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AI-ECG for Preoperative Cardiovascular Risk Stratification Before General Surgery

Utilization of AI-ECG for Preoperative Cardiovascular Risk Stratification in General Surgery: A Randomized Controlled Trial

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07774689
Enrollment
3200
Registered
2026-08-19
Start date
2026-09-01
Completion date
2029-05-31
Last updated
2026-08-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Perioperative Cardiovascular Risk, Postoperative Complications (Cardiopulmonary), Preoperative Care

Keywords

Artificial intelligence, Electrocardiography, Perioperative cardiovascular risk, Preoperative evaluation, Major adverse cardiovascular events

Brief summary

This randomized controlled trial evaluates whether an artificial intelligence-enhanced electrocardiography (AI-ECG)-based strategy for preoperative cardiovascular risk stratification is noninferior to usual care in patients undergoing elective general surgery. Eligible patients are randomly assigned to either an AI-ECG-guided preoperative assessment strategy or usual preoperative care. The primary outcome is the incidence of major adverse cardiovascular events (MACE) within 30 days after surgery, defined as a composite of all-cause death, ventricular fibrillation/tachycardia or cardiac arrest, non-fatal myocardial infarction, unplanned revascularization (PCI or CABG), mechanical ventilation for ≥3 days, and acute heart failure requiring intravenous diuretics. Secondary outcomes include the rate of preoperative cardiac imaging and functional testing (echocardiography, coronary CT, SPECT, stress test), the rate of preoperative cardiology consultation, length of hospital stay, direct medical costs, and the time required for preoperative evaluation. The study aims to determine whether AI-ECG can safely guide preoperative cardiovascular evaluation while reducing unnecessary testing, resource use, and cost.

Interventions

DIAGNOSTIC_TESTAI-ECG-based preoperative risk stratification (ECG Buddy)

A standard 12-lead ECG is analyzed by an AI-enhanced ECG algorithm (ECG Buddy) to stratify preoperative cardiovascular risk. Designated AI-ECG biomarkers are used as decision thresholds to guide subsequent preoperative cardiovascular evaluation and cardiology consultation.

Sponsors

Seoul National University Bundang Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Masking description

Open-label treatment assignment with blinded endpoint adjudication (PROBE design). Outcomes are adjudicated by an independent committee blinded to treatment allocation.

Eligibility

Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults aged 20 years or older * Patients scheduled for elective (non-emergent) general surgery * Willing and able to provide voluntary written informed consent

Exclusion criteria

* Emergency surgery * Surgery under local anesthesia

Design outcomes

Primary

MeasureTime frameDescription
Incidence of major adverse cardiovascular events (MACE) within 30 days after surgeryWithin 30 days after surgeryComposite of all-cause death, ventricular fibrillation/tachycardia or cardiac arrest, non-fatal myocardial infarction, unplanned revascularization (PCI or CABG), mechanical ventilation for ≥3 days, and acute heart failure requiring intravenous diuretics.

Secondary

MeasureTime frameDescription
Rate of preoperative cardiac imaging and functional testingFrom randomization to surgery, up to 24 weeksProportion of patients undergoing preoperative echocardiography, coronary CT, SPECT, or stress testing.
Rate of preoperative cardiology consultationFrom randomization to surgery, up to 24 weeks
Length of hospital stayThrough hospital discharge (up to 30 days)
Direct medical costsWithin 30 days after surgery
Time required for preoperative evaluationFrom randomization to surgery, up to 24 weeks

Countries

South Korea

Contacts

CONTACTJi Hyun Lee, MD
jihyunlee310@snubh.org82-31-787-7045
PRINCIPAL_INVESTIGATORJi Hyun Lee, MD

Seul National University Bundang Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 20, 2026