在冠状动脉疾病患者中基于跑步机的亚最大VO2估计:来自健康个体的模型是否有效?
Levent Karataş1, Esra Sena Orbak Yenidünya1, Nesrin Demirsoy1
1Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Gazi University, Ankara, Turkiye.
Turkish journal of medical sciences
|September 11, 2025
概括
一个新的模型使用跑步机数据准确地估计了冠状动脉疾病 (CAD) 患者的亚最大氧气摄入量 (VO2). 结合高峰VO2可以改善预测,帮助个性化心脏康复运动处方.
科学领域:
- 心脏病学 心脏病学
- 运动生理学 运动生理学
- 生物统计学 生物统计学
背景情况:
- 现有的基于跑步机的VO2预测模型在冠状动脉疾病 (CAD) 患者中往往缺乏准确性,因为它们来自健康人群.
- 亚最大VO2估计对于心脏康复中运动处方至关重要.
- 健康个体和CAD患者之间的生理差异需要定制的预测模型.
研究的目的:
- 利用健康个体的数据开发和验证一个亚最大VO2预测模型.
- 测试该模型在CAD患者中的通用性.
- 为了提高对个性化运动处方的亚最大VO2估计的准确性.
主要方法:
- 用修改的布鲁斯协议对101名参与者的回顾性分析 (54名健康者,47名CAD) 使用修改的布鲁斯协议.
- 每个运动阶段的最后一分钟的利用平均VO2值.
- 采用线性混合效应模型,结合速度,等级,峰值VO2,体重和BMI,根据已确定的方程进行验证.
主要成果:
- 开发的模型,包括速度,等级和峰值VO2,实现了0.83.3的R2.
- 在CAD患者中,该模型显示最小偏差 (-0.05±1.8毫升/公斤/分钟) 和高精度 (CCC = 0.923).
- 该模型表现优于现有方程,显示出优异的预测性能.
结论:
- 从健康人群中获得的,并在CAD患者中验证的亚最大VO2估计模型显示出高准确性.
- 纳入高峰VO2有效地解释了生理差异,支持心脏康复中的个性化运动处方.
- 建议在更大的潜在队列中进行进一步验证,以确认外部有效性.
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