- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07468123
Atrial Fibrillation Risk Estimation With Single-lead Handheld Electrocardiograms (AFRESHE)
The goal of this prospective, non-randomized pilot study is to learn whether predictions from a previously validated 12-lead ECG-based artificial intelligence (AI) algorithm (ECG-AI) identify people more likely to have undiagnosed atrial fibrillation (AF).
The main questions it aims to answer are:
Do people predicted to have high risk of AF using ECG-AI have a higher rate of new AF diagnosis using 1L ECG screening compared with people predicted to have a low risk? Do AI-based AF risk estimates from the 12-lead ECG correlate with AF risk estimates from the 1L ECG? Do people find 1L ECG screening for AF acceptable and useful?
Participants will:
Undergo screening with 1L ECG mailed to their home Complete a survey assessing attitudes toward 1L ECG screening Complete a 14-day patch monitor on 1 or 2 occasions depending on 1L ECG results
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This is a prospective, non-randomized pilot study designed to assess whether our 12-lead ECG algorithm can identify individuals with AF detectable using 1L ECG. We will also assess whether AF risk estimates from the 1L ECG correlate with those using the 12-lead ECG. We also plan to assess participant attitudes toward the use of 1L ECGs for AF risk estimation.
Using our AF risk algorithm on existing 12-lead ECGs, will categorize prospective participants into low AF risk (<1% 1-year AF risk) versus high AF risk (>10% 1-year AF risk). We will mail 1L ECG devices to participants and ask them to obtain 3 tracings which we will then use to estimate AF risk using a 1L ECG version of our AF risk algorithm. We will then screen perform patch monitor screening for AF and compare the rates of AF detection between the two groups.
This study involves use of two consumer digital devices. The AliveCor KardiaMobile 1L ECG device is an FDA cleared cardiac rhythm assessment device capable of producing a 1L ECG in conjunction with a compatible smartphone. The Zio®XT is an FDA cleared medical-grade 1L ECG rhythm monitor.
This pilot study has three main outcomes: 1) prospectively ascertained estimated AF risk using the handheld 1L ECG algorithm, 2) incident AF at 12 months, ascertained using the linked EHR and/or the results of the study patch monitors, and 3) perceived acceptability and usefulness of the handheld ECG. No physical study visits are required according to this protocol.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02114
- Mass General Brigham
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Men and women aged 50-90 who are new or established patients in an MGH primary care or ambulatory cardiology practice
- Willing to provide consent to participate in the study to access data from electronic health records (EHR)
- At least 1 12-lead ECG obtained within 5 years prior to study start date for AF risk estimation
- Have access to a smart phone or tablet to use with the AliveCor KardiaMobile 1L ECG device
Exclusion Criteria:
- History of atrial fibrillation or atrial flutter as documented in the patient's current electronic health record medical problem list or self-reported diagnosis
- Implanted cardiac devices (pacemakers, implantable cardiac defibrillators, or cardiac resynchronization therapy, and implantable loop recorders)
- History of allergy to adhesive
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: Low-risk
Low estimated risk for AF (<1% 1-year AF risk)
|
Individuals will undergo 1L ECG screening using the AliveCor KardiaMobile 1L ECG device
Individuals who are found to have evidence of AF on 1L ECG will undergo assessment with 14-day patch monitor at the time of initial screen.
Otherwise all study participants will undergo 14-day patch monitor at the 1-year timepoint.
|
|
Active Comparator: High-risk
Low estimated risk for AF (>10% 1-year AF risk)
|
Individuals will undergo 1L ECG screening using the AliveCor KardiaMobile 1L ECG device
Individuals who are found to have evidence of AF on 1L ECG will undergo assessment with 14-day patch monitor at the time of initial screen.
Otherwise all study participants will undergo 14-day patch monitor at the 1-year timepoint.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
New AF diagnosis (%)
Time Frame: 1 year
|
Rate of new AF diagnosis
|
1 year
|
|
Acceptability and usefulness
|
Survey-based acceptability and usefulness of 1L ECG screening process
|
|
|
AI-based AF risk correlation
|
Correlation between 12-lead ECG-based AF risk and 1L ECG-based AF risk using AI model
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Khurshid S, Friedman S, Reeder C, Di Achille P, Diamant N, Singh P, Harrington LX, Wang X, Al-Alusi MA, Sarma G, Foulkes AS, Ellinor PT, Anderson CD, Ho JE, Philippakis AA, Batra P, Lubitz SA. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Circulation. 2022 Jan 11;145(2):122-133. doi: 10.1161/CIRCULATIONAHA.121.057480. Epub 2021 Nov 8.
- Khurshid S, Friedman SF, Al-Alusi MA, Kany S, Sommers T, Anderson CD, Ho JE, McManus DD, Borowsky LH, Ashburner JM, Lubitz SA, Atlas SJ, Maddah M, Singer DE, Ellinor PT. Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial. NPJ Digit Med. 2025 Nov 26;8(1):776. doi: 10.1038/s41746-025-02164-2.
Study record dates
Study Major Dates
Study Start (Actual)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024P002767
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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