NCT07187700

Brief Summary

Introduction: Peripheral arterial disease (PAD) and abdominal aortic aneurysm (AAA) are vascular conditions associated with significant morbidity and mortality, with 25% of AAA patients and 23% of PAD patients being at a high risk of developing cardiovascular disease. Cardiovascular risk management can reduce the risk of major adverse cardiovascular events in AAA patients from 43% to 14%. However, cardiovascular risk is not always adequately addressed in these patients. The VASCUL-AID-PRO study aims to deliver clinically relevant prediction models using artificial intelligence and machine learning of patient outcomes to enable personalized management of vascular disease. Method: VASCUL-AID-PRO is a multi-centre international prospective cross-sectional study aiming to include 500 AAA patients and 600 PAD patients across 6 European centres. The aim is to achieve a follow-up time up to 4 years. The study will include individuals aged 40-90 with either an abdominal aortic aneurysm (infrarenal, juxtarenal, pararenal, or suprarenal abdominal aortic aneurysm) or Fontaine stage 2 peripheral arterial disease. The VASCUL-AID-PRO study will gather a variety of data from all participants, including clinical data, blood and tissue samples, cardiovascular lab values, imaging data, electrocardiograms, data from wearables and quality of life. This data gathered will be used to further develop the multi model prediction models being developed on 5000 AAA and 6000 PAD patients included in the currently ongoing VASCUL-AID-RETRO study, with the aim of providing a clinically relevant prediction models of disease progression and other cardiovascular disease for AAA and PAD patients. Furthermore, the models developed in the VASCUL-AID studies will be internally validated using a subset of patients from the VASCUL-AID-PRO study. Ethical considerations: Ethical and legal considerations are paramount throughout the VASCUL-AID project. To address these concerns, an ELSI framework will be developed and integrated into all stages of the project. This framework will be continuously updated to ensure alignment with evolving ethical, legal, and social standards. This framework will specifically focus on patient safety, data handling, AI regulation and implementation, and potential biases associated with AI.

Trial Health

65
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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,100

participants targeted

Target at P75+ for all trials

Timeline
56mo left

Started Sep 2025

Longer than P75 for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress13%
Sep 2025Dec 2030

First Submitted

Initial submission to the registry

August 13, 2025

Completed
19 days until next milestone

Study Start

First participant enrolled

September 1, 2025

Completed
22 days until next milestone

First Posted

Study publicly available on registry

September 23, 2025

Completed
4.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2030

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2030

Last Updated

September 23, 2025

Status Verified

September 1, 2025

Enrollment Period

5 years

First QC Date

August 13, 2025

Last Update Submit

September 19, 2025

Conditions

Keywords

Abdominal aortic aneurysmperipheral arterial diseaseartificial intelligencecardiovascular riskprediction modelsdisease progression

Outcome Measures

Primary Outcomes (1)

  • Development and internal validation of AI-driven tools to predict high or low risk disease progression in AAA and PAD.

    The VASCUL-AID AI tools aim to predict AAA (rupture, mortality, cerebrovascular accident) and PAD (mortality, myocardial infarction, major amputation) progression, MACE and MALE. The internal validation is done by comparing the predicted disease progression, MACE, MALE and mortality rates with actual disease progression.

    From baseline to 4 years follow-up.

Secondary Outcomes (14)

  • Accuracy of developed VASCUL-AID driven algorithms that classify AAA patients according to high or low risk disease progression.

    From baseline to 4 years follow-up

  • Accuracy of developed VASCUL-AID driven algorithms that classify PAD patients according to high or low risk disease progression.

    From baseline to 4 years follow-up

  • Patient reported outcome measures for AAA and PAD.

    From baseline to 4 years follow-up.

  • Patient reported outcome measures for health-related quality of life.

    From baseline to 4 year follow-up.

  • Patient reported outcome measures for health-related quality of life.

    From baseline to 4 year follow-up

  • +9 more secondary outcomes

Study Arms (2)

AAA

* Males/females between 40 and 90 years of age. * Males and females with AAA at inclusion, any diameter \>3 cm (or 1.5x larger than their non-dilated part of the aorta). * Include: infrarenal, juxtarenal, pararenal, suprarenal abdominal aortic aneurysms. Without prior AAA surgery or or planned AAA surgery within 6 months after inclusion.

PAD

* Males/females between 40 and 90 years of age. * Patients with peripheral arterial disease stage Fontaine 2a and 2b at inclusion. Medical history (e.g. CLTI) does not matter, current disease stage is leading at inclusion.

Eligibility Criteria

Age40 Years - 90 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

A total of 100 AAA patients and 100 PAD will be included per clinical center, with exeption for Asklepios Hamburg, they will solely include 100 PAD patients. This comes to a total of 1100 patients across 6 clinical centers in Europe.

You may qualify if:

  • Males/females between 40 and 90 years of age.
  • Include: infrarenal, juxtarenal, pararenal, suprarenal abdominal aortic aneurysms.

You may not qualify if:

  • Patients with:
  • Insufficient schooling or sensorial deficits that interfere understanding informed consent.
  • Not able to use the VASCUL-AID mobile health app (that will be provided in Dutch, English, German, Portuguese, Serbian, Finish, Swedish languages).
  • Proven or highly suspected for infected, mycotic AAA
  • Previous AAA surgery or planned for an AAA surgery within 6 months
  • Ruptured AAA
  • Males/females between 40 and 90 years of age.
  • Patients with:
  • Insufficient schooling or sensorial deficits that interfere understanding informed consent.
  • Not able to use the VASCUL-AID mobile health app (provided in Dutch, English, German, Portuguese, Serbian, Finnish, Swedish languages).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

Whole blood, blood plasma, aorta tissue

MeSH Terms

Conditions

Peripheral Arterial DiseaseAortic Aneurysm, AbdominalDisease Progression

Condition Hierarchy (Ancestors)

AtherosclerosisArteriosclerosisArterial Occlusive DiseasesVascular DiseasesCardiovascular DiseasesPeripheral Vascular DiseasesAortic AneurysmAneurysmAortic DiseasesDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Prof. Dr. K.K. Yeung, MD, PhdD, FEBVS

    Amsterdam UMC

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Tim P Crone, Master of Science

CONTACT

Luc D Busé, Bachelor of Science

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
4 Years
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Prof. Dr.

Study Record Dates

First Submitted

August 13, 2025

First Posted

September 23, 2025

Study Start

September 1, 2025

Primary Completion (Estimated)

September 1, 2030

Study Completion (Estimated)

December 1, 2030

Last Updated

September 23, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will share

Patient data will be pseudoanonymised and recorded in an eCRF provided in the web-based app, a secured central data system conform EU GDPR guidelines hosted by Brightfish B.V. (certified: ISO 27001, NEN751-012, ISC121, ISO9001:2015; QSC808). The collected data consists of heart-rate data, blood pressure values, clinical questionnares, medical records, medical imaging, blood samples for proteomics, lipidomics and genomics analyses results, demographics.

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
The data sharing agreement was signed by all parties in August 2024 and shall remain in force for the period of the Project, unless terminated earlier
Access Criteria
All partners in the VASCUL-AID consortium through the Brightfish system and through XNAT for medical imaging.