Prospective Validation of DL Model for Postoperative MACCE Prediction
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorSeoul National University Hospital
About this trial
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.
Eligibility criteria
Qualifiers
Adults aged 18 or older undergoing non-cardiac surgery under general or regional anesthesia at Seoul National University Hospital
Disqualifiers
Reoperation within 30 days after initial surgery
Organ procurement or pregnancy-related procedures
Ambulatory-based surgery
Preoperative tracheal intubation before entering the operating room
Trial design
Treatments tested in this trial
- Not listed
Trial groups
7,000 Participants
are grouped into 1 trial groupSponsors and collaborators
Source ClinicalTrials.gov