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NCT Number: NCT06595134

AI-POD Clinical Validation Study for Obese Patients

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.

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Key information

Age range

45 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Medical University Vienna, Vienna, Austria

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About this study

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.

Who can participate

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Non Interventional

Other

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 outcomes

  1. 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)

    Change in plaque volume

  2. 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)

    Change in plaque com-position/CAC

  3. 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)

    Change in luminal stenosis

Secondary outcomes

  1. 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

    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

  2. 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

    Change in systolic blood pressure (mmHg)

  3. 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

    Change in diastolic blood pressure (mmHg)

  4. 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

    Change in pulse rate

  5. 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

    Change in body weight (Kgs)

  6. 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

    Change in fat mass (BIA); weight and height will be combined to report BMI in kg/m^2

  7. 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

    Change in waist circumference (cm)

  8. 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

    Change in HbA1c

  9. 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

    Change in total cholesterol, LDL, HDL, hsCRP, transaminases

  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

    MACE (Major Adverse Cardiac Event)

Study contacts

Contact information is provided by the study sponsor or research team.

Ulrike Attenberger, Prof. Dr.

CONTACT

[email protected]

+43 (0)140400-48930

Wiebke Fenske, Prof. Dr.

CONTACT

[email protected]

0234 302 6400

Sponsors and collaborators

Lead sponsor

University Hospital, Bonn

Other

Collaborators

  • European Union

Registry information

Official study title

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

Acronym: AI-POD

Important dates

Study start
2024
Primary completion
2028
Study completion
2028
First posted
Sep 19, 2024
Registry last updated
Sep 19, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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