A Retrospective Cohort Study of Multimodal Electrocardiography and Chest Radiography for Prediction of Progression to Moderate or Severe Regurgitant Valvular Heart Disease
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 116,380
- 试验地点
- 1
研究概览
简要总结
This retrospective multicenter cohort study aims to develop and validate an artificial intelligence model integrating electrocardiography (ECG) and chest radiography (CXR) to predict future progression of regurgitant valvular heart disease (rVHD), including aortic, mitral, and tricuspid regurgitation. Adult patients with ECG, CXR, and echocardiography obtained within 60 days, together with follow-up echocardiographic data, are included. The primary objective is to determine whether multimodal ECG+CXR modeling improves prediction of progression to moderate or severe regurgitation beyond ECG-only or CXR-only models. Secondary objectives include evaluation of clinical utility, risk stratification, and model interpretability. This study is intended to assess whether routinely acquired ECG and CXR can be used to support surveillance echocardiography and risk-directed management in patients at risk of future rVHD progression.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 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
- •Adult patients aged ≥18 years. Underwent routine electrocardiography (ECG), chest radiography (CXR), and echocardiography within 60 days.
- •Had subsequent follow-up echocardiographic data available for outcome ascertainment.
- •Patients were identified from routine clinical practice in inpatient admission or outpatient evaluation settings.
排除标准
- •Age below the adult threshold. Missing any of the required baseline examinations (ECG, CXR, or echocardiography within 60 days).
- •No follow-up echocardiographic data available. For future-risk evaluation in the test cohort, samples with moderate or severe regurgitation at baseline were excluded.