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Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial

BACKGROUND: The results of clinical and weaning readiness tests and the spontaneous breathing trial (SBT) are used to predict the success of the weaning process and extubation. METHODS: We evaluated the capacity of the cuff leak test, rate of rapid and shallow breathing, cough intensity, and diaphra...

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Autores principales: Varón-Vega, Fabio, Giraldo-Cadavid, Luis F., Uribe, Ana María, Rincón, Adriana, Palacios, Jonathan, Crevoisier, Stephanie, Tuta-Quintero, Eduardo, Ordoñez, Lina, Boada, Natalia, Rincón, Paola, Poveda, Marcela, Monedero, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617213/
https://www.ncbi.nlm.nih.gov/pubmed/37908002
http://dx.doi.org/10.1186/s13054-023-04708-y
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author Varón-Vega, Fabio
Giraldo-Cadavid, Luis F.
Uribe, Ana María
Rincón, Adriana
Palacios, Jonathan
Crevoisier, Stephanie
Tuta-Quintero, Eduardo
Ordoñez, Lina
Boada, Natalia
Rincón, Paola
Poveda, Marcela
Monedero, Pablo
author_facet Varón-Vega, Fabio
Giraldo-Cadavid, Luis F.
Uribe, Ana María
Rincón, Adriana
Palacios, Jonathan
Crevoisier, Stephanie
Tuta-Quintero, Eduardo
Ordoñez, Lina
Boada, Natalia
Rincón, Paola
Poveda, Marcela
Monedero, Pablo
author_sort Varón-Vega, Fabio
collection PubMed
description BACKGROUND: The results of clinical and weaning readiness tests and the spontaneous breathing trial (SBT) are used to predict the success of the weaning process and extubation. METHODS: We evaluated the capacity of the cuff leak test, rate of rapid and shallow breathing, cough intensity, and diaphragmatic contraction velocity (DCV) to predict the success of the SBT and extubation in a prospective, multicenter observational study with consecutive adult patients admitted to four intensive care units. We used receiver operating characteristic (ROC) curves to assess the tests’ predictive capacity and built predictive models using logistic regression. RESULTS: We recruited 367 subjects who were receiving invasive mechanical ventilation and on whom 456 SBTs were performed, with a success rate of 76.5%. To predict the success of the SBT, we derived the following equation: (0.56 × Cough) − (0.13 × DCV) + 0.25. When the cutoff point was ≥ 0.83, the sensitivity was 91.5%, the specificity was 22.1%, and the overall accuracy was 76.2%. The area under the ROC curve (AUC-ROC) was 0.63. To predict extubation success, we derived the following equation: (5.7 × SBT) + (0.75 × Cough) − (0.25 × DCV) − 4.5. When the cutoff point was ≥ 1.25, the sensitivity was 96.8%, the specificity was 78.4%, and the overall accuracy was 91.5%. The AUC-ROC of this model was 0.91. CONCLUSION: Objective measurement of cough and diaphragmatic contraction velocity could be used to predict SBT success. The equation for predicting successful extubation, which includes SBT, cough, and diaphragmatic contraction velocity values, showed excellent discriminative capacity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04708-y.
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spelling pubmed-106172132023-11-01 Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial Varón-Vega, Fabio Giraldo-Cadavid, Luis F. Uribe, Ana María Rincón, Adriana Palacios, Jonathan Crevoisier, Stephanie Tuta-Quintero, Eduardo Ordoñez, Lina Boada, Natalia Rincón, Paola Poveda, Marcela Monedero, Pablo Crit Care Research BACKGROUND: The results of clinical and weaning readiness tests and the spontaneous breathing trial (SBT) are used to predict the success of the weaning process and extubation. METHODS: We evaluated the capacity of the cuff leak test, rate of rapid and shallow breathing, cough intensity, and diaphragmatic contraction velocity (DCV) to predict the success of the SBT and extubation in a prospective, multicenter observational study with consecutive adult patients admitted to four intensive care units. We used receiver operating characteristic (ROC) curves to assess the tests’ predictive capacity and built predictive models using logistic regression. RESULTS: We recruited 367 subjects who were receiving invasive mechanical ventilation and on whom 456 SBTs were performed, with a success rate of 76.5%. To predict the success of the SBT, we derived the following equation: (0.56 × Cough) − (0.13 × DCV) + 0.25. When the cutoff point was ≥ 0.83, the sensitivity was 91.5%, the specificity was 22.1%, and the overall accuracy was 76.2%. The area under the ROC curve (AUC-ROC) was 0.63. To predict extubation success, we derived the following equation: (5.7 × SBT) + (0.75 × Cough) − (0.25 × DCV) − 4.5. When the cutoff point was ≥ 1.25, the sensitivity was 96.8%, the specificity was 78.4%, and the overall accuracy was 91.5%. The AUC-ROC of this model was 0.91. CONCLUSION: Objective measurement of cough and diaphragmatic contraction velocity could be used to predict SBT success. The equation for predicting successful extubation, which includes SBT, cough, and diaphragmatic contraction velocity values, showed excellent discriminative capacity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04708-y. BioMed Central 2023-10-31 /pmc/articles/PMC10617213/ /pubmed/37908002 http://dx.doi.org/10.1186/s13054-023-04708-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Varón-Vega, Fabio
Giraldo-Cadavid, Luis F.
Uribe, Ana María
Rincón, Adriana
Palacios, Jonathan
Crevoisier, Stephanie
Tuta-Quintero, Eduardo
Ordoñez, Lina
Boada, Natalia
Rincón, Paola
Poveda, Marcela
Monedero, Pablo
Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title_full Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title_fullStr Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title_full_unstemmed Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title_short Utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: COBRE-US trial
title_sort utilization of spontaneous breathing trial, objective cough test, and diaphragmatic ultrasound results to predict extubation success: cobre-us trial
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617213/
https://www.ncbi.nlm.nih.gov/pubmed/37908002
http://dx.doi.org/10.1186/s13054-023-04708-y
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