Clinical trial Recruiting at 3 sites Observational Ages 45 and up

Validation of AI tools for obese patients with heart disease

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

Run by University Hospital, Bonn · NCT06595134 · Data updated 2026-11-12

This study is testing if new AI tools can help track heart health in obese patients with heart disease who are getting a cardiac CT scan.

More Cardiovascular Disease trials

Quick facts

Study typeObservational
Ages45 Years and up
SexAll
Enrollment1200 (estimated)
SponsorUniversity Hospital, Bonn
Academic / other
Locations6 sites (Vienna and 5 other locations)
StatusRecruiting
StartedJuly 1, 2024
Main results expectedJuly 2028
Study endsJuly 2028
Registry record updatedSeptember 19, 2024
Trial IDNCT06595134 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are obese individuals aged 45 and older with a BMI of 30 kg/m2 or higher and suspected cardiovascular disease.

Probably not a fit

Patients with recent severe cardiovascular events or uncontrolled diabetes and hypertension may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study focuses on obese patients with suspected cardiovascular disease who are scheduled for a cardiac CT scan. A total of 1200 participants across multiple centers in Europe will undergo baseline and follow-up cardiac CT scans over two years. The study will collect extensive clinical and laboratory data, and half of the participants will use a citizen app and fitness tracker to monitor their health metrics. The aim is to validate AI instruments designed to assess cardiovascular risk in this population.

Why it matters

Potential benefit: If successful, this study could enhance the management and treatment of obese patients at risk for cardiovascular disease through improved risk assessment and monitoring.

How similar studies have gone: Similar studies utilizing AI for cardiovascular risk assessment have shown promise, indicating potential for success in this novel approach.

Who can join: the full rules

Show full inclusion / exclusion 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

Where it's running

  • University Hospital Pilsen
    Pilsen, Czechia
    Recruiting
  • University Hospital Bonn
    Bonn, North Rhine-Westphalia, Germany
    Recruiting
  • University Hospital Mannheim
    Mannheim, Germany
    Recruiting
  • Medical University Vienna
    Vienna, Austria
    Not yet recruiting
  • University Hospital Leuven
    Leuven, Belgium
    Not yet recruiting
  • University Hospital Zürich
    Zurich, Switzerland
    Not yet recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.