立体定向和功能性神经外科杂志 ›› 2026, Vol. 39 ›› Issue (3): 145-151.DOI: 10.19854/j.cnki.1008-2425.2026.03.0003

• 论著 • 上一篇    下一篇

老年脑卒中患者发生运动认知风险综合征的影响因素分析

陈园园, 董书宇, 徐海清, 周生奎, 孙嫄   

  1. 122100 徐州 东南大学附属徐州市中心医院神经内科
  • 收稿日期:2025-12-21 发布日期:2026-10-16
  • 通讯作者: 董书宇 dongsyxz@163.com

Analysis of influencing factors of the occurrence of motoric cognitive risk syndrome in elderly stroke patients

Chen Yuanyuan, Dong Shuyu, Xu Haiqing, Zhou Shengkui, Sun Yuan   

  1. Department of Neurology,Xuzhou Central Hospital,Southeast University,122100,Xuzhou,China
  • Received:2025-12-21 Published:2026-10-16
  • Contact: Dong Shuyu dongsyxz@163.com

摘要: 目的 分析老年脑卒中患者发生运动认知风险综合征(MCR)的影响因素。方法 选取2021年6月~2024年5月110例伴随MCR的老年脑卒中患者,同期选择45例不伴随MCR的老年脑卒中患者作为本次研究对象。收集所有患者基线资料,Logistic多因素分析老年脑卒中患者发生MCR的危险因素,并采用ROC曲线分析预测价值。结果 经比对,两组患者年龄、体质指数、共病数量、久坐行为、多重用药、体育锻炼时间、睡眠质量、营养状态及衰弱水平存在差异(P<0.05);Logistic分析得出,年龄(OR=2.048,95% CI:1.118~3.750)、多重用药(OR=7.241,95% CI:3.506~14.958)、体育锻炼时间(OR=0.994,95% CI:0.988~0.999)、睡眠质量(OR=3.909,95% CI:1.263~12.102)、营养状态(OR=0.020,95% CI:0.001~0.464)、衰弱(OR=15.381,95% CI:7.580~31.200)是老年脑卒中患者发生MCR的影响因素(P均<0.05);利用ROC曲线评估发现,六者联合预测的AUC为0.891,敏感度、特异度为89.1%、87.7%,Hosmer-Lemeshow结果:χ2=6.877,P=0.526,模型效能较高。结论 高龄、存在多重用药、体育锻炼时间过短、睡眠质量以及营养状态不佳与衰弱可作为预测老年脑卒中患者发生MCR的指标。

关键词: 脑卒中, 运动认知风险综合征, 老年, 因素分析

Abstract: Objective To analyze the influencing factors of motoric cognitive risk syndrome (MCR) in elderly stroke patients. Methods A total of 110 elderly stroke patients with MCR were selected from June 2021 to May 2024,and 45 elderly stroke patients without MCR were selected as the objects of this study.Baseline data of all patients were collected,the risk factors of MCR in elderly stroke patients were analyzed by Logistic multivariate analysis,and the predictive value was analyzed by ROC curve. Results After comparison,there were differences in age,body mass index,number of comorbidity,sedentary behavior,multiple drug use,time of physical exercise,sleep quality,nutritional status and frailty level between the two groups (P<0.05);Logistic analysis showed that age (OR=2.048,95% CI:1.118~3.750),polypharmacy (OR=7.241,95% CI:3.506~14.958),physical exercise duration (OR=0.994,95% CI:0.988~0.999),sleep quality (OR=3.909,95% CI:1.263-12.102),nutritional status (OR=0.020,95% CI:0.001~0.464),frailty (OR=15.381,95% CI:7.580~31.200) were the influencing factors of MCR in elderly stroke patients (P<0.05);The ROC curve evaluation showed that the AUC predicted by the six parties was 0.891,the sensitivity and specificity were 89.1% and 87.7%,and the Hosmer-Lemeshow result was χ2=6.877,P=0.526,indicating high efficiency of the model. Conclusion Old age,multiple drug use,short time of physical exercise,sleep quality and poor and weak nutritional status can be used as indicators to predict the occurrence of MCR in elderly stroke patients.

Key words: Stroke, Motoric cognitive risk syndrome, Agedness, Factor analysis

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