PREcision meDICine in Treatment in CardioVascular Disease
NCT07369141 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL
Last updated 2026-04-17
Summary
The main goal of PREDICT-CVS is to demonstrate that a personalized, AI-derived biomarker-guided medication treatment algorithm that provides advice to the treating professional is superior to prevent clinical events and improve quality of life (QoL) when compared to patients receiving standard treatment of care.
Participants will be randomized into two groups
* Group 1 - Standard treatment Participant will receive the usual treatment for heart failure, based on current medical guidelines.
* Group 2 - AI-supported treatment The professional will receive a personalized treatment plan generated by the AI program. This plan is based on medical information and biomarkers. The professional can choose whether or not to follow the AI's advice, reasons for not following the AI-based advice will be collected.
Participants will visit the outpatient clinic at 1, 2, 3 and 9 months after being randomized.
Conditions
- Chronic Heart Failure
- Acute Decompensated Heart Failure
Interventions
- OTHER
-
ASSIST-HF AI- algorithm
AI-derived biomarker-guided treatment algorithm to assist the treating HF professional in treatment decision
- OTHER
-
Standard of Care (Investigator Choice)
Standard treatment of care for HF
Sponsors & Collaborators
-
University Medical Center Groningen
collaborator OTHER -
Maastricht University
collaborator OTHER -
Maastricht University Medical Center
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-02-28
- Primary Completion
- 2028-03-31
- Completion
- 2028-06-30
Countries
- Netherlands
Study Locations
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