almost there?
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 i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
British Journal of Anaesthesia. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551385/ https://www.ncbi.nlm.nih.gov/pubmed/35729011 http://dx.doi.org/10.1016/j.bja.2022.05.007 |
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author | Tsolaki, Vasiliki Zakynthinos, George E. |
author_facet | Tsolaki, Vasiliki Zakynthinos, George E. |
author_sort | Tsolaki, Vasiliki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9551385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | British Journal of Anaesthesia. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95513852022-10-11 Simulation to minimise patient self-inflicted lung injury: are we almost there? Tsolaki, Vasiliki Zakynthinos, George E. Br J Anaesth Editorial 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. British Journal of Anaesthesia. Published by Elsevier Ltd. 2022-08 2022-06-18 /pmc/articles/PMC9551385/ /pubmed/35729011 http://dx.doi.org/10.1016/j.bja.2022.05.007 Text en © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Editorial Tsolaki, Vasiliki Zakynthinos, George E. Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title | Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title_full | Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title_fullStr | Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title_full_unstemmed | Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title_short | Simulation to minimise patient self-inflicted lung injury: are we almost there? |
title_sort | simulation to minimise patient self-inflicted lung injury: are we almost there? |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551385/ https://www.ncbi.nlm.nih.gov/pubmed/35729011 http://dx.doi.org/10.1016/j.bja.2022.05.007 |
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