Prospective Validation of DL Model for Postoperative MACCE Prediction

N/ANot Yet RecruitingNCT07054502

Seoul National University Hospital7,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

7,000

Conditions

Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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

Locations (1)

Seoul National University Hospital

Seoul, South Korea

Outcomes

Primary Outcomes

Major adverse cardiovascular and cerebrovascular events (MACCE)

Occurrence of MACCE within 30 days after surgery (composite outcome including myocardial infarction, stroke, coronary revascularization, heart failure, and death)

Time frame: within 30 days after surgery

Central Contacts

Hyun-Kyu Yoon, MD

CONTACT

82-2-2072-1146 hyunkyu18@gmail.com

Data from ClinicalTrials.gov

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