Coma-awake prediction model of coma patients with severe traumatic brain injury
10.3760/cma.j.issn.1671-8925.2013.03.019
- VernacularTitle:重型颅脑损伤昏迷患者的清醒预测模型
- Author:
Dong HU
1
;
Xue-Zhi BI
;
Fu HUANG
;
Hua XIAO
Author Information
1. 南方医科大学附属花都医院神经外科
- Keywords:
Severe traumatic brain injury;
Coma;
Awakening;
Prediction model
- From:
Chinese Journal of Neuromedicine
2013;12(3):296-300
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore a method that predicts the awakening probability of coma patients with severe traumatic brain injury,and develop models for its clinical application.Methods Clinical data of 263 coma patients with severe traumatic brain injury were analyzed retrospectively.Multinomial logistic regression method was employed to analyze the factors related to prognosis of coma patients with severe traumatic brain injury in early stage,and the models of predicting the awakening probability were established.Results Multinomial logistic regression analysis showed that 6 factors,which included age,pupillary light reflex at admission,movement Glasgow scale (mGCS) scores,whether the brainstem was pressed under CT images,opening time of eyes after treatment,and percentages of ischemic brain volume under CT images,were independent factors to predict the awakening probability of coma patients with severe traumatic brain injury.Pearson Residual evaluation showed that the models have well goodness of fit index.Conclusion The prediction models have well goodness of fit,and predict factors that used in the models are easily to obtain in primly hospitals,so it has a wide range of clinical application prospects in coma patients with severe traumatic brain injury in early stage.
