国际神经病学神经外科学杂志2026，Vol.53Issue(1)：52-58,7.DOI:10.16636/j.cnki.jinn.1673-2642.2026.01.008
垂体瘤发生卒中的影响因素及预测模型构建
Influencing factors for pituitary apoplexy in patients with pituitary tumor and establishment of a predictive model
摘要
Abstract
Objective To investigate the influencing factors for pituitary apoplexy in patients with pituitary tumor,and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 350 patients with pituitary tumor who were admitted to Department of Neurosurgery,The First Affiliated Hospital of Harbin Medical University,from April 2021 to October 2022.According to the presence or absence of pituitary apoplexy,the patients were divided into stroke group with 185 patients and non-stroke group with 165 patients,and a predictive model was established.A total of 226 patients with pituitary tumor who were admitted from November 2022 to July 2023 were enrolled as an external temporal validation set to assess the predictive performance of the model.Results There were significant differences between the two groups in the proportion of patients with visual deterioration,visual field defect,vomiting,and oculomotor nerve palsy(P<0.05).The multivariate logistic regression analysis showed that female sex(OR=2.062,95%CI:1.322-3.216)and macroadenoma(OR=13.44,95%CI:2.658-67.986)were influencing factors for pituitary apoplexy in patients with pituitary tumor.The area under the receiver operating characteristic curve was 0.650 for internal validation of the modeling cohort and 0.713 for the external temporal validation cohort.Conclusions Female sex and macroadenoma are influencing factors for pituitary apoplexy in patients with pituitary tumor,and the nomogram model established based on the influencing factors has a certain efficacy in predicting the risk of pituitary apoplexy.关键词
垂体瘤/脑肿瘤/垂体瘤卒中/影响因素/预测模型/视力减退Key words
pituitary tumor/brain tumor/pituitary apoplexy/influencing factor/predictive model/visual deterioration分类
医药卫生引用本文复制引用
王宏飞,吕勃霖,谭明明,王妍,史怀璋,王宁,孟祥喜..垂体瘤发生卒中的影响因素及预测模型构建[J].国际神经病学神经外科学杂志,2026,53(1):52-58,7.基金项目
黑龙江省青年科学基金项目(QC2011C127) （QC2011C127）
黑龙江省博士后资助项目(LBH—Z12153) （LBH—Z12153）
中国博士后科学基金资助项目(2013M541408) （2013M541408）
吴阶平医学基金会临床科研专项资助基金项目(320.6750.19089-27). （320.6750.19089-27）
