Genetic Risk-Based Atrial Fibrillation Screening (GeneAF Study)

NCT ID: NCT04932798

Last Updated: 2022-09-01

Basic Information

• Recruitment Status: ENROLLING_BY_INVITATION
• Total Enrollment: 726 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2021-06-01
• Study Completion Date: 2026-01-10

Brief Summary

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.

Detailed Description

In Canada, 50,000 strokes occur every year and can have devastating consequences on patients. Approximately 15% of strokes are attributable to an undiagnosed arrhythmia, atrial fibrillation (AF). Strokes due to AF are more severe and lethal but are preventable with anti-coagulation. Most patients who suffer from AF are asymptomatic and thus don't come spontaneously to medical attention. The diagnosis can be made by electrocardiographical (ECG) recording. As longer recordings spanning on weeks and months are often required, it is not possible to apply this intense screening to the entire population. The GeneAF project thus aims to use genetic information to identify and target patients who benefit the most from a more intensive screening approach. A previously published genetic polygenic risk score (GPS) for AF has been shown to be associated with prevalent AF in the UK biobank population. Participants in the top 5 percentile were three times more likely to have a history of AF (prevalent AF).

The aim of this project is to determine if the use of this previously published GPS score for prevalent AF can be used to screen for silent incident AF in our population.

Primary objective: To assess the association of GPSAF with silent AF and compare AF detection rates in patients with a high GPSAF to matched controls.

Secondary objectives: To determine the proportion of patients with identified AF who will be prescribed anticoagulation during follow-up.

Methods:

The GeneAF study is a cohort study comparing AF detection rate using a 3 months near-continuous monitoring in individuals with a high GPSAF (top 5%; High Risk group) with matched individuals from the bottom 95% GPSAF (Lower Risk group). All included subjects are current participants in the MHI biobank. Only candidates who would be considered for anticoagulation in case AF is detected (actionable AF; CHADS-65 > 1. We estimate that approximately 350 patients per group will be needed.

Conditions

Genetic Predisposition; Atrial Fibrillation

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

High-Risk group

: Montreal Heart Institute biobank participants with a high specific genome-wide polygenic risk scores for atrial fibrillation G

Resting ECG (if first visit is done on site only)

Intervention Type: DIAGNOSTIC_TEST

The standard 12-lead electrocardiogram is a representation of the heart's electrical activity recorded from electrodes on the body surface.

This test requires around 15 minutes of the participant's time.

24-hour ambulatory electrocardiographic monitoring (Holter) (if first visit done on site only)

Intervention Type: DIAGNOSTIC_TEST

The Holter monitor is a type of portable electrocardiogram (ECG) worn continuously for 24 hours.

3-month AF detection monitoring using the Apple Watch

Intervention Type: DIAGNOSTIC_TEST

Patients with irregular heart rates will be notified by the Apple Watch and instructed to confirm the rhythm by using the integrated ECG recording system. This simply requires touching the watch with a finger from the opposite hand and provides a 30 seconds one-lead ECG recording of diagnostic quality. These tracing will be transferred to the study team for analysis using a dedicated email.

Low-Risk group

Montreal Heart Institute biobank participants with a low specific genome-wide polygenic risk scores for atrial fibrillation G

Resting ECG (if first visit is done on site only)

Intervention Type: DIAGNOSTIC_TEST

The standard 12-lead electrocardiogram is a representation of the heart's electrical activity recorded from electrodes on the body surface.

This test requires around 15 minutes of the participant's time.

24-hour ambulatory electrocardiographic monitoring (Holter) (if first visit done on site only)

Intervention Type: DIAGNOSTIC_TEST

The Holter monitor is a type of portable electrocardiogram (ECG) worn continuously for 24 hours.

3-month AF detection monitoring using the Apple Watch

Intervention Type: DIAGNOSTIC_TEST

Patients with irregular heart rates will be notified by the Apple Watch and instructed to confirm the rhythm by using the integrated ECG recording system. This simply requires touching the watch with a finger from the opposite hand and provides a 30 seconds one-lead ECG recording of diagnostic quality. These tracing will be transferred to the study team for analysis using a dedicated email.

Interventions

Resting ECG (if first visit is done on site only)

The standard 12-lead electrocardiogram is a representation of the heart's electrical activity recorded from electrodes on the body surface.

This test requires around 15 minutes of the participant's time.

Intervention Type: DIAGNOSTIC_TEST

24-hour ambulatory electrocardiographic monitoring (Holter) (if first visit done on site only)

The Holter monitor is a type of portable electrocardiogram (ECG) worn continuously for 24 hours.

Intervention Type: DIAGNOSTIC_TEST

3-month AF detection monitoring using the Apple Watch

Patients with irregular heart rates will be notified by the Apple Watch and instructed to confirm the rhythm by using the integrated ECG recording system. This simply requires touching the watch with a finger from the opposite hand and provides a 30 seconds one-lead ECG recording of diagnostic quality. These tracing will be transferred to the study team for analysis using a dedicated email.

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

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"

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Montreal Heart Institute

OTHER

Sponsor Role: lead

Responsible Party

Julia Cadrin-Tourigny

Cardiologist electrophysiologist

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Julia Cadrin-Tourigny, MD

Role: PRINCIPAL_INVESTIGATOR

Montreal Heart Institute

Locations

Montreal Heart Institute

Montreal, Quebec, Canada

Countries

Canada

References

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.

Reference Type: BACKGROUND

PMID: 30104762 (View on PubMed)

Wunnemann F, Sin Lo K, Langford-Avelar A, Busseuil D, Dube 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.

Reference Type: BACKGROUND

PMID: 31184202 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 31722151 (View on PubMed)

Other Identifiers

2020-2780

Identifier Type: -

Identifier Source: org_study_id