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Impact of Thoracic Injury on Traumatic Brain Injury Outcome

BACKGROUND: To assessed the significance of thoracic injury on the 30-day mortality and outcome of traumatic brain injury (TBI). METHODS: TBI patients admitted to our department were retrospectively evaluated. We developed two prognostic models based on admission predictors with logistic regression...

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Autores principales: Dai, Dawei, Yuan, Qiang, Sun, Yinfeng, Yuan, Fang, Su, Zuopeng, Ding, Jun, Tian, Hengli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760828/
https://www.ncbi.nlm.nih.gov/pubmed/24019957
http://dx.doi.org/10.1371/journal.pone.0074204
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author Dai, Dawei
Yuan, Qiang
Sun, Yinfeng
Yuan, Fang
Su, Zuopeng
Ding, Jun
Tian, Hengli
author_facet Dai, Dawei
Yuan, Qiang
Sun, Yinfeng
Yuan, Fang
Su, Zuopeng
Ding, Jun
Tian, Hengli
author_sort Dai, Dawei
collection PubMed
description BACKGROUND: To assessed the significance of thoracic injury on the 30-day mortality and outcome of traumatic brain injury (TBI). METHODS: TBI patients admitted to our department were retrospectively evaluated. We developed two prognostic models based on admission predictors with logistic regression analysis to assess the significance of thoracic injuries in determining the 30-day mortality and outcome. The internal validity of the models was evaluated with the bootstrap re-sampling technique. We also validated the models in an external series of 165 patients that collected from our center. Discriminative ability was evaluated with C statistic. Calibrative ability was assessed with the Hosmer-Lemeshow test (H-L test). RESULTS: Among 505 TBI patients admitted, 102 (20.2%) had thoracic injuries. Patients with a PCS ≥6 had a 3.142 and 8.065 times higher odds of mortality and poor outcome compared with patients with a PCS <6, respectively. Any one-score increase of the TTS had a 1.193 times higher odds of a poor outcome (p = 0.017). The predictive model for mortality and 30-day functional outcome both had good accuracy (AUC: 0.875; 95% confidence interval [CI], 0.841–0.910 and AUC: 0.888; 95%CI, 0.860–0.916, respectively). Internal validation showed no over optimism in any of the two models’ predictive C statistics (C statistic 0.872 for 30-day mortality and C statistic 0.884 for the 30-day neurological outcome). The external validation confirmed the discriminatory ability of these models (C statistic 0.949 (95%CI: 0.919–0.980) for 30-day mortality and C statistic 0.915 (95%CI: 0.868–0.963) for the 30-day neurological outcome). The calibration was also good for patients from the validation population (H-L test p>0.05). CONCLUSION: Thoracic injury diagnosed by CT has a negative impact on the 30-day mortality and functional outcome of TBI patients. The extent of PC and the TTS are the predictors for TBI outcome.
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spelling pubmed-37608282013-09-09 Impact of Thoracic Injury on Traumatic Brain Injury Outcome Dai, Dawei Yuan, Qiang Sun, Yinfeng Yuan, Fang Su, Zuopeng Ding, Jun Tian, Hengli PLoS One Research Article BACKGROUND: To assessed the significance of thoracic injury on the 30-day mortality and outcome of traumatic brain injury (TBI). METHODS: TBI patients admitted to our department were retrospectively evaluated. We developed two prognostic models based on admission predictors with logistic regression analysis to assess the significance of thoracic injuries in determining the 30-day mortality and outcome. The internal validity of the models was evaluated with the bootstrap re-sampling technique. We also validated the models in an external series of 165 patients that collected from our center. Discriminative ability was evaluated with C statistic. Calibrative ability was assessed with the Hosmer-Lemeshow test (H-L test). RESULTS: Among 505 TBI patients admitted, 102 (20.2%) had thoracic injuries. Patients with a PCS ≥6 had a 3.142 and 8.065 times higher odds of mortality and poor outcome compared with patients with a PCS <6, respectively. Any one-score increase of the TTS had a 1.193 times higher odds of a poor outcome (p = 0.017). The predictive model for mortality and 30-day functional outcome both had good accuracy (AUC: 0.875; 95% confidence interval [CI], 0.841–0.910 and AUC: 0.888; 95%CI, 0.860–0.916, respectively). Internal validation showed no over optimism in any of the two models’ predictive C statistics (C statistic 0.872 for 30-day mortality and C statistic 0.884 for the 30-day neurological outcome). The external validation confirmed the discriminatory ability of these models (C statistic 0.949 (95%CI: 0.919–0.980) for 30-day mortality and C statistic 0.915 (95%CI: 0.868–0.963) for the 30-day neurological outcome). The calibration was also good for patients from the validation population (H-L test p>0.05). CONCLUSION: Thoracic injury diagnosed by CT has a negative impact on the 30-day mortality and functional outcome of TBI patients. The extent of PC and the TTS are the predictors for TBI outcome. Public Library of Science 2013-09-03 /pmc/articles/PMC3760828/ /pubmed/24019957 http://dx.doi.org/10.1371/journal.pone.0074204 Text en © 2013 Dai et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dai, Dawei
Yuan, Qiang
Sun, Yinfeng
Yuan, Fang
Su, Zuopeng
Ding, Jun
Tian, Hengli
Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title_full Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title_fullStr Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title_full_unstemmed Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title_short Impact of Thoracic Injury on Traumatic Brain Injury Outcome
title_sort impact of thoracic injury on traumatic brain injury outcome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760828/
https://www.ncbi.nlm.nih.gov/pubmed/24019957
http://dx.doi.org/10.1371/journal.pone.0074204
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