Prospective Validation of DL Model for Postoperative MACCE Prediction
- Conditions
- Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)
- Registration Number
- NCT07054502
- Lead Sponsor
- Seoul National University Hospital
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 7000
- Adults aged 18 or older undergoing non-cardiac surgery under general or regional anesthesia at Seoul National University Hospital
- 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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Major adverse cardiovascular and cerebrovascular events (MACCE) 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)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Seoul National University Hospital
🇰🇷Seoul, Korea, Republic of
Seoul National University Hospital🇰🇷Seoul, Korea, Republic ofHyun-Kyu YoonContact82-2-2072-2469hyunkyu18@gmail.com