[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100643143":3},{"organization":4,"armGroups":7,"interventions":16,"overallOfficials":34,"centralContacts":39,"locations":44,"responsibleParty":89,"collaborators":22,"id":92,"slug":93,"hasResults":94,"nctId":95,"briefTitle":96,"officialTitle":97,"acronym":98,"eligibilityCriteria":99,"healthyVolunteers":94,"sex":100,"minAge":101,"maxAge":102,"enrollmentInfo":103,"targetDuration":22,"studyType":106,"phases":107,"briefSummary":109,"conditions":110,"keywords":112,"overallStatus":47,"whyStopped":22,"lastUpdateSubmitDate":119,"lastUpdatePostDateStruct":120,"startDateStruct":123,"completionDateStruct":125,"leadSponsor":127,"locationsCount":128},{"fullName":5,"class":6},"Seoul St. Mary's Hospital","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"AF Risk Group","EXPERIMENTAL","Participants at risk for atrial fibrillation undergo 7-day continuous ECG patch monitoring and SNP array genotyping at enrollment, followed by 1-year self-monitoring with a six-lead handheld ECG device (HATIV® P30, VUNO Inc.).",[13,14,15],"Device: 7-day continuous ECG patch monitor","Device: Six-lead handheld electrocardiogram device","Genetic: SNP array genotyping",[17,23,29],{"type":18,"name":19,"description":20,"armGroupLabels":21,"otherNames":22},"DEVICE","7-day continuous ECG patch monitor","Continuous ECG patch worn for 7 days at enrollment to detect atrial fibrillation and other arrhythmias.",[9],null,{"type":18,"name":24,"description":25,"armGroupLabels":26,"otherNames":27},"Six-lead handheld electrocardiogram device","Six-lead ECG device used for self-monitoring at least once or twice weekly and upon symptoms for 1 year.",[9],[28],"HATIV® P30",{"type":30,"name":31,"description":32,"armGroupLabels":33,"otherNames":22},"GENETIC","SNP array genotyping","DNA extracted from a 5cc blood sample is used to perform SNP array genotyping. The resulting data are used to calculate a polygenic risk score (PRS) for atrial fibrillation based on previously published genome-wide association study results.",[9],[35],{"name":36,"affiliation":37,"role":38},"Young Choi, MD, PhD","The Catholic University of Korea","PRINCIPAL_INVESTIGATOR",[40],{"name":36,"role":41,"phone":42,"phoneExt":22,"email":43},"CONTACT","82-2-1588-1511","superstar@catholic.ac.kr",[45,56,68,73,81],{"facility":46,"status":47,"city":48,"state":22,"zip":22,"country":49,"countryCode":22,"cosmosGeoPoint":50,"geoPoint":55,"contacts":22},"The Catholic University of Korea Incheon St. Mary's Hospital","RECRUITING","Incheon","South Korea",{"type":51,"coordinates":52},"Point",[53,54],126.70515,37.45646,{"lat":54,"lon":53},{"facility":57,"status":47,"city":58,"state":22,"zip":59,"country":49,"countryCode":22,"cosmosGeoPoint":60,"geoPoint":64,"contacts":65},"The Catholic University of Korea Seoul St. Mary's Hospital","Seoul","06591",{"type":51,"coordinates":61},[62,63],126.9784,37.566,{"lat":63,"lon":62},[66,67],{"name":36,"role":41,"phone":42,"phoneExt":22,"email":43},{"name":36,"role":38,"phone":22,"phoneExt":22,"email":22},{"facility":69,"status":47,"city":58,"state":22,"zip":22,"country":49,"countryCode":22,"cosmosGeoPoint":70,"geoPoint":72,"contacts":22},"The Catholic University of Korea Eunpyeong St. Mary's Hospital",{"type":51,"coordinates":71},[62,63],{"lat":63,"lon":62},{"facility":74,"status":47,"city":75,"state":22,"zip":22,"country":49,"countryCode":22,"cosmosGeoPoint":76,"geoPoint":80,"contacts":22},"The Catholic University of Korea St. Vincent's Hospital","Suwon",{"type":51,"coordinates":77},[78,79],127.00889,37.29111,{"lat":79,"lon":78},{"facility":82,"status":47,"city":83,"state":22,"zip":22,"country":49,"countryCode":22,"cosmosGeoPoint":84,"geoPoint":88,"contacts":22},"The Catholic University of Korea Uijeongbu St. Mary's Hospital","Uijeongbu-si",{"type":51,"coordinates":85},[86,87],127.0474,37.7415,{"lat":87,"lon":86},{"type":38,"investigatorFullName":90,"investigatorTitle":91,"investigatorAffiliation":5,"oldNameTitle":22,"oldOrganization":22},"Young Choi","Associate Professor","100643143","prediction-of-atrial-fibrillation-using-polygenic-risk-score-100643143",false,"NCT07641582","Prediction of Atrial Fibrillation Using Polygenic Risk Score","Development of an Atrial Fibrillation Prediction Model Using Polygenic Risk Score: A Prospective Cohort Study","PREGENCE","Inclusion Criteria:\n\n* Patients with symptoms suggestive of paroxysmal atrial fibrillation, such as intermittent palpitations or chest discomfort\n* Asymptomatic patients aged 60 or older with at least one of the following risk factors for atrial fibrillation: hypertension, diabetes, coronary artery disease, valvular heart disease, cardiomyopathy, sleep apnea, hyperthyroidism, obesity (BMI greater than 30), or chronic alcohol dependence (drinking more than 3 times per week)\n\nExclusion Criteria:\n\n* Age under 20 years or over 80 years\n* Moderate or severe cognitive impairment\n* Previously diagnosed with atrial fibrillation prior to study enrollment\n* Does not consent to participate in the study","ALL","20 Years","79 Years",{"count":104,"type":105},800,"ESTIMATED","INTERVENTIONAL",[108],"NA","The goal of this clinical trial is to learn whether a genetic risk score can help identify undiagnosed atrial fibrillation (AF) in adults who may have it. AF is an irregular heartbeat that raises the risk of stroke if not treated early.\n\nThe main questions it aims to answer are:\n\nCan a polygenic risk score (PRS) - a score based on a person's genes - identify who is more likely to have AF? Does combining PRS with a person's medical history predict AF better than using medical history alone?\n\nParticipants will:\n\nWear a continuous ECG patch for 7 days to record heart rhythm Give a blood sample for genetic testing to calculate their PRS Use a six-lead handheld ECG device (HATIV® P30, VUNO Inc., Seoul, Republic of Korea) to check their own heart rhythm at home once or twice a week for 1 year Visit the clinic 5 times over 1 year\n\nResearchers will use the genetic and clinical information collected to build a scoring system that predicts who is at risk for AF.",[111],"Atrial Fibrillation (AF)",[113,114,115,116,117,118],"Polygenic Risk Score","Atrial Fibrillation Screening","Handheld ECG","SNP Array","Holter Monitoring","Genetic Risk","2026-06-06",{"date":121,"type":122},"2026-06-11","ACTUAL",{"date":124,"type":122},"2024-11-19",{"date":126,"type":105},"2027-06-30",{"name":5,"class":6},5]