患者带领的智能手表心电图随访策略 AF切除后:临床试验设计和实施
Nikhil Ahluwalia1, Hakam Abbass2, Ahmed Hussain2
1Electrophysiology Department, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom; William Harvey Research Institute, Queen Mary University of London, London, United Kingdom.
JACC. Advances
|January 28, 2026
概括
一个患者主导的智能手表心电图随访策略在心房 (AF) 移除后显示出高参与度和准确的节律分类. 这种方法提供了一个实用的模板,用于将可穿戴数据集成到AF护理途径中.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 医疗器械 医疗器械
背景情况:
- 传统的心房动 (AF) 治疗后的随访是医生主导的,可能会错过心房动症状.
- 智能手表心电图的患者使用正在增加,但临床整合尚未明确定义.
研究的目的:
- 在临床试验中详细介绍了患者主导智能手表心电图随访协议AF切除后的设计,实施,数据处理和用户参与.
主要方法:
- 一项随机对照试验将智能手表ECG协议 (Apple Watch) 与成年AF切除患者的标准随访进行了比较.
- 数据包括心电图记录,用户参与,症状注释和资源利用.
主要成果:
- 使用智能手表的参与者在12个月内平均记录了170个心电图,其中1.9%用于审查.
- 症状注释的心电图显著更有可能检测AF (OR 16.1).
- 腕表衍生的AF和鼻节律分类显示出高的正预测值 (0.96和0.95).
结论:
- 一个结构化的,患者领导的智能手表心电图工作流程是可行的,用于切除后的AF护理.
- 这个模型展示了高患者参与度,可管理的工作量和准确的节奏检测.
- 该框架支持将可穿戴数据整合到AF后续和数字健康试验中.
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