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中华脑科疾病与康复杂志(电子版) ›› 2024, Vol. 14 ›› Issue (04) : 213 -217. doi: 10.3877/cma.j.issn.2095-123X.2024.04.004

临床研究

原发性脑干出血30天死亡的危险因素分析
柏明涛1, 黄宝辰1, 牛纪杰1, 张玉海1, 穆振欣1,()   
  1. 1.100039 山东日照,日照市人民医院神经外科
  • 收稿日期:2024-01-13 出版日期:2024-08-15
  • 通信作者: 穆振欣

Analysis of risk factors for 30-day mortality in primary brainstem hemorrhage

Mingtao Bai1, Baochen Huang1, Jijie Niu1, Yuhai Zhang1, Zhenxin Mu1,()   

  1. 1.Department of Neurosurgery, Rizhao People’s Hospital, Rizhao 100039, China
  • Received:2024-01-13 Published:2024-08-15
  • Corresponding author: Zhenxin Mu
引用本文:

柏明涛, 黄宝辰, 牛纪杰, 张玉海, 穆振欣. 原发性脑干出血30天死亡的危险因素分析[J]. 中华脑科疾病与康复杂志(电子版), 2024, 14(04): 213-217.

Mingtao Bai, Baochen Huang, Jijie Niu, Yuhai Zhang, Zhenxin Mu. Analysis of risk factors for 30-day mortality in primary brainstem hemorrhage[J]. Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition), 2024, 14(04): 213-217.

目的

分析原发性脑干出血(PBSH)患者30 d 死亡的相关危险因素。

方法

回顾性分析山东省日照市人民医院神经外科自2019年6月至2023年12月收治的101例PBSH患者的临床资料,包括患者性别、年龄、既往病史、血糖、体质量指数(BMI)、入院时GCS评分、血肿体积、手术治疗、CT 最大层面血肿横断位最长径、脑室出血等。根据患者院内和(或)出院30 d 期间死亡与否,将患者分为生存组和死亡组。采用Kaplan-Meier 法及Cox 回归法分析PBSH 患者30 d 死亡的危险因素。

结果

101 例患者中生存组66 例(65.4%),死亡组35 例(34.6%)。2 组患者中入院GCS 评分<8分、血肿总体积量≥5 mL、合并脑室出血、CT 最大血肿层面横断位最长径≥2.6 cm 占比比较,差异均有统计学意义(P<0.05)。多因素Cox 回归分析结果显示,CT 最大血肿层面横断位最长径≥2.6 cm(HR=3.37,95%CI:1.10~10.37,P=0.034)及入院GCS 评分<8 分(HR=20.18,95%CI:2.53~160.80,P=0.005)是影响PBSH 患者30 d 死亡的独立危险因素。

结论

入院时GCS 评分较低及CT最大血肿层面横断位最长径较长的PBSH患者的30 d死亡率显著增加,对预后评估起重要作用。

Objective

To analyze the risk factors associated with 30-day mortality in patients with primary brainstem hemorrhage (PBSH).

Methods

A retrospective analysis was performed on the clinical data of 101 patients with PBSH who were admitted to the Neurosurgery Department of Rizhao People’s Hospital from June 2019 to December 2023, including gender, age, medical history, blood glucose levels, body mass index (BMI), GCS score at admission, volume of blood clot, surgical interventions undertaken,maximum transverse diameter of the blood clot on CT imaging,and instances of intracranial hemorrhage.According to whether the patients died within hospitalization and 30-day after discharge, all patients were divided into survival group and death group.The risk factors associated with 30-day mortality were evaluated using Kaplan-Meier survival curves and Cox regression analysis.

Results

Among the 101 patients, 66 (65.4%) were in the survival group and 35 (34.6%) were in the death group.The proportion of patients with admission GCS score<8 scores, total hematoma volume≥5 mL, concomitant intraventricular hemorrhage, and the longest diameter of haematoma transected at the level of the largest CT dimension≥2.6 cm between the two groups showed statistically significant differences (P<0.05).Cox’s multifactorial regression analysis showed that the longest diameter of haematoma transected at the level of the largest CT dimension≥2.6 cm(HR=3.37,95%CI:1.10-10.37,P=0.034), and GCS score <8 scores (HR=20.18, 95%CI: 2.53-160.80, P=0.005) were independent risk factors affecting the 30-day mortality of patients with PBSH.

Conclusion

The 30-day mortality rate was significantly higher in PBSH patients with lower GCS scores at admission and a longer maximal transverse diameter at the largest hematoma level on CT.The critical role of these two indicators in prognostic evaluation should be emphasized in clinical practice.

表1 2组PBSH患者的临床资料比较
Tab.1 Comparison of clinical data between two groups of PBSH patients
表2 影响PBSH患者30 d天死亡的多因素Cox回归分析
Tab.2 Multifactorial Cox regression analysis of influencing 30-d mortality in PBSH patients
图1 不同临床特征PBSH患者术后Kaplan-Meier生存曲线的比较 A:不同血肿横断位最长直径PBSH患者(P<0.001);B:不同血肿体积PBSH患者(P=0.014);C:是否合并脑室出血PBSH患者(P=0.018);D:不同GCS评分PBSH患者(P<0.001);PBSH:原发性脑干出血
Fig.1 Comparison of Kaplan-Meier survival curves for postoperative patients with PBSH based on different clinical characteristics
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