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The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing
BACKGROUND: Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algo...
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/PMC9219177/ https://www.ncbi.nlm.nih.gov/pubmed/35739553 http://dx.doi.org/10.1186/s13054-022-04063-4 |
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author | Brault, Clement Mancebo, Jordi Suarez Montero, Juan-Carlos Bentall, Tracey Burns, Karen E. A. Piraino, Thomas Lellouche, François Bouchard, Pierre-Alexandre Charbonney, Emmanuel Carteaux, Guillaume Maraffi, Tommaso Beduneau, Gaëtan Mercat, Alain Skrobik, Yoanna Zuo, Fei Lafreniere-Roula, Myriam Thorpe, Kevin Brochard, Laurent Bosma, Karen J. |
author_facet | Brault, Clement Mancebo, Jordi Suarez Montero, Juan-Carlos Bentall, Tracey Burns, Karen E. A. Piraino, Thomas Lellouche, François Bouchard, Pierre-Alexandre Charbonney, Emmanuel Carteaux, Guillaume Maraffi, Tommaso Beduneau, Gaëtan Mercat, Alain Skrobik, Yoanna Zuo, Fei Lafreniere-Roula, Myriam Thorpe, Kevin Brochard, Laurent Bosma, Karen J. |
author_sort | Brault, Clement |
collection | PubMed |
description | BACKGROUND: Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. METHODS: The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH(2)O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F(i)O(2)) 40% for 30–120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. RESULTS: Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean (± standard deviation) F(i)O(2) of 34 (± 6) %, PSV of 8.7 (± 2.9) cmH(2)O, and positive end-expiratory pressure of 6.1 (± 1.6) cmH(2)O. Minute ventilation was 9.0 (± 3.1) L/min with a respiratory rate of 17.4 (± 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1–49] hours. Only 7 (8%) patients required reintubation. CONCLUSION: The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04063-4. |
format | Online Article Text |
id | pubmed-9219177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92191772022-06-24 The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing Brault, Clement Mancebo, Jordi Suarez Montero, Juan-Carlos Bentall, Tracey Burns, Karen E. A. Piraino, Thomas Lellouche, François Bouchard, Pierre-Alexandre Charbonney, Emmanuel Carteaux, Guillaume Maraffi, Tommaso Beduneau, Gaëtan Mercat, Alain Skrobik, Yoanna Zuo, Fei Lafreniere-Roula, Myriam Thorpe, Kevin Brochard, Laurent Bosma, Karen J. Crit Care Research BACKGROUND: Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for enrollment and subsequent randomization in the Proportional Assist Ventilation for Minimizing the Duration of MV (PROMIZING) study. METHODS: The algorithm included five steps: enrollment criteria, pressure support ventilation (PSV) tolerance trial, weaning criteria, continuous positive airway pressure (CPAP) tolerance trial (0 cmH(2)O during 2 min) and spontaneous breathing trial (SBT): on fraction of inspired oxygen (F(i)O(2)) 40% for 30–120 min. Patients who failed the weaning criteria, CPAP Zero trial, or SBT were randomized. We describe the characteristics of patients who were initially enrolled, but passed all steps in the algorithm and consequently were not randomized. RESULTS: Among the 374 enrolled patients, 93 (25%) patients passed all five steps. At time of enrollment, most patients were on PSV (87%) with a mean (± standard deviation) F(i)O(2) of 34 (± 6) %, PSV of 8.7 (± 2.9) cmH(2)O, and positive end-expiratory pressure of 6.1 (± 1.6) cmH(2)O. Minute ventilation was 9.0 (± 3.1) L/min with a respiratory rate of 17.4 (± 4.4) breaths/min. Patients were liberated from MV with a median [interquartile range] delay between initial screening and extubation of 5 [1–49] hours. Only 7 (8%) patients required reintubation. CONCLUSION: The trial algorithm permitted identification of 93 (25%) patients who were ready to extubate, while their clinicians predicted a duration of ventilation higher than 24 h. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04063-4. BioMed Central 2022-06-23 /pmc/articles/PMC9219177/ /pubmed/35739553 http://dx.doi.org/10.1186/s13054-022-04063-4 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 | Research Brault, Clement Mancebo, Jordi Suarez Montero, Juan-Carlos Bentall, Tracey Burns, Karen E. A. Piraino, Thomas Lellouche, François Bouchard, Pierre-Alexandre Charbonney, Emmanuel Carteaux, Guillaume Maraffi, Tommaso Beduneau, Gaëtan Mercat, Alain Skrobik, Yoanna Zuo, Fei Lafreniere-Roula, Myriam Thorpe, Kevin Brochard, Laurent Bosma, Karen J. The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title_full | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title_fullStr | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title_full_unstemmed | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title_short | The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing |
title_sort | promizing trial enrollment algorithm for early identification of patients ready for unassisted breathing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219177/ https://www.ncbi.nlm.nih.gov/pubmed/35739553 http://dx.doi.org/10.1186/s13054-022-04063-4 |
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