Using blood tests and AI to predict heart failure readmissions
Part of Heart & circulation clinical trials.
This study looks at hospital and emergency patients with heart failure and uses “omics” (advanced lab data from the body) plus statistics and artificial intelligence to predict who is likely to return to the hospital soon. If it works, it could help doctors better plan follow-up care to reduce repeat hospital visits.
Summary written for real people, not researchers, by Clin2.
Who can take part
- Be 18 years or older and either admitted to the hospital or seen in the emergency department
- You must have been diagnosed with heart failure by the study’s methods (including Framingham criteria and/or a BNP blood test)
- Your BNP blood test must be above 100 (100–400 counts as “possible” and above 400 counts as “definite” heart failure)
- You can (or someone can) provide informed consent to join the study
- You must live in Ontario (not another province/country)
- You must plan to go home after discharge (not to a skilled nursing facility/long-term care)
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
Similar studies
Other trials that look related to this one.
This trial uses machine learning to analyze data from a smartwatch to predict how heart failure progresses. It may help doctors better understand your condition and tailor treatments.
This trial will follow people with heart failure who are admitted to the hospital to see who returns within 30 and 90 days. It aims to understand how to reduce future hospital visits.
This trial tests a multidisciplinary care approach aimed at helping people with high risk for heart failure get diagnosed earlier. It may help you catch heart failure sooner if it starts, so treatment can begin earlier.
This study tests a new way to find people who might develop heart failure early, using electronic health records. If you are at risk, screening could help start care sooner and prevent serious problems.
This trial uses a smartphone app to record sounds from your chest and breathing. An AI system will analyze these sound patterns to predict when heart failure symptoms might get worse, so you can get help sooner.
This study tests a new way to manage heart failure through regular outpatient clinic visits and remote monitoring, aiming to reduce hospital readmissions and improve quality of life. It compares the new ambulatory care model with standard care to see if it helps patients stay healthier at home.
Hear when a new Heart failure trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.