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与患有帕金森病和认知障碍的老年患者的睡眠障碍相关的因素以及名ogram模型的发展
Yimei Zhang1, Liyan Sun1, Haitao Chi1
1Department of Sleep Monitoring Room, Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning Province, China.
Frontiers in aging neuroscience
|January 21, 2026
概括
老年帕金森病患者的睡眠障碍和认知障碍与霍恩-雅尔分期,利沃多巴剂量,焦虑,抑郁和疼痛有关. 一个预测模型有助于早期查和干预开发.
科学领域:
- 神经学 神经学
- 老年病的医生 老年病的医生
- 睡眠医学 睡眠医学
背景情况:
- 睡眠障碍是患有帕金森病 (PD) 和认知障碍的老年人经常出现的并发症.
- 识别与这些睡眠障碍相关的因素对于有效管理至关重要.
研究的目的:
- 为了调查与睡眠障碍相关的因素,在老年PD患者认知障碍.
- 开发一个预测模型,对这一群体的睡眠障碍.
- 为放松训练干预提出一个框架.
主要方法:
- 对108名患有PD和认知障碍的老年患者进行了回顾性队列研究.
- 使用逻辑回归来比较患有睡眠障碍和没有睡眠障碍的患者.
- 开发和验证一个风险预测名ogram模型.
主要成果:
- 霍恩-雅尔分期,莱沃多巴相当剂量,汉密尔顿焦虑量表 (HAMA),汉密尔顿抑郁量表 (HAMD) 和慢性疼痛是显著的危险因素 (p < 0.05).
- 诺莫格拉姆模型表现出高预测精度 (AUC = 0.963) 和良好的校准.
- 该模型在预测睡眠障碍方面显示出临床实用性.
结论:
- 霍恩-雅尔分期,莱沃多巴剂量,焦虑,抑郁和疼痛是这一群体睡眠障碍的关键因素.
- 开发的诺莫格拉姆模型可以帮助早期查和风险分层.
- 这些发现为针对性放松训练干预提供了基础,以减轻睡眠障碍.
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