基于Logistic回归分析构建脑出血患者发生脑疝的风险预测模型

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【中图分类号】 R743 【文献标志码】 A 【文章编号】 1672-7770(2025)05-0498-08

Developing a risk prediction model for cerebral herniation in patients with cerebral hemorrhage based on logistic regresson analysis MIAO Xiao， LIU Xiguang，WANG Shaomin, ZHOU Xuelian， MA Liang. ， , 222061， China

Corresponding author: MA Liang

Abstract：ObjectiveTo analyze risk factors for cerebral herniation inpatients with intracerebral hemorrhage and construct a corresponding risk prediction model. MethodsThe clinical data 425 patients with intracerebral hemorrhage admited to , from January 2023to December 2023 wereanlyzed retrospectively. The patients were randomly divided into a modeling group(298 cases）and a validation group(127 cases). The modeling group was furr subdivided into a cerebral herniation group(81 cases） and a non-cerebral herniation group(217 cases），while validation group was subdivided into a cerebral herniation group(28 cases）and a non-cerebral herniation group（99 cases）.Univariate and multivariate logistic regression analyses were used to identify risk factors for cerebral herniation after intracerebral hemorrhage.ResultsUnivariate and multivariate logistic regression analysis showed that cerebral edema，rebleeding，midline shift，and abnormal pupillary light reflex were independent risk factors for cerebral herniation in patientswith intracerebral hemorrhage( P

Key words:hemorrhagic stroke；cerebral herniation；model；validation

脑出血（intracerebralhemorrhage，ICH）是指原发性非外伤性脑实质内出血，又称自发性脑出血，是一种常见的脑血管疾病。（剩余18790字）