开发一种临床预测模型,用于COPD患者的跌倒情况
Khang Trong Nguyen1, Dina Brooks2,3, Luciana G Macedo2
1Rehabilitation Science, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada.
BMJ open respiratory research
|December 25, 2025
概括
预测慢性阻塞性肺病 (COPD) 患者未来的跌倒是非常重要的. 在COPD患者中,多次跌倒的病史,更多的慢性疾病和运动障碍预测了未来的跌倒.
科学领域:
- 老年学是一门学科.
- 肺部病理学 肺部病理学
- 临床预测建模临床预测建模
背景情况:
- 慢性阻塞性肺病 (COPD) 与跌倒的风险增加有关.
- 目前缺乏准确的预测方法来预测COPD患者的跌倒情况.
- 这项研究旨在开发和验证COPD患者中跌倒的临床预测模型.
研究的目的:
- 开发和内部验证一种临床预测模型,用于预测被诊断患有COPD的个人未来的跌倒.
- 确定COPD人口中跌倒的关键预测因素.
主要方法:
- 来自一项防摔试验的数据的二次分析,该试验涉及178名患有COPD的参与者.
- 多变量逻辑回归被用来开发预测模型.
- 内部验证采用引导重新抽样来评估模型歧视 (c-统计) 和校准 (E:O比率,CITL,校准斜率).
主要成果:
- 最终的模型确定了未来12个月跌倒的三个显著预测因素:病史≥2次跌倒,慢性病的数量增加以及在定时和Go双任务测试中的表现较差.
- 预测模型证明了可接受的歧视 (c-统计=0.69) 和校准.
- 74名 (42%) 参与者在12个月的随访期间经历了≥1次跌倒.
结论:
- 在认知需求下,多次跌倒,并发症和运动障碍的病史是COPD患者未来跌倒的重要预测因素.
- 开发的临床预测模型显示可接受的内部有效性.
- 建议进行外部验证,以确认这些发现的概括性.
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