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Biomarkers in Patients With Suspected HFpEF

Biomarkers in Patients With Suspected Heart Failure With Preserved Ejection Fraction

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06101693
Acronym
BIOPEF
Enrollment
1028
Registered
2023-10-26
Start date
2023-02-02
Completion date
2026-09-29
Last updated
2024-02-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Failure, Heart Failure With Preserved Ejection Fraction, Obesity

Brief summary

NT-proBNP does not adequately identify HF(pEF) in people with suspected HF at low levels, particularly in patients with obesity. This study will investigate: 1. alternative cut-offs for NT-proBNP to identify HF(pEF) in people with suspected HF and obesity 2. novel candidate biomarkers to identify HF(pEF) in people with suspected HF and obesity. 3. novel candidate biomarkers to identify HF(pEF) in people with suspected HF and NT-proBNP \<125 ng/L 4. the prevalence of HF in people with suspected HF and low NT-proBNP \<125 ng/L)

Detailed description

This will be a prospective observational, non-randomised study of patients in primary care with suspected HF. Detection of HFpEF in people without obesity is well-served by NT-proBNP. In contrast, NT-proBNP does not perform well when used to detect HFpEF in populations with obesity. There is increasing evidence that some people with low levels of NT-proBNP can have HF. As many as 50% of people with obesity and HFpEF (detected by elevated filling pressures) have NT-proBNP \<125 ng/L. Some patients with HFpEF who are not obese can also have low natriuretic peptides levels. Delayed diagnosis can lead to adverse outcomes for patients, in particular presentation acutely to secondary care. In addition to this, some patients with HFpEF who are not obese can also have low natriuretic peptides levels. Patients with NTproBNP levels performed in the community for stable symptoms of suspected heart failure will be invited to participate. Assessments in this study will include clinical history and examination, patient-reported outcome measures, electrocardiography, echocardiography and biomarker (blood and urine) analysis. Heart failure diagnostic scores and clinical evaluation by heart failure experts will be used to make a clinical diagnosis of heart failure, and to correlate this with levels of plasma and urine biomarkers, both established and novel. Patients will be followed up passively (for a minimum of 10 years) using record linkage for subsequent hospitalisations or deaths.

Interventions

This study will investigate the diagnostic utility and performance of: 1. Alternative cut-offs for NT-proBNP to identify HF(pEF) in people with suspected HF and obesity, in whom 2. Novel candidate biomarkers to identify HF(pEF) in people with suspected HF and obesity. 3. Novel candidate biomarkers to identify HF(pEF) in people with suspected HF and NT-proBNP \<125 ng/L 4. The prevalence of HF in people with suspected HF and low NT-proBNP \<125 ng/L). The diagnosis of heart failure will be determined according to international guidelines, when there are symptoms and/or signs of HF in association with objective evidence of cardiac structural and/or functional abnormalities consistent with the presence of LV diastolic dysfunction/raised LV filling pressures. Non-invasive testing with rest and diastolic stress echocardiography will be used to evaluate for evidence of raised filling pressures, in order to make the study procedures applicable to usual clinical practice.

Sponsors

University of Glasgow
CollaboratorOTHER
Roche Diagnostics GmbH
CollaboratorINDUSTRY
NHS Greater Glasgow and Clyde
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Written informed consent * Age ≥ 18 years * NT-proBNP sample taken by primary care physician as part of routine care for suspected heart failure

Exclusion criteria

* Unable to consent to inclusion in study due to significant cognitive impairment * Geographical/ social reasons preventing attending study centre * Unable to complete study assessments * Patients presenting with acute HF or a previous diagnosis of HF

Design outcomes

Primary

MeasureTime frameDescription
Optimal cut-offs for NT-proBNP to identify HFPEF in obese patients with suspected heart failure3 yearsTo determine the utility and diagnostic performance of alternative cut-offs for NT-proBNP or combinations of biomarkers (including novel biomarker solutions)- with clinical variables to identify HFpEF in obese patients with suspected heart failure. (New biomarkers will be used for observational purposes only.)

Secondary

MeasureTime frameDescription
Prevalence of HF in patients with NT-proBNP<125ng/L3 yearsTo identify the prevalence of HF in patients with NT-proBNP \<125 ng/L with and without obesity, and suspected HF.
Optimal cut-offs for biomarkers to identify HFPEF in patients with suspected HF.3 yearsTo determine the utility and diagnostic performance of alternative cut-offs for NT-proBNP or combinations of biomarkers (including novel biomarker solutions) with clinical variables to identify HFpEF in patients (with and without obesity) and suspected HF.
Utility and diagnostic performance of biomarkers (novel and adjusted stratified cut-offs) in patients with suspected HF (HFPEF, HFmREF, HFREF).3 yearsTo determine the utility and diagnostic performance of novel biomarkers, adjusted N-terminal pro-B-type natriuretic peptide (NT-proBNP) cut-offs or combinations of biomarkers with clinical variables in patients with suspected HF (HFpEF, HFmrEF, HFrEF). (New biomarkers will be used for observational purposes only.)

Countries

United Kingdom

Contacts

Primary ContactRoss Campbell, MBChB
ross.campbell@glasgow.ac.uk01413302418
Backup ContactMark Petrie, MBChB
mark.petrie@glasgow.ac.uk0141 330 2427

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026