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Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis
Multiple trauma patients with severe chest trauma are at increased risk for tracheostomy. While the risk factors associated with the need for tracheostomy are well established in the general critical care population, they have not yet been validated in a cohort of patients suffering severe thoracic...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958106/ https://www.ncbi.nlm.nih.gov/pubmed/36828922 http://dx.doi.org/10.1038/s41598-023-30461-x |
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author | Bläsius, Felix M. Wutzler, Sebastian Störmann, Philipp Lustenberger, Thomas Frink, Michael Maegele, Marc Weuster, Matthias Bayer, Jörg Horst, Klemens Caspers, Michael Seekamp, Andreas Marzi, Ingo Hildebrand, Frank Andruszkow, Hagen |
author_facet | Bläsius, Felix M. Wutzler, Sebastian Störmann, Philipp Lustenberger, Thomas Frink, Michael Maegele, Marc Weuster, Matthias Bayer, Jörg Horst, Klemens Caspers, Michael Seekamp, Andreas Marzi, Ingo Hildebrand, Frank Andruszkow, Hagen |
author_sort | Bläsius, Felix M. |
collection | PubMed |
description | Multiple trauma patients with severe chest trauma are at increased risk for tracheostomy. While the risk factors associated with the need for tracheostomy are well established in the general critical care population, they have not yet been validated in a cohort of patients suffering severe thoracic trauma. This retrospective cohort study analysed data on patients aged 18 years or older who were admitted to one of the six participating academic level I trauma centres with multiple injuries, including severe thoracic trauma (AIS(Thorax) ≥ 3) between 2010 and 2014. A multivariable binary regression was used to identify predictor variables for tracheostomy and to develop the Tracheostomy in Thoracic Trauma Prediction Score (T(3)P-Score). The study included 1019 adult thoracic trauma patients, of whom 165 underwent tracheostomy during their intensive care unit (ICU) stay. Prehospital endotracheal intubation (adjusted OR [AOR]: 2.494, 95% CI [1.412; 4.405]), diagnosis of pneumonia during the ICU stay (AOR: 4.374, 95% CI [2.503; 7.642]), duration of mechanical ventilation (AOR: 1.008/hours of intubation, 95% CI [1.006; 1.009]), and an AIS(Head) ≥ 3 (AOR 1.840, 95% CI [1.039; 3.261]) were independent risk factors for tracheostomy. Patients with sepsis had a lower risk of tracheostomy than patients without sepsis (AOR 0.486, 95% CI [0.253; 0.935]). The T(3)P-Score had high predictive validity for tracheostomy (ROC(AUC) = 0.938, 95% CI [0.920, 0.956]; Nagelkerke’s R(2) was 0.601). The T(3)P-Score’s specificity was 0.68, and the sensitivity was 0.96. The severity of thoracic trauma did not predict the need for tracheostomy. Follow-up studies should validate the T(3)P-Score in external data sets and study the reasons for the reluctant use of tracheostomy in patients with severe thoracic trauma and subsequent sepsis. Trial registration: The study was applied for and registered a priori with the respective ethics committees. |
format | Online Article Text |
id | pubmed-9958106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99581062023-02-26 Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis Bläsius, Felix M. Wutzler, Sebastian Störmann, Philipp Lustenberger, Thomas Frink, Michael Maegele, Marc Weuster, Matthias Bayer, Jörg Horst, Klemens Caspers, Michael Seekamp, Andreas Marzi, Ingo Hildebrand, Frank Andruszkow, Hagen Sci Rep Article Multiple trauma patients with severe chest trauma are at increased risk for tracheostomy. While the risk factors associated with the need for tracheostomy are well established in the general critical care population, they have not yet been validated in a cohort of patients suffering severe thoracic trauma. This retrospective cohort study analysed data on patients aged 18 years or older who were admitted to one of the six participating academic level I trauma centres with multiple injuries, including severe thoracic trauma (AIS(Thorax) ≥ 3) between 2010 and 2014. A multivariable binary regression was used to identify predictor variables for tracheostomy and to develop the Tracheostomy in Thoracic Trauma Prediction Score (T(3)P-Score). The study included 1019 adult thoracic trauma patients, of whom 165 underwent tracheostomy during their intensive care unit (ICU) stay. Prehospital endotracheal intubation (adjusted OR [AOR]: 2.494, 95% CI [1.412; 4.405]), diagnosis of pneumonia during the ICU stay (AOR: 4.374, 95% CI [2.503; 7.642]), duration of mechanical ventilation (AOR: 1.008/hours of intubation, 95% CI [1.006; 1.009]), and an AIS(Head) ≥ 3 (AOR 1.840, 95% CI [1.039; 3.261]) were independent risk factors for tracheostomy. Patients with sepsis had a lower risk of tracheostomy than patients without sepsis (AOR 0.486, 95% CI [0.253; 0.935]). The T(3)P-Score had high predictive validity for tracheostomy (ROC(AUC) = 0.938, 95% CI [0.920, 0.956]; Nagelkerke’s R(2) was 0.601). The T(3)P-Score’s specificity was 0.68, and the sensitivity was 0.96. The severity of thoracic trauma did not predict the need for tracheostomy. Follow-up studies should validate the T(3)P-Score in external data sets and study the reasons for the reluctant use of tracheostomy in patients with severe thoracic trauma and subsequent sepsis. Trial registration: The study was applied for and registered a priori with the respective ethics committees. Nature Publishing Group UK 2023-02-24 /pmc/articles/PMC9958106/ /pubmed/36828922 http://dx.doi.org/10.1038/s41598-023-30461-x 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/) . |
spellingShingle | Article Bläsius, Felix M. Wutzler, Sebastian Störmann, Philipp Lustenberger, Thomas Frink, Michael Maegele, Marc Weuster, Matthias Bayer, Jörg Horst, Klemens Caspers, Michael Seekamp, Andreas Marzi, Ingo Hildebrand, Frank Andruszkow, Hagen Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title | Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title_full | Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title_fullStr | Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title_full_unstemmed | Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title_short | Predicting tracheostomy in multiple injured patients with severe thoracic injury (AIS ≥ 3) with the new T(3)P-Score: a multivariable regression prediction analysis |
title_sort | predicting tracheostomy in multiple injured patients with severe thoracic injury (ais ≥ 3) with the new t(3)p-score: a multivariable regression prediction analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958106/ https://www.ncbi.nlm.nih.gov/pubmed/36828922 http://dx.doi.org/10.1038/s41598-023-30461-x |
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