[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100561820":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":23,"centralContacts":28,"locations":36,"responsibleParty":125,"collaborators":128,"id":131,"slug":10,"hasResults":132,"nctId":133,"briefTitle":134,"officialTitle":135,"acronym":136,"eligibilityCriteria":137,"healthyVolunteers":132,"sex":138,"minAge":139,"maxAge":10,"enrollmentInfo":140,"targetDuration":10,"studyType":143,"phases":10,"briefSummary":144,"conditions":145,"keywords":147,"overallStatus":69,"whyStopped":10,"lastUpdateSubmitDate":149,"lastUpdatePostDateStruct":150,"startDateStruct":153,"completionDateStruct":155,"leadSponsor":157,"locationsCount":158},{"fullName":5,"class":6},"University Hospital, Bonn","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Arm 1",null,"Standard Care plus Fitnesstracker and Citizen App",[13],"Other: Non Interventional",{"label":15,"type":10,"description":16,"interventionNames":17},"Arm 2","Standard Care",[13],[19],{"type":6,"name":20,"description":21,"armGroupLabels":22,"otherNames":10},"Non Interventional","Screening (Day -7 to Day -1) Visit 1 (Day 0) Visit 2 (Month 3 +\u002F- 7 days) Visit 3 (Month 6 +\u002F- 7 days) Visit 4 (Month 12 +\u002F- 7 days) Visit 5 (Month 24 +\u002F- 7 days) Visit 6 (Month 60 +\u002F- 30 days; end of study)",[9,15],[24],{"name":25,"affiliation":26,"role":27},"Ulrike Attenberger, Prof. Dr.","ulrike.attenberger@meduniwien.ac.at","PRINCIPAL_INVESTIGATOR",[29,32],{"name":25,"role":30,"phone":31,"phoneExt":10,"email":26},"CONTACT","+43 (0)140400-48930",{"name":33,"role":30,"phone":34,"phoneExt":10,"email":35},"Wiebke Fenske, Prof. Dr.","0234 302 6400","Wiebke.Fenske@bergmannsheil.de",[37,53,67,82,98,111],{"facility":38,"status":39,"city":40,"state":10,"zip":41,"country":42,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"Medical University Vienna","NOT_YET_RECRUITING","Vienna","1090","Austria",{"type":44,"coordinates":45},"Point",[46,47],16.37208,48.20849,{"lat":47,"lon":46},[50],{"name":51,"role":30,"phone":10,"phoneExt":10,"email":52},"Christian Loewe, Prof. Dr.","christian.loewe@meduniwien.ac.at",{"facility":54,"status":39,"city":55,"state":10,"zip":56,"country":57,"cosmosGeoPoint":58,"geoPoint":62,"contacts":63},"University Hospital Leuven","Leuven","3000","Belgium",{"type":44,"coordinates":59},[60,61],4.70093,50.87959,{"lat":61,"lon":60},[64],{"name":65,"role":30,"phone":10,"phoneExt":10,"email":66},"Hilde Bosmans, Prof.","hilde.bosmans@kuleuven.be",{"facility":68,"status":69,"city":70,"state":10,"zip":71,"country":72,"cosmosGeoPoint":73,"geoPoint":77,"contacts":78},"University Hospital Pilsen","RECRUITING","Pilsen","323 00","Czechia",{"type":44,"coordinates":74},[75,76],13.37759,49.74747,{"lat":76,"lon":75},[79],{"name":80,"role":30,"phone":10,"phoneExt":10,"email":81},"Jiri Ferda, Prof. Dr.","ferda@fnplzen.cz",{"facility":83,"status":69,"city":84,"state":85,"zip":86,"country":87,"cosmosGeoPoint":88,"geoPoint":92,"contacts":93},"University Hospital Bonn","Bonn","North Rhine-Westphalia","53127","Germany",{"type":44,"coordinates":89},[90,91],7.09549,50.73438,{"lat":91,"lon":90},[94,97],{"name":25,"role":30,"phone":95,"phoneExt":10,"email":96},"0228 287 15871","Ulrike.Attenberger@ukbonn.de",{"name":33,"role":30,"phone":34,"phoneExt":10,"email":35},{"facility":99,"status":69,"city":100,"state":10,"zip":101,"country":87,"cosmosGeoPoint":102,"geoPoint":106,"contacts":107},"University