基于远程医疗数据的家庭结构化的步行训练和预测6分钟的步行测试距离在患有外周动脉疾病的患者的支持:前性队列研究
Fabian Wiesmüller1,2,3, Andreas Prenner4, Andreas Ziegl5
1Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Graz, Austria.
JMIR formative research
|April 10, 2025
概括
远程医疗有效地管理了外围动脉疾病,改善了步行距离和减少疼痛. 使用连续患者数据的预测建模增强了这种方法,以获得更好的患者结果和动机.
科学领域:
- 心血管医学 心血管医学
- 数字健康数字健康
- 康复科学 康复科学 康复科学
背景情况:
- 远程医疗在治疗中风和心力衰竭等心血管疾病方面表现出有效性.
- 在通过远程医疗来管理外围动脉疾病 (PAD) 患者方面观察到有希望的结果.
- 需要进一步的研究来了解基于远程健康的预测建模对PAD患者身体健康的影响.
研究的目的:
- 使用Keep Pace研究数据分析时间患者状况的发展.
- 在研究结束时开发总步行距离的预测模型.
- 确定可能从远程医疗计划中受益的患者,并提供激励性的进展估计.
主要方法:
- 分析持续的患者报告的远程医疗数据和临床数据.
- 在一个为期12周的基于远程医疗的行走计划中,让19名Fontaine II期PAD患者参与其中.
- 通过6分钟步行测试 (6MWT) 和疼痛水平来评估身体健康.
主要成果:
- 随着时间的推移,患者疼痛感显著下降 (P=.006).
- 尽管报告了疼痛,但对6MWT协议的高度遵守率 (85.53%) 很高.
- 在定时启动和启动测试时间显著改善 (P=.002).
- 准确预测研究结束时的基线步行距离 (RMSE 30m),通过添加远程医疗数据得到改善.
结论:
- 原型趋势估计具有远程医疗整合的潜力,提供量身定制的患者咨询.
- 连续的远程医疗数据为患者的福祉,疼痛和身体健康进展提供了更深入的见解.
- 通过远程医疗数据分析,可以更好地了解患者状态和实现目标的进展.
相关概念视频
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