Understanding the Increased Risk of Atrial Fibrillation in Athletes: a Case-control Study (AFLETES-ECG)
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
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Cai L Davies
- Phone Number: +447765791818
- Email: cld43@leicester.ac.uk
Study Locations
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-
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Leicester, United Kingdom, LE3 9QP
- Department of Cardiovascular Sciences. University of Leicester. Glenfield Hospital.
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Contact:
- Cai L Davies
- Phone Number: +447765791818
- Email: cld43@leicester.ac.uk
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Principal Investigator:
- Andre Ng, Professor
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Principal Investigator:
- Gerry McCann, Professor
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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:
- Competed in endurance sports with a total cumulative moderate to high intensity of > 1500 hours.
- Have participated in at least one competitive event in the last 10 years.
Exclusion Criteria:
- Permanent atrial fibrillation.
History of pre-existing cardiovascular disease :
- Atherosclerotic disease: previous myocardial infarction, symptomatic coronary artery disease or Peripheral peripheral arterial disease
- Left ventricular systolic dysfunction (EF < 45%)
- Heart muscle disease: cardiomyopathies, Infiltrative diseases of the heart
- Complex Congenital heart disease
- Moderate or severe valvular disease
- Uncontrolled hypertension (>180/100mmHg)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
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AF Athletes
Athletes with atrial fibrillation.
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Non-AF Athletes
Athletes without atrial fibrillation.
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What is the study measuring?
Primary Outcome Measures
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
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
|
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Cardiac imaging
Time Frame: At study visit
|
Myocardial perfusion reserve
|
At study visit
|
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Cardiac imaging
Time Frame: At study visit
|
Myocardial interstitial fibrosis
|
At study visit
|
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Cardiac imaging
Time Frame: At study visit
|
Left atrial mass
|
At study visit
|
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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
|
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Cardiopulmonary exercise testing
Time Frame: At study visit
|
Peak VO2
|
At study visit
|
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Cardiopulmonary exercise testing
Time Frame: At study visit
|
Exercising p wave duration
|
At study visit
|
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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
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 1001 (Registro Nacional Estudios Clinicos (RNEC))
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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