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Not yet recruitingNCT06844656AFLETES-ECGUpdated Feb 25, 2025

Understanding the Increased Risk of Atrial Fibrillation in Athletes: a Case-control Study

An observational study in Atrial Fibrillation (AF), sponsored by University of Leicester. Not yet recruiting at 1 site in United Kingdom. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-02-25.

Sponsored by University of Leicester · Observational

Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
200
Ages
18 Years and older
Sex
All
01

Study summary

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.

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Conditions studied

  • Atrial Fibrillation (AF)

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Keywords

  • Atrial Fibrillation
  • Athletes
  • Sport
  • Physical Activity
  • Exercise
  • Arrhythmias
03

In context

Atrial Fibrillation

3,870 studies on the registry are indexed under Atrial Fibrillation; 923 are open to participants now.

This study's planned enrollment of 200 is below the median of 300 across 1,362 observational studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Lead sponsor

University of Leicester is the lead sponsor of 166 studies on the registry; 51 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
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.

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

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)
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Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
200 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • AF Athletes

    Athletes with atrial fibrillation.

  • Non-AF Athletes

    Athletes without atrial fibrillation.

06

What researchers measure

Primary outcomes

  1. High-resolution ECG

    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.

    Time frame: At study visit

Secondary outcomes

  1. AI classification and prediction

    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.

    Time frame: At study visit

  2. 72hr heart rate monitoring

    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.

    Time frame: At study visit

  3. Electronic stethoscope recording

    Compare the heart sounds using electronic stethoscope in athletes with and without AF. S1 and S2 sounds of heart valves.

    Time frame: At study visit

  4. Cardiac imaging

    Left ventricular mass

    Time frame: At study visit

  5. Cardiac imaging

    Left ventricular volume

    Time frame: At study visit

  6. Cardiac imaging

    Strain rate

    Time frame: At study visit

  7. Cardiac imaging

    Myocardial perfusion reserve

    Time frame: At study visit

  8. Cardiac imaging

    Myocardial interstitial fibrosis

    Time frame: At study visit

  9. Cardiac imaging

    Left atrial mass

    Time frame: At study visit

  10. Cardiac imaging

    Left atrial volume

    Time frame: At study visit

  11. Cardiac imaging

    Vascular stiffness

    Time frame: At study visit

  12. Cardiac imaging

    Left ventricular filling pressure

    Time frame: At study visit

  13. Cardiac imaging

    Tissue Doppler velocity

    Time frame: At study visit

  14. Cardiopulmonary exercise testing

    Peak VO2

    Time frame: At study visit

  15. Cardiopulmonary exercise testing

    Exercising p wave duration

    Time frame: At study visit

  16. Cardiopulmonary exercise testing

    Exercising p wave amplitude

    Time frame: At study visit

  17. Cardiopulmonary exercise testing

    Exercising p wave dispersion

    Time frame: At study visit

  18. Cardiopulmonary exercise testing

    Exercising p wave PTFV1

    Time frame: At study visit

  19. Cardiac motion recording

    Cardiac angular velocity

    Time frame: At study visit

07

Study locations

1 site
  • Department of Cardiovascular Sciences. University of Leicester. Glenfield Hospital.
    Leicester, LE3 9QP, United Kingdom
    • Cai L Davies · Contact · cld43@leicester.ac.uk · +447765791818
    • Andre Ng, Professor · Principal investigator
    • Gerry McCann, Professor · Principal investigator
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References and documents

Individual participant data

Plan to share: No — Individual participant identifiable data will not be shared. Imaging scans anonymised may be shared with future potential collaborators.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 25, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06844656
Lead sponsor
University of Leicester
Responsible party
Sponsor
First posted
Feb 25, 2025
Start date
Feb 28, 2025 (estimated)
Primary completion
Oct 10, 2026 (estimated)
Completion
Oct 10, 2026 (estimated)
Last update
Feb 25, 2025

Study contacts

Cai L Davies
Contact
cld43@leicester.ac.uk
+447765791818

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Feb 2025. You cannot join it, but the record below documents what was studied.

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