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Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients
OBJECTIVE: To derive and validate a multivariate risk score for the prediction of respiratory failure after extubation. PATIENTS AND METHODS: We performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mecha...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891541/ https://www.ncbi.nlm.nih.gov/pubmed/35252224 http://dx.doi.org/10.3389/fmed.2021.789440 |
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author | Bansal, Vikas Smischney, Nathan J. Kashyap, Rahul Li, Zhuo Marquez, Alberto Diedrich, Daniel A. Siegel, Jason L. Sen, Ayan Tomlinson, Amanda D. Venegas-Borsellino, Carla P. Freeman, William David |
author_facet | Bansal, Vikas Smischney, Nathan J. Kashyap, Rahul Li, Zhuo Marquez, Alberto Diedrich, Daniel A. Siegel, Jason L. Sen, Ayan Tomlinson, Amanda D. Venegas-Borsellino, Carla P. Freeman, William David |
author_sort | Bansal, Vikas |
collection | PubMed |
description | OBJECTIVE: To derive and validate a multivariate risk score for the prediction of respiratory failure after extubation. PATIENTS AND METHODS: We performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubation Summation Calculation (RISC) score. RESULTS: The 6,161 included patients were randomly divided into 2 sets: derivation (n = 3,080) and validation (n = 3,081). Predictors of extubation failure in the derivation set included body mass index <18.5 kg/m(2) [odds ratio (OR), 1.91; 95% CI, 1.12–3.26; P = 0.02], threshold of Glasgow Coma Scale of at least 10 (OR, 1.68; 95% CI, 1.31–2.16; P < 0.001), mean airway pressure at 1 min of spontaneous breathing trial <10 cmH(2)O (OR, 2.11; 95% CI, 1.68–2.66; P < 0.001), fluid balance ≥1,500 mL 24 h preceding extubation (OR, 2.36; 95% CI, 1.87–2.96; P < 0.001), and total mechanical ventilation days ≥5 (OR, 3.94; 95% CI 3.04–5.11; P < 0.001). The C-index for the derivation and validation sets were 0.72 (95% CI, 0.70–0.75) and 0.72 (95% CI, 0.69–0.75). Multivariate logistic regression demonstrated that an increase of 1 in RISC score increased odds of extubation failure 1.6-fold (OR, 1.58; 95% CI, 1.47–1.69; P < 0.001). CONCLUSION: RISC predicts extubation failure in mechanically ventilated patients in the intensive care unit using several clinically relevant variables available in the electronic medical record but requires a larger validation cohort before widespread clinical implementation. |
format | Online Article Text |
id | pubmed-8891541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88915412022-03-04 Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients Bansal, Vikas Smischney, Nathan J. Kashyap, Rahul Li, Zhuo Marquez, Alberto Diedrich, Daniel A. Siegel, Jason L. Sen, Ayan Tomlinson, Amanda D. Venegas-Borsellino, Carla P. Freeman, William David Front Med (Lausanne) Medicine OBJECTIVE: To derive and validate a multivariate risk score for the prediction of respiratory failure after extubation. PATIENTS AND METHODS: We performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubation Summation Calculation (RISC) score. RESULTS: The 6,161 included patients were randomly divided into 2 sets: derivation (n = 3,080) and validation (n = 3,081). Predictors of extubation failure in the derivation set included body mass index <18.5 kg/m(2) [odds ratio (OR), 1.91; 95% CI, 1.12–3.26; P = 0.02], threshold of Glasgow Coma Scale of at least 10 (OR, 1.68; 95% CI, 1.31–2.16; P < 0.001), mean airway pressure at 1 min of spontaneous breathing trial <10 cmH(2)O (OR, 2.11; 95% CI, 1.68–2.66; P < 0.001), fluid balance ≥1,500 mL 24 h preceding extubation (OR, 2.36; 95% CI, 1.87–2.96; P < 0.001), and total mechanical ventilation days ≥5 (OR, 3.94; 95% CI 3.04–5.11; P < 0.001). The C-index for the derivation and validation sets were 0.72 (95% CI, 0.70–0.75) and 0.72 (95% CI, 0.69–0.75). Multivariate logistic regression demonstrated that an increase of 1 in RISC score increased odds of extubation failure 1.6-fold (OR, 1.58; 95% CI, 1.47–1.69; P < 0.001). CONCLUSION: RISC predicts extubation failure in mechanically ventilated patients in the intensive care unit using several clinically relevant variables available in the electronic medical record but requires a larger validation cohort before widespread clinical implementation. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8891541/ /pubmed/35252224 http://dx.doi.org/10.3389/fmed.2021.789440 Text en Copyright © 2022 Bansal, Smischney, Kashyap, Li, Marquez, Diedrich, Siegel, Sen, Tomlinson, Venegas-Borsellino and Freeman. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Bansal, Vikas Smischney, Nathan J. Kashyap, Rahul Li, Zhuo Marquez, Alberto Diedrich, Daniel A. Siegel, Jason L. Sen, Ayan Tomlinson, Amanda D. Venegas-Borsellino, Carla P. Freeman, William David Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title | Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title_full | Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title_fullStr | Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title_full_unstemmed | Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title_short | Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients |
title_sort | reintubation summation calculation: a predictive score for extubation failure in critically ill patients |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891541/ https://www.ncbi.nlm.nih.gov/pubmed/35252224 http://dx.doi.org/10.3389/fmed.2021.789440 |
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