NCT07054502尚未招募不适用
Prospective Validation of Deep Learning Model to Predict Postoperative Major Adverse Cardiac and Cerebrovascular Event
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 7,000
- 试验地点
- 1
- 主要终点
- Major adverse cardiovascular and cerebrovascular events (MACCE)
研究概览
简要总结
This study aims to prospectively validate a deep learning model developed using retrospective data to predict major adverse cardiac and cerebrovascular events (MACCE) occurring within 30 days after non-cardiac surgery. The validation will be performed using prospectively collected data from patients undergoing non-cardiac surgery under general or regional anesthesia.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
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
- •Adults aged 18 or older undergoing non-cardiac surgery under general or regional anesthesia at Seoul National University Hospital
排除标准
- •Reoperation within 30 days after initial surgery
- •Organ procurement or pregnancy-related procedures
- •Ambulatory-based surgery
- •Preoperative tracheal intubation before entering the operating room
- •Surgeries performed outside the operating room
结局指标
主要结局
Major adverse cardiovascular and cerebrovascular events (MACCE)
时间窗: within 30 days after surgery
Occurrence of MACCE within 30 days after surgery (composite outcome including myocardial infarction, stroke, coronary revascularization, heart failure, and death)
次要结局
未报告次要终点
研究者
Hyun-Kyu Yoon
Clinical Associate Professor
Seoul National University Hospital
研究点 (1)
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