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中华神经创伤外科电子杂志 ›› 2021, Vol. 07 ›› Issue (03) : 132 -136. doi: 10.3877/cma.j.issn.2095-9141.2021.03.002

颅脑与脊髓损伤

成年重型颅脑损伤后加重继发性脑损伤的危险因素分析
何鑫1, 贺亚龙1, 武秀权1, 吴霜1, 郇宇1, 王凯1, 杜伟1, 费舟1, 李侠1,()   
  1. 1. 710032 西安,空军军医大学第一附属医院神经外科
  • 收稿日期:2021-03-04 出版日期:2021-06-15
  • 通信作者: 李侠
  • 基金资助:
    国家自然科学基金(81974188); 陕西省自然科学基金基础研究计划(2020JM-338)

Analysis of risk factors for aggravating secondary brain injury after adult severe traumatic brain injury

Xin He1, Yalong He1, Xiuquan Wu1, Shuang Wu1, Yu Huan1, Kai Wang1, Wei Du1, Zhou Fei1, Xia Li1,()   

  1. 1. Department of Neurosurgery, the First Affiliated Hospital, Air Force Military Medical University, Xi’an 710032, China
  • Received:2021-03-04 Published:2021-06-15
  • Corresponding author: Xia Li
引用本文:

何鑫, 贺亚龙, 武秀权, 吴霜, 郇宇, 王凯, 杜伟, 费舟, 李侠. 成年重型颅脑损伤后加重继发性脑损伤的危险因素分析[J]. 中华神经创伤外科电子杂志, 2021, 07(03): 132-136.

Xin He, Yalong He, Xiuquan Wu, Shuang Wu, Yu Huan, Kai Wang, Wei Du, Zhou Fei, Xia Li. Analysis of risk factors for aggravating secondary brain injury after adult severe traumatic brain injury[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2021, 07(03): 132-136.

目的

探讨成年重型颅脑损伤(sTBI)后加重继发性脑损伤的危险因素作用。

方法

选取空军军医大学第一附属医院神经外科自2011年10月至2020年10月收治的成年sTBI患者439例,按照患者出院时GOS评分分为预后良好组与预后不良组。观察2组患者的一般资料,采用单因素分析影响sTBI预后的相关因素,采用多因素Logistic回归分析影响sTBI预后不良的独立危险因素。

结果

439例sTBI患者中,预后良好91例,预后不良348例。单因素分析结果显示,2组患者的年龄、有无基础性疾病病史、是否脑疝、入院GCS评分、发热、心率、血钠、血钾、血糖、肾功能异常、低氧比较差异有统计学意义(P<0.05)。将单因素分析中P<0.1的因素纳入多因素Logistic回归分析显示,高龄(>65岁)、入院GCS评分≤5分、低氧(PO2<60 mmHg)、心动过速(>100次/min)、高血钾(>5.5 mmol/L)、高血糖(>11.1 mmol/L)是sTBI预后不良的独立危险因素。

结论

成人sTBI预后不良受多个因素的影响,尤其是二次脑损伤因素,其中高龄、GCS评分≤5分、低氧、心动过速、高血钾、高血糖为独立危险因素。

Objective

To investigate the function of risk factors for aggravating secondary brain injury after adult severe traumatic brain injury (sTBI).

Methods

From October 2011 to October 2020, 439 adult patients with sTBI admitted to Neurosurgery Department of the First Affiliated Hospital, Air Force Military Medical University were divided into two groups, good prognosis group (91 cases) and poor prognosis group (348 cases), according to GOS scores at discharge. The general data of the two groups were observed. Univariate analysis was used to analyze the factors associated with poor prognosis of sTBI. Multivariate Logistic regression was used to analyze the independent prognostic risk factors of sTBI.

Results

Of the 439 patients with sTBI, 91 had good prognosis and 348 had poor prognosis. Univariate analysis showed that there were statistically significant differences between the two groups in age, underlying disease history, cerebral hernia, admission GCS score, fever, heart rate, serum sodium, serum potassium, blood glucose, abnormal renal function and hypoxia (P<0.05). Multivariate Logistic regression analysis which integrated P<0.1 factors in univariate analysis showed that age (>65 years), admission GCS≤5, hypoxia (PO2<60 mmHg), tachycardia (>100 beats/min), hyperkalemia (>5.5 mmol/L) and hyperglycemia (>11.1 mmol/L) were the risk factors for poor prognosis of sTBI.

Conclusion

The poor prognosis of adults with sTBI is affected by multiple factors, especially the factors of secondary brain insult. Among them, advanced age, GCS≤5, hypoxia, tachycardia, hyperkalemia and hyperglycemia are independent risk factors.

表1 重型颅脑损伤患者不同预后的单因素分析[例(%)]
表2 重型颅脑损伤患者预后不良的多因素Logistic回归分析
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