在冠状动脉疾病患者的运动认知风险综合征的基于名录的预测模型:一个横截面研究
Yiyi Chai1,2, Qingfang Ye3, Xiaomin Wu1
1Harbin Medical University, Harbin, China.
Aging clinical and experimental research
|July 23, 2025
概括
这项研究确定了冠状动脉疾病 (CAD) 患者运动认知风险综合征 (MCR) 的关键风险因素. 开发了一种视觉名录模型,以帮助临床医生预测早期干预的MCR风险.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 老年病的医生 老年病的医生
背景情况:
- 冠状动脉疾病 (CAD) 与痴呆症有关.
- 运动认知风险综合征 (MCR) 预测痴呆.
- 在MCR和CAD之间可能存在共享机制,需要在CAD患者中识别MCR以预防痴呆症.
研究的目的:
- 调查MCR在CAD患者中的发生率.
- 在这个人群中确定MCR的风险因素.
- 在CAD患者中开发MCR视觉风险预测模型.
主要方法:
- 与413名CAD患者进行的横截面研究 (2023年9月至12月).
- 患者分为培训 (80%) 和验证 (20%) 队列.
- 用于变量选择和模型开发的最小绝对缩小和选择操作员 (LASSO) 回归和后勤回归.
- 接收器操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA) 评估了模型性能.
主要成果:
- 在研究人群中,MCR患病率为13.8%.
- 确定了四种风险预测因素:多药性,手握强度,根西尼分数和中性粒细胞计数.
- 诺米图表表现出良好的预测性能,ROC曲线为0.781 (训练) 和0.780 (验证).
- 模型校准和临床实用性通过Hosmer-Lemeshow测试和DCA证实.
结论:
- 开发了一个名图表来识别中年和老年CAD患者的高风险MCR组.
- 该工具帮助临床医生制定早期干预策略,预防痴呆症.
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