Could a simple algorithm spot silent heart failure before it strikes?

NCT ID NCT07367841

Not yet recruiting Diagnosis Sponsor: University of Leeds Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a new risk algorithm (FIND HF) can better detect undiagnosed heart failure in people at risk. About 475 adults aged 40+ will have a blood test and heart ultrasound. Researchers will compare how many high-risk vs low-risk people are found to have heart problems.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: FIND HF algorithm (diagnostic test)
What this could lead to: If successful, this could provide a simple, risk-based screening method to catch heart failure earlier in people who don't yet have symptoms.
What could go wrong: This is a small, early-stage study (475 participants) that only tests detection rates, not long-term outcomes. The algorithm may not work as well in broader populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEART FAILURE

More trials for these conditions

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