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Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol
BACKGROUND: The acute respiratory distress syndrome (ARDS) occurs in response to a variety of insults, and mechanical ventilation is life-saving in this setting, but ventilator-induced lung injury can also contribute to the morbidity and mortality in the condition. The Beacon Caresystem is a model-b...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762446/ https://www.ncbi.nlm.nih.gov/pubmed/35039050 http://dx.doi.org/10.1186/s13063-021-05967-2 |
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author | Patel, Brijesh Mumby, Sharon Johnson, Nicholas Falaschetti, Emanuela Hansen, Jorgen Adcock, Ian McAuley, Danny Takata, Masao Karbing, Dan S. Jabaudon, Matthieu Schellengowski, Peter Rees, Stephen E. |
author_facet | Patel, Brijesh Mumby, Sharon Johnson, Nicholas Falaschetti, Emanuela Hansen, Jorgen Adcock, Ian McAuley, Danny Takata, Masao Karbing, Dan S. Jabaudon, Matthieu Schellengowski, Peter Rees, Stephen E. |
author_sort | Patel, Brijesh |
collection | PubMed |
description | BACKGROUND: The acute respiratory distress syndrome (ARDS) occurs in response to a variety of insults, and mechanical ventilation is life-saving in this setting, but ventilator-induced lung injury can also contribute to the morbidity and mortality in the condition. The Beacon Caresystem is a model-based bedside decision support system using mathematical models tuned to the individual patient’s physiology to advise on appropriate ventilator settings. Personalised approaches using individual patient description may be particularly advantageous in complex patients, including those who are difficult to mechanically ventilate and wean, in particular ARDS. METHODS: We will conduct a multi-centre international randomised, controlled, allocation concealed, open, pragmatic clinical trial to compare mechanical ventilation in ARDS patients following application of the Beacon Caresystem to that of standard routine care to investigate whether use of the system results in a reduction in driving pressure across all severities and phases of ARDS. DISCUSSION: Despite 20 years of clinical trial data showing significant improvements in ARDS mortality through mitigation of ventilator-induced lung injury, there remains a gap in its personalised application at the bedside. Importantly, the protective effects of higher positive end-expiratory pressure (PEEP) were noted only when there were associated decreases in driving pressure. Hence, the pressures set on the ventilator should be determined by the diseased lungs’ pressure-volume relationship which is often unknown or difficult to determine. Knowledge of extent of recruitable lung could improve the ventilator driving pressure. Hence, personalised management demands the application of mechanical ventilation according to the physiological state of the diseased lung at that time. Hence, there is significant rationale for the development of point-of-care clinical decision support systems which help personalise ventilatory strategy according to the current physiology. Furthermore, the potential for the application of the Beacon Caresystem to facilitate local and remote management of large numbers of ventilated patients (as seen during this COVID-19 pandemic) could change the outcome of mechanically ventilated patients during the course of this and future pandemics. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT04115709. Registered on 4 October 2019, version 4.0 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05967-2. |
format | Online Article Text |
id | pubmed-8762446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87624462022-01-18 Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol Patel, Brijesh Mumby, Sharon Johnson, Nicholas Falaschetti, Emanuela Hansen, Jorgen Adcock, Ian McAuley, Danny Takata, Masao Karbing, Dan S. Jabaudon, Matthieu Schellengowski, Peter Rees, Stephen E. Trials Study Protocol BACKGROUND: The acute respiratory distress syndrome (ARDS) occurs in response to a variety of insults, and mechanical ventilation is life-saving in this setting, but ventilator-induced lung injury can also contribute to the morbidity and mortality in the condition. The Beacon Caresystem is a model-based bedside decision support system using mathematical models tuned to the individual patient’s physiology to advise on appropriate ventilator settings. Personalised approaches using individual patient description may be particularly advantageous in complex patients, including those who are difficult to mechanically ventilate and wean, in particular ARDS. METHODS: We will conduct a multi-centre international randomised, controlled, allocation concealed, open, pragmatic clinical trial to compare mechanical ventilation in ARDS patients following application of the Beacon Caresystem to that of standard routine care to investigate whether use of the system results in a reduction in driving pressure across all severities and phases of ARDS. DISCUSSION: Despite 20 years of clinical trial data showing significant improvements in ARDS mortality through mitigation of ventilator-induced lung injury, there remains a gap in its personalised application at the bedside. Importantly, the protective effects of higher positive end-expiratory pressure (PEEP) were noted only when there were associated decreases in driving pressure. Hence, the pressures set on the ventilator should be determined by the diseased lungs’ pressure-volume relationship which is often unknown or difficult to determine. Knowledge of extent of recruitable lung could improve the ventilator driving pressure. Hence, personalised management demands the application of mechanical ventilation according to the physiological state of the diseased lung at that time. Hence, there is significant rationale for the development of point-of-care clinical decision support systems which help personalise ventilatory strategy according to the current physiology. Furthermore, the potential for the application of the Beacon Caresystem to facilitate local and remote management of large numbers of ventilated patients (as seen during this COVID-19 pandemic) could change the outcome of mechanically ventilated patients during the course of this and future pandemics. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT04115709. Registered on 4 October 2019, version 4.0 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05967-2. BioMed Central 2022-01-17 /pmc/articles/PMC8762446/ /pubmed/35039050 http://dx.doi.org/10.1186/s13063-021-05967-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Patel, Brijesh Mumby, Sharon Johnson, Nicholas Falaschetti, Emanuela Hansen, Jorgen Adcock, Ian McAuley, Danny Takata, Masao Karbing, Dan S. Jabaudon, Matthieu Schellengowski, Peter Rees, Stephen E. Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title | Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title_full | Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title_fullStr | Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title_full_unstemmed | Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title_short | Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)—trial protocol |
title_sort | decision support system to evaluate ventilation in the acute respiratory distress syndrome (devent study)—trial protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762446/ https://www.ncbi.nlm.nih.gov/pubmed/35039050 http://dx.doi.org/10.1186/s13063-021-05967-2 |
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