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Recruiting NCT06595134

AI-POD Clinical Validation Study for Obese Patients

Observational Acute Cardiovascular Disease

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Non Interventional.
Who it may be relevant to
Registry conditions: Acute Cardiovascular Disease. Basic parameters: from 45 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Austria, Belgium, Czechia, Germany, Switzerland
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

AI for the Prediction of Obesity-Related Vascular Diseases - Validation Study

Overview

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.

Detailed description

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.

Interventions

  • Other Non Interventional
    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)

Primary outcome measures

  • An improved accuracy in prediction of CVD progression by us-ing the AI-POD risk score [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 [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 [Time frame: Between Visit 1 and Visit 5 (Day 0 and Month 24)]
Secondary outcome measures (10)
  • To validate the Citizen App, to assess the improvement of AI-POD risk score Accuracy and feasibility of collecting data with citizen App [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 [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 [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 [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 [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 [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 [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 [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 [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 [Time frame: After 2 Years]

Eligibility criteria

Inclusion criteria

  • 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

Exclusion criteria

  • 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
  • Having uncontrolled diabetes mellitus (HbA1c ≥ 11%) at day of inclusion
  • Having uncontrolled hypertension (SBP ≥ 160 mmHg and/or DBP ≥ 100 mmHg) as measured at inclusion
  • Having severe renal impairment measured as an eGFR < 30 mL/min/1.73 m2 at inclusion
  • Alanine aminotransferase (ALT) or alkaline phosphatase (APT) level < 3.0 x the upper limit of normal (ULN)for the reference range
  • Total bilirubin level >1.5 x the ULN for the reference range
  • History of an active or untreated malignancy or are in remission from a clinically significant malignancy for less than 5 years
  • Previous organ transplantation or awaiting an organ transplant
  • Pregnancy or breastfeeding

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Study design

Observational model
Cohort

Study locations

Germany · 2 centers
  • University Hospital Bonn — Bonn
  • University Hospital Mannheim — Mannheim
Austria · 1 center
  • Medical University Vienna — Vienna
Belgium · 1 center
  • University Hospital Leuven — Leuven
Czechia · 1 center
  • University Hospital Pilsen — Pilsen
Switzerland · 1 center
  • University Hospital Zürich — Zurich

Identifiers

NCT: NCT06595134 · 310/23-EP

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