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.
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
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
430
AI-derived biomarker-guided treatment algorithm to assist the treating HF professional in treatment decision
Standard treatment of care for HF
University Medical Center Groningen
Groningen, Netherlands
Leiden University Medical Center
Leiden, Netherlands
Maastricht University Medical Center
Maastricht, Netherlands
Erasmus Medical Center
Rotterdam, Netherlands
Clinical benefit
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
Time frame: 9 months
Time to death from any cause
time to the first (re)hospitalization due to disease progression
Time frame: 9 months (the number of days/months from randomization to the date of death)
Time to first (re)-hospitalization due to heart failure
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 all-cause hospitalization
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 cardiovascular (CV) mortality
Time to cardiovascular (CV) mortality
Time frame: 9 months (the number of days/months from randomization to the date of CV death)
Change in QoL
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.)
Time frame: 9 months
Change in NT-proBNP
Change in NT-proBNP (pg/mL)
Time frame: 9 months
Change in clinical congestion score
Change in clinical congestion score (CCS). The higher the score the worst congestion is
Time frame: 9 months
Change in eGFR
Change in eGFR (mL/min/1.73 m²)
Time frame: 9 months
GDMT at 9 month
Guideline directed Medical Therapy
Time frame: 9 months
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