[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100550592":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":10,"centralContacts":10,"locations":23,"responsibleParty":64,"collaborators":66,"id":71,"slug":72,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":76,"acronym":10,"eligibilityCriteria":77,"healthyVolunteers":73,"sex":78,"minAge":79,"maxAge":10,"enrollmentInfo":80,"targetDuration":10,"studyType":83,"phases":10,"briefSummary":84,"conditions":85,"keywords":10,"overallStatus":89,"whyStopped":10,"lastUpdateSubmitDate":90,"lastUpdatePostDateStruct":91,"startDateStruct":94,"completionDateStruct":96,"leadSponsor":98,"locationsCount":99},{"fullName":5,"class":6},"Guy's and St Thomas' NHS Foundation Trust","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Pacing induced cardiomyopathy",null,"Patients who received a pacing device and developed pacing induced cardiomyopathy",[13],"Other: Machine learning",{"label":15,"type":10,"description":16,"interventionNames":17},"Non-pacing induced cardiomyopathy","Patients who received a pacing device and did not develop pacing induced cardiomyopathy",[13],[19],{"type":6,"name":20,"description":21,"armGroupLabels":22,"otherNames":10},"Machine learning","Analysis of data with machine learning methods",[15,9],[24,44,54],{"facility":25,"status":10,"city":26,"state":10,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":36},"Guys' and St Thomas' Hospital NHS Trust","London","SE1 7EH","United Kingdom","UK",{"type":31,"coordinates":32},"Point",[33,34],-0.12574,51.50853,{"lat":34,"lon":33},[37,41],{"name":38,"role":39,"phone":10,"phoneExt":10,"email":40},"Aldo Rinaldi, MD, MBBS, FRCP, FHRS","CONTACT","aldo.rinaldi@gstt.nhs.uk",{"name":42,"role":39,"phone":10,"phoneExt":10,"email":43},"Sandra Howell, MBBS, MSc, MSc","sandra.howell@gstt.nhs.uk",{"facility":45,"status":10,"city":26,"state":10,"zip":46,"country":28,"countryCode":29,"cosmosGeoPoint":47,"geoPoint":49,"contacts":50},"Kings' College London Healthcare Trust","SE5 9RS",{"type":31,"coordinates":48},[33,34],{"lat":34,"lon":33},[51],{"name":52,"role":39,"phone":10,"phoneExt":10,"email":53},"Francis Murgatroyd","francis.murgatroyd@nhs.net",{"facility":55,"status":10,"city":26,"state":10,"zip":56,"country":28,"countryCode":29,"cosmosGeoPoint":57,"geoPoint":59,"contacts":60},"Imperial College London Healthcare Trust","W12 0HS",{"type":31,"coordinates":58},[33,34],{"lat":34,"lon":33},[61],{"name":62,"role":39,"phone":10,"phoneExt":10,"email":63},"Steven Niederer, MPhil, PhD","s.niederer@imperial.ac.uk",{"type":65,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[67,69],{"name":68,"class":6},"Imperial College Healthcare NHS Trust",{"name":70,"class":6},"King's College Hospital NHS Trust","100550592","the-picm-risk-prediction-study---application-of-ai-to-pacing-100550592",false,"NCT06449079","The PICM Risk Prediction Study - Application of AI to Pacing","Predictive Risk Algorithm for Development of Right Ventricular Pacing Induced Cardiomyopathy - a Step Towards Personalized Pacemaker Lead Deployment","Inclusion Criteria:\n\n* All patients who received a pacing device (VVI, DDD, ICD, leadless pacemaker) from the GSTT\u002FRBH\u002FKCH\u002FICH database in the last 10 years (from 01\u002F01\u002F2014)\n* All patients who are \\>18 years old.\n* Male and Female\n\nExclusion Criteria:\n\n* Patients who did not receive a pacing device (VVI, DDD, ICD, leadless pacemaker)\n* All patients \\\u003C18 years old\n* Patients with congenital heart disease\n* Patients who have received artificial heart valves or underwent cardiac bypass surgery\n* Patients who did not have an echocardiogram after receiving a pacing device","ALL","18 Years",{"count":81,"type":82},10000,"ESTIMATED","OBSERVATIONAL","Development of pacing induced cardiomyopathy (PICM) is correlated to a high morbidity as signified by an increase in heart failure admissions and mortality. At present a lack of data leads to a failure to identify patients who are at risk of PICM and would benefit from pre-selection to physiological pacing. In the light of the foregoing, there is an urgent need for novel non-invasive detection techniques which would aid risk stratification, offer a better understanding of the prevalence and incidence of PICM in individuals with pacing devices and the contribution of additional risk factors.",[86,87,88],"Heart Failure","Pacemaker-Induced Cardiomyopathy","Pacemaker Complication","NOT_YET_RECRUITING","2024-06-05",{"date":92,"type":93},"2024-06-07","ACTUAL",{"date":95,"type":82},"2024-07-30",{"date":97,"type":82},"2026-10-30",{"name":5,"class":6},3]