Analysis of ECGio to Predict Coronary Stenosis Against a Mixed Reference Standard
Part of paid clinical trials in Washington D.C., District of Columbia.
- Sponsor
- Heart Input Output Inc
- Study ID
- NCT07375810
- Status
- Not Yet Recruiting
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Conditions
- Coronary Artery Disease (CAD)
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - 89 Years
- Healthy Volunteers
- Not accepted
Interventions
- AI-ECG Analysis — DEVICEThe AI-Analysis done on the ECGs in a retrospective fashion
Study Details
The study objective is to evaluate the effectiveness of the ECGio algorithm in predicting clinically significant coronary artery disease . ECGio's diagnostic performance during the trial will be compared against an objective performance ¬criteria using a mixed reference standard of quantitative coronary angiography and quantitative coronary computed tomography angiography in patients a general adult population under suspicion of coronary artery disease.
Key Dates
- Start date
- Apr 1, 2026
- Status verified
- Mar 2026
- Primary completion
- Jul 1, 2026
- Completion
- Sep 1, 2026
Study Design
- Enrollment
- 978 participants (estimated)
Arms
- Arm: CT AngiogramThis is the Cohort which received only Computed Tomography Angiography as a part of the study
- Arm: Invasive AngiographyThis is the Cohort which received both Computed Tomography Angiography and Invasive Angiography as a part of the study
- Arm: Enrollment Period 2This Cohort is the continuation of enrollment of invasive angiogram patients beyond the completion of the primary endpoint
Primary Outcome Measure
Sensitivity & Specificity [ Time Frame: Within 30 days of enrollment ]
Central Contacts
- Michael Leasure6104517343
Locations (2)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Medstar Washington Hospital Center | Washington D.C. | District of Columbia | 20010 | |
| Cena Research Institute | Houston | Texas | 77055 | Asif Ali, MD (PRINCIPAL_INVESTIGATOR) |
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