Artificial Intelligence-enhanced Electrocardiogram Diagnoses and Predicts Future
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 500,000
- 试验地点
- 2
- 主要终点
- Progression of valvular heart diseases
研究概览
简要总结
This is a retrospective study to establish models for the prediction of future valvular heart diseases with artificial intelligence-enhanced electrocardiogram (ECG).
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Subjects that received ECG and echocardiography tests during a date frame.
排除标准
- •Subjects who is younger than 18 years of age.
结局指标
主要结局
Progression of valvular heart diseases
时间窗: 15 years
There would be echo records of subjectes of the study during follow-up. So for subjects with baseline none or mild valvular heart diseases, including mitral regurgitation, aortic regurgitation, and tricuspid regurgitation, there might be some with progression to moderate or severe valvular heart diseases, and some other without this progression. The primary outcome of the study would be the progression of valvular heart diseases from none or mild to moderateor severe, as assessed by echocardiography.
次要结局
未报告次要终点
