Observational Study of ECGio for Coronary Artery Disease
This observational study is looking at how well an artificial intelligence (AI) tool called ECGio can predict if someone has significant coronary artery disease (CAD), which is a narrowing of the heart's arteries. Researchers will analyze existing electrocardiograms (ECGs) using the ECGio tool. They will compare ECGio's predictions against results from other heart imaging tests, like coronary angiography and CT angiography. The study aims to enroll 978 adults, aged 18 to 89, who are suspected of having CAD. The main goal is to see how accurate ECGio is at identifying CAD within 30 days of when the ECG was recorded. The current status of this study is unclear.
- Study design
- This is an observational study, meaning researchers will analyze existing data. It aims to include 978 participants.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoints (Sensitivity & Specificity) are measured within 30 days of enrollment.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Analysis of ECGio to Predict Coronary Stenosis Against a Mixed Reference Standard
At a glance
Conditions
Where it's being run
2 sites across 2 statesStudy leadership
- Gary S Mintz · PRINCIPAL_INVESTIGATOR · CardioVascular Research Foundation
Who to contact
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What this trial measures
- Sensitivity & SpecificityWithin 30 days of enrollment
The lower 95% bound of ECGio's sensitivity and specificity in patients who underwent invasive angiography or computed tomography angiography (Co-primary endpoints)