PREcision meDICine in Treatment in CardioVascular Disease (PREDICT-CVD)

April 16, 2026 updated by: Maastricht University Medical Center

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.

Study Overview

Detailed Description

The PREDICT-CVD is a prospective, randomized controlled, open label, multinational trial, in which patients with HF will be randomized to either the control arm or the intervention arm. The control arm is the standard of care and the intervention arm is where an AI-derived biomarker-guided treatment algorithm will be applied, to assist the treating professional in treatment decision. Assessment of the primary endpoint will be at the 9 month onsite follow-up visit, further long-term outcomes will be collected via telephone visits every 6 months until the last subject has completed the 9 month onsite follow-up.

The main objective is to demonstrate that a personalized, AI-derived biomarker-guided medication treatment algorithm that provides advice to the treating HF professional is superior to prevent clinical events and improve quality of life (QoL) when compared to patients receiving standard treatment of care.

The primary outcome of the trial is a clinical benefit, defined as a hierarchical composite of death from any cause, number of heart failure events and or a greater difference in change from baseline in the Kansas City Cardiomyopathy Questionnaire Total Symptom Score at 9 months, as assessed using a win ratio.

The expected duration for patients will be between 9 and max 24 months from the moment of enrollment. From 9 months onwards patients will be contacted by phone every 6 months and information regarding (HF) events and concomitant medication will be collected.

Study Type

Interventional

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Groningen, Netherlands
        • University Medical Center Groningen
      • Leiden, Netherlands
        • Leiden University Medical Center
      • Maastricht, Netherlands
        • Maastricht University Medical Center
      • Rotterdam, Netherlands
        • Erasmus Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Provide written and dated informed consent for participation prior to trial admission,
  2. Age ≥18 years, female or male
  3. Diagnosis of heart failure* either before discharge of a heart failure hospital admission or in the outpatient setting,
  4. Symptomatic, defined as NYHA class II - IV,
  5. LVEF < 50% measured in the last 12 months (using any modality), with no occurrence of HF event(s) since that measurement) and
  6. Those not previously treated with evidence-based therapies or sub-optimally treated with GDMT defined as; • Not treated with one of the foundational four** HF medication unless absolute contraindication or documented intolerance

    • Definition of heart failure according to the most recent Heart Failure Guidelines of the European Society of Cardiology

      • Foundational four heart failure medication: BBs, ARNi, MRAs and SGLT2i. NB. This does not include ACE and ARBs these are permitted.

Exclusion Criteria:

  1. Inability to understand and sign informed consent,
  2. Scheduled or on renal replacement therapy,
  3. Clearly documented intolerance to BBs, ARNI, SGLT2i or MRAs
  4. Diagnosis of acute myocarditis or (non)obstructive hypertrophic cardiomyopathy,
  5. The presence of a mechanical assist device,
  6. Scheduled for mechanical assist device or heart transplant,
  7. Acute coronary syndrome (ACS) in the past 3 months or current angina pectoris ≥class III,
  8. Requiring valvular surgery or revascularization in the upcoming 3 months or revascularization within the past 3 months,
  9. Anticipated need for surgery or any cardiovascular intervention, except implantable cardioverter defibrillator and/or cardiac resynchronization therapy, within 4 weeks,
  10. Other non-cardiac conditions with limited life expectancy (≤ duration of the trial/ 1 year),
  11. Participation in another (intervention) clinical trial (registry studies not included) until the onsite EoS visit (V5) at 9 months has been completed.
  12. Women who are pregnant, breastfeeding or may be considering pregnancy during the study duration.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Standard of Care
Standard treatment for HF
Standard treatment of care for HF
Experimental: Intervention
AI algorithm to assist the treating HF professional in treatment decision
AI-derived biomarker-guided treatment algorithm to assist the treating HF professional in treatment decision

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical benefit
Time Frame: 9 months
Hierarchical composite of death from any cause, number of heart failure events and or a greater difference in change from baseline in the Kansas City Cardiomyopathy Questionnaire Total Symptom Score, as assessed using a win ratio
9 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to death from any cause
Time Frame: 9 months (the number of days/months from randomization to the date of death)
time to the first (re)hospitalization due to disease progression
9 months (the number of days/months from randomization to the date of death)
Time to first (re)-hospitalization due to heart failure
Time Frame: 9 months (the number of days/months from randomization to the date of first (re)-hospitalization due to heart failure)
Time to first (re)-hospitalization due to heart failure
9 months (the number of days/months from randomization to the date of first (re)-hospitalization due to heart failure)
Time to all-cause hospitalization
Time Frame: 9 months (the number of days/months from randomization to the date of all cause hospitalization).
Time to all-cause hospitalization
9 months (the number of days/months from randomization to the date of all cause hospitalization).
Time to cardiovascular (CV) mortality
Time Frame: 9 months (the number of days/months from randomization to the date of CV death)
Time to cardiovascular (CV) mortality
9 months (the number of days/months from randomization to the date of CV death)
Change in QoL
Time Frame: 9 months
Change in QoL according to the KCCQ-TSS (change from baseline in KCCQ-TSS score, measured in points, with higher scores indicating better health status.)
9 months
Change in NT-proBNP
Time Frame: 9 months
Change in NT-proBNP (pg/mL)
9 months
Change in clinical congestion score
Time Frame: 9 months
Change in clinical congestion score (CCS). The higher the score the worst congestion is
9 months
Change in eGFR
Time Frame: 9 months
Change in eGFR (mL/min/1.73 m²)
9 months
GDMT at 9 month
Time Frame: 9 months
Guideline directed Medical Therapy
9 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

February 1, 2026

Primary Completion (Estimated)

March 1, 2028

Study Completion (Estimated)

June 1, 2028

Study Registration Dates

First Submitted

December 31, 2025

First Submitted That Met QC Criteria

January 26, 2026

First Posted (Actual)

January 27, 2026

Study Record Updates

Last Update Posted (Actual)

April 17, 2026

Last Update Submitted That Met QC Criteria

April 16, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • PREDICT-CVD
  • No 101112022 (Other Grant/Funding Number: Innovative Health Initiative Joint Undertaking (IHI JU))
  • No 10088702 (Other Grant/Funding Number: UK Research and Innovation (UKRI))
  • NL 009912 (Other Identifier: Overzicht van Medisch-wetenschappelijk Onderzoek in Nederland (OMON))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

not decided at this time yet

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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