Li Yaxiong, Zheng Shuo, Li Yan, Wang Zifeng, Niu Haiying, Xu Lifeng, Liu Jianfeng, Zhang Wenhua, Li Conghui
Department of Neurosurgery, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang City, Hebei Province, 050000, China.
Neurosurg Rev. 2025 Jan 14;48(1):42. doi: 10.1007/s10143-025-03220-x.
To investigate the clinical characteristics of patients with hydrocephalus after hypertensive cerebral haemorrhage (HICH) and to analyse the relevant factors affecting the prognosis. A total of 500 patients with HICH admitted to the neurosurgery department of The First Hospital of Hebei Medical University between January 2020 and July 2024 were retrospectively analysed. The clinical data of the patients were collected, the occurrence of hydrocephalus within 3 months after discharge was followed up, and the patients were divided into the occurrence group and the non-occurrence group. Logistic regression analysis was applied to identify risk factors for hydrocephalus, and receiver operating characteristic (ROC) curves were used to evaluate the predictive value of these factors. Among 500 patients, 45 (9%) developed hydrocephalus, with an average age of 59.93 ± 14.20 years in the occurrence group and 61.76 ± 12.28 years in the non-occurrence group. Logistics univariate analysis showed that the brain haemorrhage location, cerebral hernia, haematoma volume and the Glasgow Coma Scale (GCS) score were the influencing factors for hydrocephalus after HICH (P < 0.05). The results of logistics multivariate analysis showed that cerebral hernia (odds ratio [OR] = 3.102, 95% CI: 1.315-7.204) and the GCS score (OR = 1.732. 95% CI: 1.102-2.401) were risk factors for the development of hydrocephalus after HICH (P < 0.05). The ROC curve analysis showed an area under the curve of 0.639 for cerebral hernia, 0.713 for the GCS score and 0.794 for their combination in predicting hydrocephalus. Cerebral hernia and the GCS score are independent influencing factors of hydrocephalus after HICH, and the combination of the two can better predict the formation of hydrocephalus.
探讨高血压性脑出血(HICH)后脑积水患者的临床特征,并分析影响预后的相关因素。回顾性分析2020年1月至2024年7月在河北医科大学第一医院神经外科收治的500例HICH患者。收集患者的临床资料,随访出院后3个月内脑积水的发生情况,并将患者分为发生组和未发生组。应用Logistic回归分析确定脑积水的危险因素,并采用受试者工作特征(ROC)曲线评估这些因素的预测价值。500例患者中,45例(9%)发生脑积水,发生组平均年龄为59.93±14.20岁,未发生组为61.76±12.28岁。Logistic单因素分析显示,脑出血部位、脑疝、血肿体积和格拉斯哥昏迷量表(GCS)评分是HICH后脑积水的影响因素(P<0.05)。Logistic多因素分析结果显示,脑疝(比值比[OR]=3.102,95%可信区间:1.315-7.204)和GCS评分(OR=1.732,95%可信区间:1.102-2.401)是HICH后发生脑积水的危险因素(P<0.05)。ROC曲线分析显示,脑疝预测脑积水的曲线下面积为0.639,GCS评分为0.713,两者联合预测脑积水的曲线下面积为0.794。脑疝和GCS评分是HICH后脑积水的独立影响因素,两者联合能更好地预测脑积水的形成。