Prospective Validation of DL Model for Postoperative MACCE Prediction

NCT07054502 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 7000

Last updated 2025-07-08

No results posted yet for this study

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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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07054502 on ClinicalTrials.gov