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Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis

BACKGROUND: Extubation failure is an important issue in ventilated patients and its risk factors remain a matter of research. We conducted a systematic review and meta-analysis to explore factors associated with extubation failure in ventilated patients who passed a spontaneous breathing trial and u...

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Autores principales: Torrini, Flavia, Gendreau, Ségolène, Morel, Johanna, Carteaux, Guillaume, Thille, Arnaud W., Antonelli, Massimo, Mekontso Dessap, Armand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591441/
https://www.ncbi.nlm.nih.gov/pubmed/34782003
http://dx.doi.org/10.1186/s13054-021-03802-3
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author Torrini, Flavia
Gendreau, Ségolène
Morel, Johanna
Carteaux, Guillaume
Thille, Arnaud W.
Antonelli, Massimo
Mekontso Dessap, Armand
author_facet Torrini, Flavia
Gendreau, Ségolène
Morel, Johanna
Carteaux, Guillaume
Thille, Arnaud W.
Antonelli, Massimo
Mekontso Dessap, Armand
author_sort Torrini, Flavia
collection PubMed
description BACKGROUND: Extubation failure is an important issue in ventilated patients and its risk factors remain a matter of research. We conducted a systematic review and meta-analysis to explore factors associated with extubation failure in ventilated patients who passed a spontaneous breathing trial and underwent planned extubation. This systematic review was registered in PROPERO with the Registration ID CRD42019137003. METHODS: We searched the PubMed, Web of Science and Cochrane Controlled Register of Trials for studies published from January 1998 to December 2018. We included observational studies involving risk factors associated with extubation failure in adult intensive care unit patients who underwent invasive mechanical ventilation. Two authors independently extracted data and assessed the validity of included studies. RESULTS: Sixty-seven studies (involving 26,847 participants) met the inclusion criteria and were included in our meta-analysis. We analyzed 49 variables and, among them, we identified 26 factors significantly associated with extubation failure. Risk factors were distributed into three domains (comorbidities, acute disease severity and characteristics at time of extubation) involving mainly three functions (circulatory, respiratory and neurological). Among these, the physiological respiratory characteristics at time of extubation were the most represented. The individual topic of secretion management was the one with the largest number of variables. By Bayesian multivariable meta-analysis, twelve factors were significantly associated with extubation failure: age, history of cardiac disease, history of respiratory disease, Simplified Acute Physiologic Score II score, pneumonia, duration of mechanical ventilation, heart rate, Rapid Shallow Breathing Index, negative inspiratory force, lower PaO(2)/FiO(2) ratio, lower hemoglobin level and lower Glasgow Coma Scale before extubation, with the latest factor having the strongest association with extubation outcome. CONCLUSIONS: Numerous factors are associated with extubation failure in critically ill patients who have passed a spontaneous breathing trial. Robust multiparametric clinical scores and/or artificial intelligence algorithms should be tested based on the selected independent variables in order to improve the prediction of extubation outcome in the clinical scenario. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03802-3.
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spelling pubmed-85914412021-11-15 Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis Torrini, Flavia Gendreau, Ségolène Morel, Johanna Carteaux, Guillaume Thille, Arnaud W. Antonelli, Massimo Mekontso Dessap, Armand Crit Care Research BACKGROUND: Extubation failure is an important issue in ventilated patients and its risk factors remain a matter of research. We conducted a systematic review and meta-analysis to explore factors associated with extubation failure in ventilated patients who passed a spontaneous breathing trial and underwent planned extubation. This systematic review was registered in PROPERO with the Registration ID CRD42019137003. METHODS: We searched the PubMed, Web of Science and Cochrane Controlled Register of Trials for studies published from January 1998 to December 2018. We included observational studies involving risk factors associated with extubation failure in adult intensive care unit patients who underwent invasive mechanical ventilation. Two authors independently extracted data and assessed the validity of included studies. RESULTS: Sixty-seven studies (involving 26,847 participants) met the inclusion criteria and were included in our meta-analysis. We analyzed 49 variables and, among them, we identified 26 factors significantly associated with extubation failure. Risk factors were distributed into three domains (comorbidities, acute disease severity and characteristics at time of extubation) involving mainly three functions (circulatory, respiratory and neurological). Among these, the physiological respiratory characteristics at time of extubation were the most represented. The individual topic of secretion management was the one with the largest number of variables. By Bayesian multivariable meta-analysis, twelve factors were significantly associated with extubation failure: age, history of cardiac disease, history of respiratory disease, Simplified Acute Physiologic Score II score, pneumonia, duration of mechanical ventilation, heart rate, Rapid Shallow Breathing Index, negative inspiratory force, lower PaO(2)/FiO(2) ratio, lower hemoglobin level and lower Glasgow Coma Scale before extubation, with the latest factor having the strongest association with extubation outcome. CONCLUSIONS: Numerous factors are associated with extubation failure in critically ill patients who have passed a spontaneous breathing trial. Robust multiparametric clinical scores and/or artificial intelligence algorithms should be tested based on the selected independent variables in order to improve the prediction of extubation outcome in the clinical scenario. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03802-3. BioMed Central 2021-11-15 /pmc/articles/PMC8591441/ /pubmed/34782003 http://dx.doi.org/10.1186/s13054-021-03802-3 Text en © The Author(s) 2021 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
Torrini, Flavia
Gendreau, Ségolène
Morel, Johanna
Carteaux, Guillaume
Thille, Arnaud W.
Antonelli, Massimo
Mekontso Dessap, Armand
Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title_full Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title_fullStr Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title_full_unstemmed Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title_short Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
title_sort prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591441/
https://www.ncbi.nlm.nih.gov/pubmed/34782003
http://dx.doi.org/10.1186/s13054-021-03802-3
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