A Study of Artificial Intelligence ECG With ECG Devices to Detect Hypertrophic Cardiomyopathy Distinct From Athlete's
Prospective Evaluation of Artificial Intelligence ECG With Consumer-Facing ECG Devices for Detection of Hypertrophic Cardiomyopathy and Distinction From Athlete's
1 other identifier
observational
183
1 country
1
Brief Summary
The purpose of this study is to evaluate the AI-ECG algorithm for HCM in detecting HCM and in differentiating it from athlete's using not only the standard 12-lead ECG, but also ECGs obtained with the Apple Watch and Alivecor KardiaMobile devices.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2024
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 26, 2024
CompletedFirst Posted
Study publicly available on registry
March 4, 2024
CompletedStudy Start
First participant enrolled
May 7, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 25, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
ExpectedMarch 19, 2026
March 1, 2026
1.1 years
February 26, 2024
March 17, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Distribution of AI-ECG probabilities in HCM
Artificial Intelligence (AI) scores will be measured using the AI Algorithm on ECG tracings obtained from clinically indicated 12-Lead ECG, Apple Smart Watch (single-lead), and AliveCor KardiaMobile (6-Lead) in subjects with HCM. The AI scores will be utilized to generate the AI-ECG probability of accurately diagnosing HCM (labelled as true positive, true negative, false positive, false negative) and the distribution of AI-ECG probabilities will be evaluated. A higher distribution of AI-ECG probabilities (more true positives) will reflect better diagnostic performance of the AI-ECG Algorithm.
Baseline
Comparative diagnostic performance between tracings obtained from different devices
Artificial Intelligence (AI) scores will be measured using the AI Algorithm on ECG tracings obtained from clinically indicated 12-Lead ECG, Apple Smart Watch (single-lead), and AliveCor KardiaMobile (6-Lead). Diagnostic performance of AI Algorithm (labelled as true positive, true negative, false positive, false negative) based on tracing from each ECG form factor (12-lead, single-lead, 6-lead) will be evaluated and compared.
Baseline
Secondary Outcomes (2)
Distribution of AI-ECG probabilities in Athlete's
Baseline
Correlation with false negative AI ECG result
Baseline
Study Arms (2)
Hypertrophic Cardiomyopathy (HCM)
Subjects with clinically validated diagnoses of HCM will be enrolled and have a clinically indicated 12-Lead ECG obtained as well as ECG tracings collected using an Apple Smart Watch (single-lead) and AliveCor KardiaMobile (6-Lead).
Athlete's
Athlete's will be enrolled and have a clinically indicated 12-Lead ECG obtained as well as ECG tracings collected using an Apple Smart Watch (single-lead) and AliveCor KardiaMobile (6-Lead).
Interventions
A clinically performed 12-lead ECG tracing within 30 days of the appointment will be obtained from the subject medical record and will be used for AI-ECG analyses.
A single lead ECG tracing will be collected using an Apple Smart Watch and tracing will be used for AI-ECG analyses.
A 6-lead ECG tracing will be collected using an AliveCor KardiaMobile device and tracing will be used for AI-ECG analyses.
Eligibility Criteria
Outpatients scheduled for appointments in the sports cardiology or HCM clinic at Mayo Clinic in Rochester, MN will be approached to participate in the study.
You may qualify if:
- Patients with clinically validated diagnoses of HCM (n=150) and athlete's (n=150) will be identified by pre-screening of the clinic appointments for each of the specialty HCM and Sports Cardiology clinics or in the CV fellows' clinic (in patients with an established diagnosis and no pending testing). All diagnoses will need to be supported by unequivocal imaging and other ancillary data per our standard of care and at the determination of clinic experts.
You may not qualify if:
- Any exception to the above criteria.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Mayo Cliniclead
Study Sites (1)
Mayo Clinic in Rochester
Rochester, Minnesota, 55905, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Konstantinos Siontis, MD
Mayo Clinic
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
February 26, 2024
First Posted
March 4, 2024
Study Start
May 7, 2024
Primary Completion
June 25, 2025
Study Completion (Estimated)
December 1, 2026
Last Updated
March 19, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share