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Life sciences · Observational Study
ClinicalTrials.gov · October 2, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Observational Study.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
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Registry record from ClinicalTrials.gov (NCT07367841). This is a study registration, not published results. Lead sponsor: University of Leeds. Recruitment status: ENROLLING_BY_INVITATION. Study type: OBSERVATIONAL. Enrollment: 475 participants (ESTIMATED). Conditions: Heart Failure. Interventions: DIAGNOSTIC_TEST: FIND HF algorithm. Primary outcome measures: To determine whether detection rates of a composite of asymptomatic LVSD, HFrEF, HFmREF, or HFpEF during diagnostics are higher amongst participants identified as high FIND-HF risk compared to those identified as low risk , Through study completion, an average of 12 months from date of enrolment. Brief summary: 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: * 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.