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
This trial does not accept healthy volunteersQualifiers
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 population
Non-cardiac surgical patients
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
7,000 Participants
are grouped into 1 trial groupGroup A: Non-cardiac surgical patients
Trial outcomes
Primary outcomes
1
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 surgerySponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: