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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AF Athletes | Athletes with atrial fibrillation. | ||
| Non-AF Athletes | Athletes without atrial fibrillation. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | At study visit |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | At study visit |
| 72hr heart rate monitoring |
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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:
Exclusion Criteria:
Permanent atrial fibrillation.
History of pre-existing cardiovascular disease :
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Endurance athletes with and without atrial fibrillation from across the United Kingdom. Recruitment through social media, sports clubs, and word of mouth.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Cai L Davies | Contact | +447765791818 | cld43@leicester.ac.uk |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Cardiovascular Sciences. University of Leicester. Glenfield Hospital. | Leicester | LE3 9QP | United Kingdom |
Individual participant identifiable data will not be shared. Imaging scans anonymised may be shared with future potential collaborators.
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| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| D009043 | Motor Activity |
| D001145 | Arrhythmias, Cardiac |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Plasma, serum, buffycoat
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 | 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 | Left ventricular mass | At study visit |
| Cardiac imaging | Left ventricular volume | At study visit |
| Cardiac imaging | Strain rate | At study visit |
| Cardiac imaging | Myocardial perfusion reserve | At study visit |
| Cardiac imaging | Myocardial interstitial fibrosis | At study visit |
| Cardiac imaging | Left atrial mass | At study visit |
| Cardiac imaging | Left atrial volume | At study visit |
| Cardiac imaging | Vascular stiffness | At study visit |
| Cardiac imaging | Left ventricular filling pressure | At study visit |
| Cardiac imaging | Tissue Doppler velocity | At study visit |
| Cardiopulmonary exercise testing | Peak VO2 | At study visit |
| Cardiopulmonary exercise testing | Exercising p wave duration | At study visit |
| Cardiopulmonary exercise testing | Exercising p wave amplitude | At study visit |
| Cardiopulmonary exercise testing | Exercising p wave dispersion | At study visit |
| Cardiopulmonary exercise testing | Exercising p wave PTFV1 | At study visit |
| Cardiac motion recording | Cardiac angular velocity | At study visit |
| D001519 | Behavior |