[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100581003":3},{"organization":4,"outcomesModule":7,"designInfo":59,"detailedDescription":58,"studyPopulation":62,"armGroups":63,"interventions":58,"overallOfficials":58,"centralContacts":70,"locations":76,"responsibleParty":96,"collaborators":58,"id":98,"slug":58,"hasResults":99,"nctId":100,"briefTitle":101,"officialTitle":101,"acronym":102,"eligibilityCriteria":103,"healthyVolunteers":104,"sex":105,"minAge":106,"maxAge":58,"enrollmentInfo":107,"targetDuration":58,"studyType":110,"phases":58,"briefSummary":111,"conditions":112,"keywords":114,"overallStatus":121,"whyStopped":58,"lastUpdateSubmitDate":122,"lastUpdatePostDateStruct":123,"startDateStruct":126,"completionDateStruct":128,"leadSponsor":130,"locationsCount":131},{"fullName":5,"class":6},"University of Leicester","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":58},[9],{"measure":10,"description":11,"timeFrame":12},"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.\n\nDetection 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",[14,17,20,23,26,28,30,32,34,36,38,40,42,44,47,49,51,53,55],{"measure":15,"description":16,"timeFrame":12},"AI classification and prediction","Assess the accuracy of using machine learning to identify athletes with AF using ECG data.\n\nAUC, specificity and sensitivity of machine learning identification of AF.",{"measure":18,"description":19,"timeFrame":12},"72hr heart rate monitoring","Compare autonomic tone via heart rate variability from 72-hour continuous ECG monitoring in athletes with and without AF.\n\nAnalysis of RR intervals from heart rate variability.",{"measure":21,"description":22,"timeFrame":12},"Electronic stethoscope recording","Compare the heart sounds using electronic stethoscope in athletes with and without AF.\n\nS1 and S2 sounds of heart valves.",{"measure":24,"description":25,"timeFrame":12},"Cardiac imaging","Left ventricular mass",{"measure":24,"description":27,"timeFrame":12},"Left ventricular volume",{"measure":24,"description":29,"timeFrame":12},"Strain rate",{"measure":24,"description":31,"timeFrame":12},"Myocardial perfusion reserve",{"measure":24,"description":33,"timeFrame":12},"Myocardial interstitial fibrosis",{"measure":24,"description":35,"timeFrame":12},"Left atrial mass",{"measure":24,"description":37,"timeFrame":12},"Left atrial volume",{"measure":24,"description":39,"timeFrame":12},"Vascular stiffness",{"measure":24,"description":41,"timeFrame":12},"Left ventricular filling pressure",{"measure":24,"description":43,"timeFrame":12},"Tissue Doppler velocity",{"measure":45,"description":46,"timeFrame":12},"Cardiopulmonary exercise testing","Peak VO2",{"measure":45,"description":48,"timeFrame":12},"Exercising p wave duration",{"measure":45,"description":50,"timeFrame":12},"Exercising p wave amplitude",{"measure":45,"description":52,"timeFrame":12},"Exercising p wave dispersion",{"measure":45,"description":54,"timeFrame":12},"Exercising p wave PTFV1",{"measure":56,"description":57,"timeFrame":12},"Cardiac motion recording","Cardiac angular velocity",null,{"allocation":58,"interventionModel":58,"interventionModelDescription":58,"primaryPurpose":58,"observationalModel":60,"timePerspective":61,"maskingInfo":58},"CASE_CONTROL","CROSS_SECTIONAL","Endurance athletes with and without atrial fibrillation from across the United Kingdom. Recruitment through social media, sports clubs, and word of mouth.",[64,67],{"label":65,"type":58,"description":66,"interventionNames":58},"AF Athletes","Athletes with atrial fibrillation.",{"label":68,"type":58,"description":69,"interventionNames":58},"Non-AF Athletes","Athletes without atrial fibrillation.",[71],{"name":72,"role":73,"phone":74,"phoneExt":58,"email":75},"Cai L Davies","CONTACT","+447765791818","cld43@leicester.ac.uk",[77],{"facility":78,"status":58,"city":79,"state":58,"zip":80,"country":81,"countryCode":82,"cosmosGeoPoint":83,"geoPoint":88,"contacts":89},"Department of Cardiovascular Sciences. University of Leicester. Glenfield Hospital.","Leicester","LE3 9QP","United Kingdom","UK",{"type":84,"coordinates":85},"Point",[86,87],-1.13169,52.6386,{"lat":87,"lon":86},[90,91,94],{"name":72,"role":73,"phone":74,"phoneExt":58,"email":75},{"name":92,"role":93,"phone":58,"phoneExt":58,"email":58},"Andre Ng, Professor","PRINCIPAL_INVESTIGATOR",{"name":95,"role":93,"phone":58,"phoneExt":58,"email":58},"Gerry McCann, Professor",{"type":97,"investigatorFullName":58,"investigatorTitle":58,"investigatorAffiliation":58,"oldNameTitle":58,"oldOrganization":58},"SPONSOR","100581003",false,"NCT06844656","Understanding the Increased Risk of Atrial Fibrillation in Athletes: a Case-control Study","AFLETES-ECG","Inclusion Criteria:\n\n* ≥18 years of age at the time of enrolment, male and female.\n* History of atrial fibrillation confirmed on ECG - either paroxysmal or persistent.\n* Competitive athlete. Defined as:\n\n  1. Competed in endurance sports with a total cumulative moderate to high intensity of \\> 1500 hours.\n  2. Have participated in at least one competitive event in the last 10 years.\n\nExclusion Criteria:\n\n* Permanent atrial fibrillation.\n* History of pre-existing cardiovascular disease :\n\n  1. Atherosclerotic disease: previous myocardial infarction, symptomatic coronary artery disease or Peripheral peripheral arterial disease\n  2. Left ventricular systolic dysfunction (EF \\\u003C 45%)\n  3. Heart muscle disease: cardiomyopathies, Infiltrative diseases of the heart\n  4. Complex Congenital heart disease\n  5. Moderate or severe valvular disease\n  6. Uncontrolled hypertension (\\>180\u002F100mmHg)",true,"ALL","18 Years",{"count":108,"type":109},200,"ESTIMATED","OBSERVATIONAL","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.\n\nThe 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.\n\nThis 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.",[113],"Atrial Fibrillation (AF)",[115,116,117,118,119,120],"Atrial Fibrillation","Athletes","Sport","Physical Activity","Exercise","Arrhythmias","NOT_YET_RECRUITING","2025-02-21",{"date":124,"type":125},"2025-02-25","ACTUAL",{"date":127,"type":109},"2025-02-28",{"date":129,"type":109},"2026-10-10",{"name":5,"class":6},1]