NCT04000087已完成不适用
Electrocardiogram Artificial Intelligence-Guided Screening for Low Ejection Fraction (EAGLE)
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- Mayo Clinic
- 入组人数
- 358
- 试验地点
- 2
- 主要终点
- New Diagnosis of Low Ejection Fraction (defined as ejection fraction ≤50%)
研究概览
简要总结
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Screening
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Primary care clinicians who are part of a participating care team that care for adult patients and have the ability to order ECG and TTE (this includes physicians, nurse practitioners, and physician assistants).
排除标准
- •Primary care clinicians working in pediatrics, acute care, nursing homes, and resident care teams.
结局指标
主要结局
New Diagnosis of Low Ejection Fraction (defined as ejection fraction ≤50%)
时间窗: Within 90 days
Ejection fraction obtained by echocardiography.
次要结局
未报告次要终点
研究者
研究点 (2)
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