用人工智能驱动的临床预测模型增强的个性化eCoach解决方案优化初级保健中的心血管风险管理:来自冠状动脉疾病风险估计和早期检测联盟的协议
Rutger van Mierlo1,2,3, Bart Scheenstra4, Joost Verbeek5
1Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
JMIR research protocols
|August 8, 2025
概括
这项研究引入了心血管风险管理 (CVRM) eCoach,以帮助健康人预防动脉样硬化心血管疾病. 电子教练使用人工智能预测风险并指导生活方式变化,旨在适度降低风险.
科学领域:
- 心血管健康 心血管健康
- 预防医学 预防医学
- 数字健康干预措施 数字健康干预措施
背景情况:
- 动脉样性心血管疾病 (ASCVD) 是一个重大的公共卫生挑战.
- 临床预测模型可以识别有风险的个体进行有针对性的预防.
- 卡里尔项目开发了一个个性化的心血管风险管理 (CVRM) 电子教练,以预防ASCVD.
研究的目的:
- 为了评估CVRM eCoach方法的有效性.
- 评估ASCVD和贡献因素的10年风险计算.
- 了解eCoach如何支持知情决策和行为改变.
主要方法:
- 一项前试验后试验干预研究,涉及100名看似健康的个体.
- 一个6个月的干预使用多组件的eHealth CVRM eCoach.
- 电子教练计算10年ASCVD风险,包括假设的干预影响,并设定目标,决策支持和远程监控.
- 使用对对样本分析分析的数据.
主要成果:
- 目前正在招募参与者,目标是到2025年招募100名参与者.
- 数据收集和分析正在进行中.
结论:
- 预计CVRM电子教练对于ASCVD的初级预防非常有价值.
- 教育,定期监测和明确的风险沟通预计将支持持续的行为改变.
- 假设10年ASCVD风险的轻微到中度降低,导致长期健康改善.
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