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Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes

OBJECTIVE: To assess the effect of adding coagulation indices to the currently existing prognostic prediction models of traumatic brain injury (TBI) in the prediction of outcome. METHODS: A total of 210 TBI patients from 2017 to 2019 and 131 TBI patients in 2020 were selected for development and int...

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Autores principales: Xu, Lanjuan, An, Tingting, Li, Chengjian, Shi, Xin, Yang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345690/
https://www.ncbi.nlm.nih.gov/pubmed/35928635
http://dx.doi.org/10.1155/2022/3876805
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author Xu, Lanjuan
An, Tingting
Li, Chengjian
Shi, Xin
Yang, Bo
author_facet Xu, Lanjuan
An, Tingting
Li, Chengjian
Shi, Xin
Yang, Bo
author_sort Xu, Lanjuan
collection PubMed
description OBJECTIVE: To assess the effect of adding coagulation indices to the currently existing prognostic prediction models of traumatic brain injury (TBI) in the prediction of outcome. METHODS: A total of 210 TBI patients from 2017 to 2019 and 131 TBI patients in 2020 were selected for development and internal verification of the new model. The primary outcomes include death at 14 days and Glasgow Outcome Score (GOS) at 6 months. The performance of each model is evaluated by means of discrimination (area under the curve (AUC)), calibration (Hosmer-Lemeshow (H-L) goodness-of-fit test), and precision (Brier score). RESULTS: The IMPACT Core model showed better prediction ability than the CRASH Basic model. Adding one coagulation index at a time to the IMPACT Core model, the new combined models IMPACT Core+FIB and IMPACT Core+APTT are optimal for the 6-month unfavorable outcome and 6-month mortality, respectively (AUC, 0.830 and 0.878). The new models were built based on the regression coefficients of the models. Internal verification indicated that for the prediction of 6-month unfavorable outcome and 6-month mortality, both the IMPACT Core+FIB model and the IMPACT Core+APTT model show better discrimination (AUC, 0.823 vs. 0.818 and 0.853 vs. 0.837), better calibration (HL, p = 0.114 and p = 0.317) and higher precision (Brier score, 0.148 vs. 0.141 and 0.147 vs. 0.164), respectively, than the original models. CONCLUSION: Our research shows that the combination of the traumatic brain injury prognostic models and coagulation indices can improve the 6-month outcome prediction of patients with TBI.
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spelling pubmed-93456902022-08-03 Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes Xu, Lanjuan An, Tingting Li, Chengjian Shi, Xin Yang, Bo J Immunol Res Research Article OBJECTIVE: To assess the effect of adding coagulation indices to the currently existing prognostic prediction models of traumatic brain injury (TBI) in the prediction of outcome. METHODS: A total of 210 TBI patients from 2017 to 2019 and 131 TBI patients in 2020 were selected for development and internal verification of the new model. The primary outcomes include death at 14 days and Glasgow Outcome Score (GOS) at 6 months. The performance of each model is evaluated by means of discrimination (area under the curve (AUC)), calibration (Hosmer-Lemeshow (H-L) goodness-of-fit test), and precision (Brier score). RESULTS: The IMPACT Core model showed better prediction ability than the CRASH Basic model. Adding one coagulation index at a time to the IMPACT Core model, the new combined models IMPACT Core+FIB and IMPACT Core+APTT are optimal for the 6-month unfavorable outcome and 6-month mortality, respectively (AUC, 0.830 and 0.878). The new models were built based on the regression coefficients of the models. Internal verification indicated that for the prediction of 6-month unfavorable outcome and 6-month mortality, both the IMPACT Core+FIB model and the IMPACT Core+APTT model show better discrimination (AUC, 0.823 vs. 0.818 and 0.853 vs. 0.837), better calibration (HL, p = 0.114 and p = 0.317) and higher precision (Brier score, 0.148 vs. 0.141 and 0.147 vs. 0.164), respectively, than the original models. CONCLUSION: Our research shows that the combination of the traumatic brain injury prognostic models and coagulation indices can improve the 6-month outcome prediction of patients with TBI. Hindawi 2022-07-26 /pmc/articles/PMC9345690/ /pubmed/35928635 http://dx.doi.org/10.1155/2022/3876805 Text en Copyright © 2022 Lanjuan Xu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Lanjuan
An, Tingting
Li, Chengjian
Shi, Xin
Yang, Bo
Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title_full Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title_fullStr Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title_full_unstemmed Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title_short Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes
title_sort development and verification of prognostic prediction models for patients with brain trauma based on coagulation function indexes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345690/
https://www.ncbi.nlm.nih.gov/pubmed/35928635
http://dx.doi.org/10.1155/2022/3876805
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