FIND HF
Research type
Research Study
Full title
FIND HF: Risk-guided screening for heart failure
IRAS ID
355272
Contact name
R Nadarajah
Contact email
Sponsor organisation
University of Leeds
Clinicaltrials.gov Identifier
Duration of Study in the UK
9 years, 8 months, 1 days
Research summary
Heart failure (HF) is most often detected late, when it has caused hospitalisation, in spite of most patients having previously presented with symptoms of HF in primary care. There are now an unparalleled range of treatments for patients with HF, and so early detection may reduce morbidity and mortality for patients and reduce costly hospitalisations for the NHS. We have developed a machine learning algorithm that can be implemented at scale in primary care to identify patients at risk of undiagnosed HF (FIND-HF). In this study we will invite patients at a range of FIND-HF scores and without a diagnosis of HF, to attend for symptom assessment, point-of-care natriuretic peptide testing and echocardiography at a local clinical community site. We will assess the yield of undiagnosed HF for patients at different FIND-HF risk scores, as well as how their treatment can be improved for newly detected HF cases. This pilot study is designed to inform a larger randomised clinical trial of FIND-HF-guided community-based early detection and treatment of HF to prevent HF hospitalisation and death.
REC name
North East - Newcastle & North Tyneside 2 Research Ethics Committee
REC reference
26/NE/0047
Date of REC Opinion
16 Apr 2026
REC opinion
Further Information Favourable Opinion