Prospective Validation of DL Model for Postoperative MACCE Prediction
NCT07054502 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 7000
Last updated 2025-07-08
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.
Conditions
- Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-07-10
- Primary Completion
- 2025-11-30
- Completion
- 2025-12-31
Countries
- South Korea
Study Locations
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