About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age greater than or equal to 45 years at the time of signing informed consent
BMI greater than or equal to 30 kg/m2
Patients with suspected CVD (>15% pretest probability [ESC guidelines]), referred for cardiac CT examinations (consisting of coronary calcium scoring and coronary CT angiography)
Informed consent of the patient
Disqualifiers
Any of the following CV conditions within 2 months prior to study inclusion: myocardial infarction, stroke,
Hospitalization for unstable angina pectoris or transient ischemic attack or due to congestive heart failure.
Planned coronary, carotid, or peripheral artery revascularisation known on the day of inclusion
Presently classified NYHA IV heart failure
Trial population
Obese patients (BMI \>30 kg/m2) with suspected CVD and scheduled for a cardiac CT examination (consisting of calcium scoring and coronary CT angiography).
Trial design
Cohort
Prospective
Treatments tested in this trial
Non Interventional
Other interventionScreening (Day -7 to Day -1) Visit 1 (Day 0) Visit 2 (Month 3 +/- 7 days) Visit 3 (Month 6 +/- 7 days) Visit 4 (Month 12 +/- 7 days) Visit 5 (Month 24 +/- 7 days) Visit 6 (Month 60 +/- 30 days; end of study)
Treatment groups
Trial outcomes
Primary outcomes
An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in plaque volume
An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in plaque com-position/CAC
An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in luminal stenosis
Secondary outcomes
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
Time-to-first occurrence of HbA1c greater than or equal to 48 mmol/mol (6.5%) for subjects with screening HbA1c \< 6.5 mmol/mol at study inclusion
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
Change in systolic blood pressure (mmHg)
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
Change in diastolic blood pressure (mmHg)
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
Change in pulse rate
Sponsors and contacts
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University Hospital, Bonn
Lead sponsor
European Union
Collaborator