Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury

SU Guan; CHEN Yan-ru; YANG Tao; LIANG Cheng-ying; ZHANG Ruo

doi:10.16766/j.cnki.issn.1674-4152.001721

Volume 19 Issue 1

Jan. 2021

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Article Navigation > Chinese Journal of General Practice > 2021 > 19(1): 27-30

SU Guan, CHEN Yan-ru, YANG Tao, LIANG Cheng-ying, ZHANG Ruo. Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury[J]. Chinese Journal of General Practice, 2021, 19(1): 27-30. doi: 10.16766/j.cnki.issn.1674-4152.001721

Citation:

SU Guan, CHEN Yan-ru, YANG Tao, LIANG Cheng-ying, ZHANG Ruo. Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury[J]. Chinese Journal of General Practice, 2021, 19(1): 27-30. doi: 10.16766/j.cnki.issn.1674-4152.001721

Citation:

SU Guan, CHEN Yan-ru, YANG Tao, LIANG Cheng-ying, ZHANG Ruo. Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury[J]. Chinese Journal of General Practice, 2021, 19(1): 27-30. doi: 10.16766/j.cnki.issn.1674-4152.001721

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Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury

doi: 10.16766/j.cnki.issn.1674-4152.001721

1.
Department of DSA Center, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China

Funds:

LY15H090016

Y20160175

Received Date: 2020-02-16
Available Online: 2022-02-19

Abstract

Abstract

Objective To investigate the efficacy of four scoring methods in evaluating the prognosis of patients with traumatic brain injury (TBI). Methods A total of 149 patients with TBI who were admitted to the Second Affiliated Hospital of Wenzhou Medical University from January 2017 to June 2018 were selected. According to the prognosis at 28 days after admission, all patients were divided into two types: good prognosis and poor prognosis. The general data of the two groups of patients at admission was analyzed and the patients' admission status was scored based on the Glasgow Coma Index (GCS), Acute Physiology and Chronic Health Status Score (APACHEⅡ), Modified Early Warning Score (MEWS), and Triage Early Warning Score (TEWS). Then logistic regression analysis was used to determine the factors affecting the prognosis of the patients, and the ROC curve was used to evaluate the predictive power of the four scores on the prognosis of the patients. Results The number of patients with poor prognosis at the time of discharge was 42, and the poor prognosis rate was 28.18%. The intracranial hemorrhage rate, GCS, APACHEⅡ, MEWS, and TEWS of patients with good prognosis were significantly lower than those with poor prognosis, and the injuries were significantly better than those with poor prognosis (all P < 0.05). The APACHEⅡ, MEWS and TEWS were the independent risk factors that affect the prognosis of patients (all P < 0.05). The results of ROC analysis showed that the prognosis of APACHEⅡ and TEWS for TBI patients were significantly greater than that of MEWS (both P < 0.05), and the prognosis of APACHEⅡ and TEWS for TBI patients were not significantly different (P>0.05). Conclusion Both TWES and APACHEⅡ have better predictive power for the prognosis of TBI patients, but the positive predictive reliability of TWES is good, and they can be used in TBI patients' admission evaluation.
- Warning score,
- Traumatic brain injury,
- Prognosis,
- Predictive analysis

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Comparative analysis of four scoring systems in predicting the short-term prognosis of patients with traumatic brain injury

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