Atrial Fibrillation Clinical Trial
— GeneAFOfficial title:
Genetic Risk-Based Atrial Fibrillation Screening
Verified date | August 2022 |
Source | Montreal Heart Institute |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
AF is the most common sustained arrhythmia in adults and its prevalence increases with advancing age. In this study, we aim to determine whether the published genome-wide polygenic scores for atrial fibrillation (GPSAF) can facilitate AF screening by accurately discriminating between patients with low and high risk for AF. All included patients are participating in the MHI biobank, an ongoing funded institutional DNA bank and clinical registry approved by the research ethics board where included patients consent for future genetic research. The study will compare AF detection rate using a 3 months near continuous monitoring in individuals with a high GPSAF with matched individuals from the bottom GPSAF.
Status | Enrolling by invitation |
Enrollment | 726 |
Est. completion date | January 10, 2026 |
Est. primary completion date | January 10, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Having a CHADS65 score>1, which requires either: Age >= 65 and/or A prior Stroke or TIA and/or Hypertension and/or A history of heart failure and/or Diabetes Exclusion Criteria: 1. Already on oral anticoagulation 2. Any prior history of AF or atrial flutter (AFl) 3. Patients currently having an implantable device (pacemaker, defibrillator or loop recorder) that allows detection of AF/AFl 4. Refusing testing with the "Apple Watch" |
Country | Name | City | State |
---|---|---|---|
Canada | Montreal Heart Institute | Montréal | Quebec |
Lead Sponsor | Collaborator |
---|---|
Montreal Heart Institute |
Canada,
Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018 Sep;50(9):1219-1224. doi: 10.1038/s41588-018-0183-z. Epub 2018 Aug 13. — View Citation
Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP; Apple Heart Study Investigators. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909-1917. doi: 10.1056/NEJMoa1901183. — View Citation
Wünnemann F, Sin Lo K, Langford-Avelar A, Busseuil D, Dubé MP, Tardif JC, Lettre G. Validation of Genome-Wide Polygenic Risk Scores for Coronary Artery Disease in French Canadians. Circ Genom Precis Med. 2019 Jun;12(6):e002481. doi: 10.1161/CIRCGEN.119.002481. Epub 2019 Jun 11. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Detection of atrial fibrillation/atrial flutter (Y/N) | Atrial Fibrillation will be diagnosed according to the standard definition: "at least one 30-second recording with irregular rhythm without p waves". This will be accomplished either through the baseline ECG, Holter or during the 3 months monitoring with the Apple watch.
The diagnostic of AF with the "Apple watch" requires: Detection of irregular heart rate (photopletysmography) Confirmation of the rhythm with a real time single lead 30 seconds ECG with the Apple Watch. |
3 months |
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