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Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial
BACKGROUND: Studies in critically ill patients suggest a relationship between mechanical power (an index of the energy delivered by the ventilator, which includes driving pressure, respiratory rate, tidal volume and inspiratory pressure) and complications. OBJECTIVE: We aimed to assess the associati...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654268/ https://www.ncbi.nlm.nih.gov/pubmed/34560687 http://dx.doi.org/10.1097/EJA.0000000000001601 |
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author | Karalapillai, Dharshi Weinberg, Laurence Neto A, Serpa Peyton, Philip Ellard, Louise Hu, Raymond Pearce, Brett Tan, Chong O. Story, David O’Donnell, Mark Hamilton, Patrick Oughton, Chad Galtieri, Jonathan Wilson, Anthony Eastwood, Glenn Bellomo, Rinaldo Jones, Daryl A. |
author_facet | Karalapillai, Dharshi Weinberg, Laurence Neto A, Serpa Peyton, Philip Ellard, Louise Hu, Raymond Pearce, Brett Tan, Chong O. Story, David O’Donnell, Mark Hamilton, Patrick Oughton, Chad Galtieri, Jonathan Wilson, Anthony Eastwood, Glenn Bellomo, Rinaldo Jones, Daryl A. |
author_sort | Karalapillai, Dharshi |
collection | PubMed |
description | BACKGROUND: Studies in critically ill patients suggest a relationship between mechanical power (an index of the energy delivered by the ventilator, which includes driving pressure, respiratory rate, tidal volume and inspiratory pressure) and complications. OBJECTIVE: We aimed to assess the association between intra-operative mechanical power and postoperative pulmonary complications (PPCs). DESIGN: Post hoc analysis of a large randomised clinical trial. SETTING: University-affiliated academic tertiary hospital in Melbourne, Australia, from February 2015 to February 2019. PATIENTS: Adult patients undergoing major noncardiothoracic, nonintracranial surgery. INTERVENTION: Dynamic mechanical power was calculated using the power equation adjusted by the respiratory system compliance (C (RS)). Multivariable models were used to assess the independent association between mechanical power and outcomes. MAIN OUTCOME MEASURES: The primary outcome was the incidence of PPCs within the first seven postoperative days. The secondary outcome was the incidence of acute respiratory failure. RESULTS: We studied 1156 patients (median age [IQR]: 64 [55 to 72] years, 59.5% men). Median mechanical power adjusted by C (RS) was 0.32 [0.22 to 0.51] (J min(−1))/(ml cmH(2)O(−1)). A higher mechanical power was also independently associated with increased risk of PPCs [odds ratio (OR 1.34, 95% CI, 1.17 to 1.52); P < 0.001) and acute respiratory failure (OR 1.40, 95% CI, 1.21 to 1.61; P < 0.001). CONCLUSION: In patients receiving ventilation during major noncardiothoracic, nonintracranial surgery, exposure to a higher mechanical power was independently associated with an increased risk of PPCs and acute respiratory failure. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry no: 12614000790640. |
format | Online Article Text |
id | pubmed-8654268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-86542682021-12-15 Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial Karalapillai, Dharshi Weinberg, Laurence Neto A, Serpa Peyton, Philip Ellard, Louise Hu, Raymond Pearce, Brett Tan, Chong O. Story, David O’Donnell, Mark Hamilton, Patrick Oughton, Chad Galtieri, Jonathan Wilson, Anthony Eastwood, Glenn Bellomo, Rinaldo Jones, Daryl A. Eur J Anaesthesiol Icu BACKGROUND: Studies in critically ill patients suggest a relationship between mechanical power (an index of the energy delivered by the ventilator, which includes driving pressure, respiratory rate, tidal volume and inspiratory pressure) and complications. OBJECTIVE: We aimed to assess the association between intra-operative mechanical power and postoperative pulmonary complications (PPCs). DESIGN: Post hoc analysis of a large randomised clinical trial. SETTING: University-affiliated academic tertiary hospital in Melbourne, Australia, from February 2015 to February 2019. PATIENTS: Adult patients undergoing major noncardiothoracic, nonintracranial surgery. INTERVENTION: Dynamic mechanical power was calculated using the power equation adjusted by the respiratory system compliance (C (RS)). Multivariable models were used to assess the independent association between mechanical power and outcomes. MAIN OUTCOME MEASURES: The primary outcome was the incidence of PPCs within the first seven postoperative days. The secondary outcome was the incidence of acute respiratory failure. RESULTS: We studied 1156 patients (median age [IQR]: 64 [55 to 72] years, 59.5% men). Median mechanical power adjusted by C (RS) was 0.32 [0.22 to 0.51] (J min(−1))/(ml cmH(2)O(−1)). A higher mechanical power was also independently associated with increased risk of PPCs [odds ratio (OR 1.34, 95% CI, 1.17 to 1.52); P < 0.001) and acute respiratory failure (OR 1.40, 95% CI, 1.21 to 1.61; P < 0.001). CONCLUSION: In patients receiving ventilation during major noncardiothoracic, nonintracranial surgery, exposure to a higher mechanical power was independently associated with an increased risk of PPCs and acute respiratory failure. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry no: 12614000790640. Lippincott Williams & Wilkins 2022-01 2021-09-22 /pmc/articles/PMC8654268/ /pubmed/34560687 http://dx.doi.org/10.1097/EJA.0000000000001601 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Society of Anaesthesiology and Intensive Care. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Icu Karalapillai, Dharshi Weinberg, Laurence Neto A, Serpa Peyton, Philip Ellard, Louise Hu, Raymond Pearce, Brett Tan, Chong O. Story, David O’Donnell, Mark Hamilton, Patrick Oughton, Chad Galtieri, Jonathan Wilson, Anthony Eastwood, Glenn Bellomo, Rinaldo Jones, Daryl A. Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title | Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title_full | Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title_fullStr | Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title_full_unstemmed | Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title_short | Intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: A secondary analysis of a randomised clinical trial |
title_sort | intra-operative ventilator mechanical power as a predictor of postoperative pulmonary complications in surgical patients: a secondary analysis of a randomised clinical trial |
topic | Icu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654268/ https://www.ncbi.nlm.nih.gov/pubmed/34560687 http://dx.doi.org/10.1097/EJA.0000000000001601 |
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