Hospital Mannheim","Mannheim","68167",{"type":44,"coordinates":103},[104,105],8.46694,49.4891,{"lat":105,"lon":104},[108],{"name":109,"role":30,"phone":10,"phoneExt":10,"email":110},"Stefan Schönberg, Prof. Dr.","stefan.schoenberg@umm.de",{"facility":112,"status":39,"city":113,"state":10,"zip":114,"country":115,"cosmosGeoPoint":116,"geoPoint":120,"contacts":121},"University Hospital Zürich","Zurich","8091","Switzerland",{"type":44,"coordinates":117},[118,119],8.55,47.36667,{"lat":119,"lon":118},[122],{"name":123,"role":30,"phone":10,"phoneExt":10,"email":124},"Hatem Alkadhi, Prof. Dr.","hatem.alkadhi@usz.ch",{"type":27,"investigatorFullName":126,"investigatorTitle":127,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Prof. Dr. Ulrike Attenberger","Director, Clinic for Diagnostik and Interventional Radiology",[129],{"name":130,"class":6},"European Union","100561820",false,"NCT06595134","AI-POD Clinical Validation Study for Obese Patients","AI for the Prediction of Obesity-Related Vascular Diseases - Validation Study","AI-POD","Inclusion Criteria:\n\n* Age greater than or equal to 45 years at the time of signing informed consent\n* BMI greater than or equal to 30 kg\u002Fm2\n* Patients with suspected CVD (\\>15% pretest probability \\[ESC guidelines\\]), referred for cardiac CT examinations (consisting of coronary calcium scoring and coronary CT angiography)\n* Informed consent of the patient\n\nExclusion Criteria:\n\n* Any of the following CV conditions within 2 months prior to study inclusion: myocardial infarction, stroke,\n* Hospitalization for unstable angina pectoris or transient ischemic attack or due to congestive heart failure.\n* Planned coronary, carotid, or peripheral artery revascularisation known on the day of inclusion\n* Presently classified NYHA IV heart failure\n* Having uncontrolled diabetes mellitus (HbA1c ≥ 11%) at day of inclusion\n* Having uncontrolled hypertension (SBP ≥ 160 mmHg and\u002For DBP ≥ 100 mmHg) as measured at inclusion\n* Having severe renal impairment measured as an eGFR \\\u003C 30 mL\u002Fmin\u002F1.73 m2 at inclusion\n* Alanine aminotransferase (ALT) or alkaline phosphatase (APT) level \\\u003C 3.0 x the upper limit of normal (ULN)for the reference range\n* Total bilirubin level \\>1.5 x the ULN for the reference range\n* History of an active or untreated malignancy or are in remission from a clinically significant malignancy for less than 5 years\n* Previous organ transplantation or awaiting an organ transplant\n* Pregnancy or breastfeeding","ALL","45 Years",{"count":141,"type":142},1200,"ESTIMATED","OBSERVATIONAL","The study is aimed at patients who suffer from severe obesity and receive a computerised tomography (CT) scan of the heart. A total of 1200 patients across Europe are to take part in the study. It is a multi-centre, controlled, open, randomised study. As part of the study, a citizen app will be installed on a smartphone for randomly selected study participants. A fitness tracker will also be issued so that certain parameters, such as heart rate and daily number of steps, can be recorded.",[146],"Acute Cardiovascular Disease",[148],"Obesity, Heart CT, Artificial Intelligence","2024-09-10",{"date":151,"type":152},"2024-09-19","ACTUAL",{"date":154,"type":152},"2024-07-01",{"date":156,"type":142},"2028-07",{"name":5,"class":6},6]