- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07405866
A Prospective Analysis To Assess The Potential Use Of ECGio In Clinical Practice (PAPP)
The goal of this observational study is to learn if an ai-assistive algorithm would be useful in patients who are under suspicion of coronary disease. The main question it aims to answer:
What proportion of patients would clinicians see fit to order an ai-assistive algorithm if available for clinical use?
Participants will be asked to use clinical judgement as to whether a patient fits a predetermined criteria for use and select them for ai-assistive analysis.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
An anonymous and de-identified database to be created over the next 9 months at the Cardiology Consultants of Philadelphia. Clinicians will be given the opportunity to select patients who would be appropriate for the analysis, then the study database will be able to be collected retrospectively after the fact. The second database will be a survey response database collected anonymously and de-identified of a simple random sample of clinicians (see 6.2) who "ordered" ECGio. The EMR will be scraped by CCP after the fact to identify which patients (whether ECGio was "ordered" or not) would be appropriate for ECGio usage based on the criteria defined in section 3.1.
Digital (or PDF), anonymous, and de-identified ECG tracings for the cohort will be collected from the MUSE system. We will be provided an example of the ECG tracing as an XML export (or other format acceptable to the study sponsor), lasting 10 seconds with 500 Hz sampling. Within the digital tracing a total of 5000 data points exist for each of 12 standard leads (aVL, I, -aVR, II, aVF, III, V1, V2, V3, V4, V5, and V6).
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Michael Leasure
- Phone Number: 6104517343
- Email: Michael.Leasure@heartio.ai
Study Locations
-
-
Pennsylvania
-
Bensalem, Pennsylvania, United States, 19020
- Cardiology Consultants of Philadelphia - Rothman Orthopedics
-
Contact:
- Lisa Polli
- Phone Number: 6102273627
- Email: lisap@ccpdocs.com
-
Philadelphia, Pennsylvania, United States, 19148
- Cardiology Consultants of Philadelphia
-
Contact:
- Lisa Polli
- Phone Number: 6102273627
- Email: lisap@ccpdocs.com
-
Philadelphia, Pennsylvania, United States, 19107
- Cardiology Consultants of Philadelphia - Chestnus St
-
Contact:
- Lisa Polli
- Phone Number: 6102273627
- Email: lisap@ccpdocs.com
-
Springfield, Pennsylvania, United States, 19064
- Cardiology Consultants of Philadelphia - Sproul
-
Contact:
- Lisa Polli
- Phone Number: 6102273627
- Email: lisap@ccpdocs.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥ 18 years.
- Patients with medical records stored in a digitized format.
- Presenting between February 1 2026 and October 31 2026.
Patient meets one of the following criteria:
- Hypertension
- Hyperlipidemia
- Family History of Disease
- Diabetes Mellitus
- High BMI (>30)
- Smoker (Former or Current)
- Presenting for pre-operative clearance
Exclusion Criteria:
- Patients with acute coronary syndrome (ACS).
- Patient with prior Coronary Artery Bypass Grafting (CABG)
- Patients whose ECG tracing has extreme noise or artifact to the extent that it would be recommended to redo the tracing.
- Age ≥ 90 years.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
AI-Assistive Algorithm Usage
This group is the patients who were selected as appropriate for use of the AI-Assistive algorithm.
|
ECGio is the first coronary stenosis detection software utilizing data from just a 10-second electrocardiogram (ECG).
ECGs are inexpensive, non-invasive, commonly administered tests, and measure the electrical activity of the heart in "waves".
The ECGio diagnostic algorithm is an ECG analytic tool which provides the clinician with information to detect the presence, severity, and location of clinically significant coronary artery disease.
This diagnostic algorithm is currently not FDA approved, but once FDA approval is received, the labeling will address the following indication and use.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Usage Proportion
Time Frame: During or within 1 day, on average, of the patient visit
|
The proportion of patients in which it was deemed appropriate to use the AI-Assistive Algorithm
|
During or within 1 day, on average, of the patient visit
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Veronica Covalesky, MD, Cardiology Consultants of Philadelphia
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- HIO0007A
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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