[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100138742":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":17,"responsibleParty":45,"collaborators":47,"id":51,"slug":52,"hasResults":53,"nctId":54,"briefTitle":55,"officialTitle":56,"acronym":7,"eligibilityCriteria":57,"healthyVolunteers":53,"sex":58,"minAge":59,"maxAge":60,"enrollmentInfo":61,"targetDuration":7,"studyType":64,"phases":7,"briefSummary":65,"conditions":66,"keywords":69,"overallStatus":34,"whyStopped":7,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":85},{"fullName":5,"class":6},"Johns Hopkins University","OTHER",null,[9],{"name":10,"affiliation":5,"role":11},"Katherine Wu, MD","PRINCIPAL_INVESTIGATOR",[13],{"name":10,"role":14,"phone":15,"phoneExt":7,"email":16},"CONTACT","410-502-7283","kwu@jhmi.edu",[18,32],{"facility":19,"status":20,"city":21,"state":22,"zip":23,"country":24,"countryCode":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":7},"Christiana Care Health Services","ACTIVE_NOT_RECRUITING","Newark","Delaware","19718","United States","US",{"type":27,"coordinates":28},"Point",[29,30],-75.74966,39.68372,{"lat":30,"lon":29},{"facility":33,"status":34,"city":35,"state":36,"zip":37,"country":24,"countryCode":25,"cosmosGeoPoint":38,"geoPoint":42,"contacts":43},"Johns Hopkins Medical Institutions","RECRUITING","Baltimore","Maryland","21287",{"type":27,"coordinates":39},[40,41],-76.61219,39.29038,{"lat":41,"lon":40},[44],{"name":10,"role":11,"phone":7,"phoneExt":7,"email":7},{"type":46,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[48,50],{"name":49,"class":6},"Donald W. Reynolds Foundation",{"name":19,"class":6},"100138742","left-ventricular-structural-predictors-of-sudden-cardiac-death-100138742",false,"NCT01076660","Left Ventricular Structural Predictors of Sudden Cardiac Death","Left Ventricular Structural Predictors of Sudden Cardiac Death [Substudy of: Functional Energetics and Imaging for Phenotypic Characterization of Patients at Risk for Sudden Cardiac Death, See Also NCT000181233]","Inclusion Criteria:\n\n* LVEF≤35%, referred clinically for ICD insertion for primary prevention purposes (i.e. no prior history of sustained ventricular arrhythmias)\n* Between the ages of 21 and 80 years old\n* Permission of the patient's clinical attending physician\n\nExclusion Criteria:\n\n* Patients who refuse or are unable to give consent.\n* Individuals with contraindications to MRI (i.e. implanted metallic objects such as pre-existing cardiac pacemakers, cerebral clips or indwelling metallic projectiles)\n* Minors.\n* Pregnant women.\n* NYHA Class IV heart failure.\n* Chronic renal insufficiency with creatinine clearance\\\u003C60 ml\u002Fmin; acute renal insufficiency of any severity\n* Claustrophobia\n* Prior adverse reaction to gadolinium-based contrast","ALL","21 Years","80 Years",{"count":62,"type":63},400,"ESTIMATED","OBSERVATIONAL","Sudden cardiac death (SCD) poses a significant health care challenge with high annual incidence and low survival rates. Implantable cardioverter defibrillators (ICDs) prevent SCD in patients with poor heart function. However, the critical survival benefit afforded by the devices is accompanied by short and long-term complications and a high economic burden. Moreover, in using current practice guidelines of reduced heart function, specifically left ventricular ejection fraction (LVEF)≤35%, as the main determining factor for patient selection, only a minority of patients actually benefit from ICD therapy (\\\u003C25% in 5 years). There is an essential need for more robust diagnostic approaches to SCD risk stratification.\n\nThis project examines the hypothesis that structural abnormalities of the heart itself, above and beyond global LV dysfunction, are important predictors of SCD risk since they indicate the presence of the abnormal tissue substrate required for the abnormal electrical circuits and heart rhythms that actually lead to SCD. Information about the heart's structure will be obtained from cardiac magnetic resonance imaging and used in combination with a number of other clinical risk factors to see if certain characteristics can better predict patients at risk for SCD.",[67,68],"Ischemic Cardiomyopathy","Nonischemic Cardiomyopathy",[70,71,72,73,74,75],"Ischemic cardiomyopathy","Nonischemic cardiomyopathy","Implantable cardioverter defibrillator","Sudden Cardiac Death","Ventricular tachycardia","Ventricular fibrillation","2026-01-15",{"date":78,"type":79},"2026-01-20","ACTUAL",{"date":81,"type":7},"2003-10",{"date":83,"type":63},"2030-06",{"name":5,"class":6},2]