Understanding the Increased Risk of Atrial Fibrillation in Athletes: a Case-control Study (AFLETES-ECG)

February 21, 2025 updated by: University of Leicester

Exercise is beneficial to heart health, however, there appears to be a 'U' shaped relationship where too much exercise may increase the risk of an irregular heart rhythm, called atrial fibrillation. Endurance athletes may have up to a 2.5-fold higher risk of developing atrial fibrillation than non-athletic controls.

The mechanisms behind this increased risk of atrial fibrillation are not the well understood. It is thought to be a mixture of enlarged heart chambers, low resting heart rate, genetic predisposition and possibly scarring in the heart. In this study, the investigators will investigate the electrical activity changes in the heart, using a high-quality electrocardiogram (ECG) and relate this to changes in the heart size measured by ultrasound and MRI. Cardiopulmonary exercise testing will determine fitness (V̇O2 max) and assess the heart's electrical activity during exercise.

This will be a case-control study where athletes with and without atrial fibrillation will be recruited. The investigators hope the results of this study can improve our understanding of atrial fibrillation in athletes by associating atrial fibrillation with structural and electrical differences which may aid the prediction of future atrial fibrillation development and help guide more athlete-specific treatment pathways.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Leicester, United Kingdom, LE3 9QP
        • Department of Cardiovascular Sciences. University of Leicester. Glenfield Hospital.
        • Contact:
        • Principal Investigator:
          • Andre Ng, Professor
        • Principal Investigator:
          • Gerry McCann, Professor

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Endurance athletes with and without atrial fibrillation from across the United Kingdom. Recruitment through social media, sports clubs, and word of mouth.

Description

Inclusion Criteria:

  • ≥18 years of age at the time of enrolment, male and female.
  • History of atrial fibrillation confirmed on ECG - either paroxysmal or persistent.
  • Competitive athlete. Defined as:

    1. Competed in endurance sports with a total cumulative moderate to high intensity of > 1500 hours.
    2. Have participated in at least one competitive event in the last 10 years.

Exclusion Criteria:

  • Permanent atrial fibrillation.
  • History of pre-existing cardiovascular disease :

    1. Atherosclerotic disease: previous myocardial infarction, symptomatic coronary artery disease or Peripheral peripheral arterial disease
    2. Left ventricular systolic dysfunction (EF < 45%)
    3. Heart muscle disease: cardiomyopathies, Infiltrative diseases of the heart
    4. Complex Congenital heart disease
    5. Moderate or severe valvular disease
    6. Uncontrolled hypertension (>180/100mmHg)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
AF Athletes
Athletes with atrial fibrillation.
Non-AF Athletes
Athletes without atrial fibrillation.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
High-resolution ECG
Time Frame: At study visit

Using high quality ECG, assess whether subtle differences can be detected in athletes with AF, compared to athletes without AF, and whether machine learning could predict new-onset AF.

Detection of subtle differences in p wave parameters (duration, amplitude, dispersion, PTFV1) in athletes with AF compared to athletes without AF. AUC, specificity and sensitivity.

At study visit

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
AI classification and prediction
Time Frame: At study visit

Assess the accuracy of using machine learning to identify athletes with AF using ECG data.

AUC, specificity and sensitivity of machine learning identification of AF.

At study visit
72hr heart rate monitoring
Time Frame: At study visit

Compare autonomic tone via heart rate variability from 72-hour continuous ECG monitoring in athletes with and without AF.

Analysis of RR intervals from heart rate variability.

At study visit
Electronic stethoscope recording
Time Frame: At study visit

Compare the heart sounds using electronic stethoscope in athletes with and without AF.

S1 and S2 sounds of heart valves.

At study visit
Cardiac imaging
Time Frame: At study visit
Left ventricular mass
At study visit
Cardiac imaging
Time Frame: At study visit
Left ventricular volume
At study visit
Cardiac imaging
Time Frame: At study visit
Strain rate
At study visit
Cardiac imaging
Time Frame: At study visit
Myocardial perfusion reserve
At study visit
Cardiac imaging
Time Frame: At study visit
Myocardial interstitial fibrosis
At study visit
Cardiac imaging
Time Frame: At study visit
Left atrial mass
At study visit
Cardiac imaging
Time Frame: At study visit
Left atrial volume
At study visit
Cardiac imaging
Time Frame: At study visit
Vascular stiffness
At study visit
Cardiac imaging
Time Frame: At study visit
Left ventricular filling pressure
At study visit
Cardiac imaging
Time Frame: At study visit
Tissue Doppler velocity
At study visit
Cardiopulmonary exercise testing
Time Frame: At study visit
Peak VO2
At study visit
Cardiopulmonary exercise testing
Time Frame: At study visit
Exercising p wave duration
At study visit
Cardiopulmonary exercise testing
Time Frame: At study visit
Exercising p wave amplitude
At study visit
Cardiopulmonary exercise testing
Time Frame: At study visit
Exercising p wave dispersion
At study visit
Cardiopulmonary exercise testing
Time Frame: At study visit
Exercising p wave PTFV1
At study visit
Cardiac motion recording
Time Frame: At study visit
Cardiac angular velocity
At study visit

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

February 28, 2025

Primary Completion (Estimated)

October 10, 2026

Study Completion (Estimated)

October 10, 2026

Study Registration Dates

First Submitted

January 27, 2025

First Submitted That Met QC Criteria

February 21, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 21, 2025

Last Verified

February 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 1001 (Registro Nacional Estudios Clinicos (RNEC))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant identifiable data will not be shared. Imaging scans anonymised may be shared with future potential collaborators.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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