Prospective Validation of DL Model for Postoperative MACCE Prediction

Prospective Validation of Deep Learning Model to Predict Postoperative Major Adverse Cardiac and Cerebrovascular Event

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.

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