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.
The clinical validation study of the AI-POD instruments (risk score, CDSS, Citizen App) is designed as a prospective, multicentre observational study. Obese patients (BMI \>30 kg/m2) with suspected CVD who are scheduled for a cardiac CT scan (consisting of calcium scoring and coronary CT angiography) will be included in the study. This clinically indicated cardiac CT scan will serve as a baseline examination, and a second cardiac CT scan will be performed after a follow-up period of 2 years. Both cardiac CT examinations will be performed on a photon-counting CT system (PCCT). In addition to the CT data, clinical data (anthropometry and physical parameters such as body weight, height, age, gender, BMI, waist circumference, waist-to-hip ratio, body impedance analysis, cardiovascular risk factors, medication, previous interventions and operations) will be collected, symptoms and results of echocardiography to determine left ventricular function) as well as laboratory data on (subclinical) inflammation (hsCRP, leukocytes, monocyte activation), lipid disorders (HDL, LDL, total cholesterol, triacylglycerides), glucose homeostasis (HbA1c, fasting glucose, HOMA index), liver and kidney function (creatinine, GFR, GOT/ALAT, GPT/ASAT) are collected at a total of 5 visits over 2 years. Half of all included patients will also be randomised to receive access to the Citizen app and a separate fitness tracker device to record the following data: Activity data such as step count, heart rate, height, weight, gender, age, waist circumference circumference, nutritional data such as calorie intake, nicotine, alcohol, sleep.
Study Type
OBSERVATIONAL
Enrollment
1,200
Screening (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)
Medical University Vienna
Vienna, Austria
NOT_YET_RECRUITINGUniversity Hospital Leuven
Leuven, Belgium
NOT_YET_RECRUITINGUniversity Hospital Pilsen
Pilsen, Czechia
RECRUITINGAn improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in plaque volume
Time frame: Between Visit 1 and Visit 5 (Day 0 and Month 24)
An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in plaque com-position/CAC
Time frame: Between Visit 1 and Visit 5 (Day 0 and Month 24)
An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score
Change in luminal stenosis
Time frame: Between Visit 1 and Visit 5 (Day 0 and Month 24)
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
Time frame: After 2 Years
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)
Time frame: After 2 Years
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)
Time frame: After 2 Years
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
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University Hospital Bonn
Bonn, North Rhine-Westphalia, Germany
RECRUITINGUniversity Hospital Mannheim
Mannheim, Germany
RECRUITINGUniversity Hospital Zürich
Zurich, Switzerland
NOT_YET_RECRUITINGChange in pulse rate
Time frame: After 2 Years
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 body weight (Kgs)
Time frame: After 2 Years
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 fat mass (BIA); weight and height will be combined to report BMI in kg/m\^2
Time frame: After 2 Years
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 waist circumference (cm)
Time frame: After 2 Years
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 HbA1c
Time frame: After 2 Years
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 total cholesterol, LDL, HDL, hsCRP, transaminases
Time frame: After 2 Years
To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App
MACE (Major Adverse Cardiac Event)
Time frame: After 2 Years