Plain-English translation of NCT05028686 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Heart Failure research guide →Researchers are working to better predict which heart failure patients are at risk of being readmitted to the hospital. They'll collect blood samples, ask you about your symptoms and quality of life, and track your vital signs like heart rate and blood pressure to build computer models that can forecast health changes before they happen.
Right now, doctors don't have reliable ways to predict which heart failure patients will need to go back to the hospital. This study aims to close that gap by combining blood test results, patient feedback, and home monitoring data with artificial intelligence to catch problems earlier.
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You'll be asked to provide a blood sample and answer questions about your symptoms and overall well-being. After you leave the hospital, you'll track simple daily measurements like your weight, heart rate, and blood pressure at home, likely using a smartphone app or monitoring device. Researchers will follow your health status over time to see if their prediction models can identify when you might be at risk of needing hospital care again.
AI-generated summary from trial data · Jul 1, 2026 · Not medical advice
Canada
Sponsor
Institute for Clinical Evaluative Sciences
Collaborators
Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre
Enrollment target
~500 participants
Started
February 2019
Primary completion
September 2024
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 105 Years
Last updated on clinicaltrials.gov in September 2021.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Douglas S Lee, MD, PhD
Institute for Clinical Evaluative Sciences
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.