Prospective Validation of DL Model for Postoperative MACCE Prediction

Seoul National University

Status: Not yet enrolling

Conditions: Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)

Study type: Observational

Funder types: Other

Identifiers

NCT07054502

2503-210-1630

Details and patient eligibility

About

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.

Enrollment: 7,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Adults aged 18 or older undergoing non-cardiac surgery under general or regional anesthesia at Seoul National University Hospital

Exclusion criteria

• 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

Trial design

7,000 participants in 1 patient group

Non-cardiac surgical patients

Description:

Patient undergoing non-cardiac surgery under regional or general anesthesia