Using a risk tool to find people with undiagnosed heart failure
Tests whether a risk tool spots hidden heart failure in at-risk adults.
Key facts
- Who runs it
- University of Leeds
- Where
- Leeds, United KingdomSee the site
- Trial code
- Registry title
- FIND HF Risk-guided Screening for Heart Failure - Pilot Study
- Status
- Enrolling by invitation
- People taking part
- 475 people, planned
- Started
- 24 Sept 2026
- Expected to end
- Oct 2028
- Type of study
- Observational
- Treatments tested
- FIND HF algorithm
- Record updated
- 2 October 2026
Who can take part
AI summary
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults aged 40 or older who are at risk of heart failure that has not been found yet. They attend one clinic visit for a blood test and a heart scan.
- Age
- 40 years or older
- Sex
- All sexes
- Disease stage
- People identified as at risk of developing heart failure, without a known heart failure diagnosis
Main reasons for not taking part
- Known diagnosis of heart failure
- On the palliative care register
- Unable to give written informed consent
- Unable to follow the study requirements
- Registered with a doctor practice that is taking part in research on heart failure screening
The registry criteria, word for word
Show all 6 criteriaShow less
Who can take part
- Registered with a doctor practice that uses electronic health system to record patient medical notes Age at enrolment greater or equal to 40 Identified as at risk of developing Heart Failure
Who cannot take part
- Registered with a doctor practice that is participating in research studies relating to heart failure screening
- Known diagnosis of HF
- On the palliative care register
- Unable to give written informed consent for participation in the study
- Unable to adhere to the study requirements
Where in United Kingdom
- University of LeedsLeeds, United KingdomEnrolling by invitation
About the trial
What the trial wants to find out
The goal of this clinical trial is to learn if the FIND HF algorithm detection rates of heart failure during testing are higher amongst participants identified as high FIND-HF risk compared to those identified as low risk in a population identified as at risk of undiagnosed heart failure. The main questions it aims to answer are:
Read full original descriptionShow less
* Are people who are identified as high risk by the FIND-HF tool more likely to be diagnosed with heart problems during testing than those identified as low risk? * Are people identified as high risk by the FIND-HF tool more likely to show signs of heart problems during testing than those identified as low risk?? Researchers will compare patients in the high risk and low risk groups to see if more patients are detected with asymptomatic heart failure in the high risk group compared to the low risk group.
Participants will attend one visit at a local clinic where they will undergo an NT proBNP blood test which indicates heart failure and an echocardiogram to evaluate the heart's chambers, valves and overall function to help diagnose various heart conditions.
The group in the trial
- Patients at risk of developing Heart Failure
Patients will attend one visit with a Cardiology specialist Clinical research fellow who will carry out tests to detect Heart Failure
Treatment: FIND HF algorithm
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- FIND HF: Risk-guided Screening for Heart Failure
- Plain-language title
- Using a risk tool to find people with undiagnosed heart failureGenerated from the registry record. The registry title is the official one.
- AI summary
- From the trial's eligibility criteria. Read by machine on 12 November 2026.
- Record updated
- 2 October 2026