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Prospective Validation of DL Model for Postoperative MACCE Prediction

Not yet recruiting
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
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
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
NameTimeMethod

Trial Locations

Locations (1)

Seoul National University Hospital

🇰🇷

Seoul, Korea, Republic of

Seoul National University Hospital
🇰🇷Seoul, Korea, Republic of
Hyun-Kyu Yoon
Contact
82-2-2072-2469
hyunkyu18@gmail.com
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