Heart failure & cardiomyopathies
A new protein panel for the diagnosis of HFpEF: combining machine-learning and liquid-chromatography mass-spectrometry proteomics
Performance · Diagnostic accuracy for HFpEFResult — go to the resultNet Reclassification Index 1.57 95% CI 1.26–1.83Authors' conclusion
We identified a protein combination with higher specificity than NT-proBNP for diagnosing HFpEF. Integrating these biomarkers into clinical practice could improve HFpEF diagnosis and management, although external validation is required before clinical implementation.
Study context
- Population
- Patients with symptomatic HFpEF (LVEF ≥50%) from BIOSTAT-CHF and control subjects without heart failure from the PREVEND studypatients with symptomatic HFpEF (BIOSTAT-CHF) 249 · control subjects without heart failure (PREVEND) 99
- Index test or model
- Combined biomarker model compared to NT-proBNP for diagnosing HFpEF
- Target condition
- heart failure with a preserved left ventricular ejection fraction (HFpEF)
Methodological detailstechnical validation using the SomaScan 7K assay
- Technical validation using the SomaScan 7K assay
Performance
As reported in the abstract
Net Reclassification Index
1.57
95% CI 1.26–1.83
By group
NT-proBNP
- Specificity
- 73%
- AUC
- 0.96
Combined biomarker model
- Specificity
- 91%
- Sensitivity
- 97%
- AUC
- 0.99
Specificity
NT-proBNP73%
Combined biomarker model91%
AUC
NT-proBNP0.96
Combined biomarker model0.99
Sensitivity
NT-proBNP— not stated in the abstract
Combined biomarker model97%
Further findings
Baseline characteristics
Median age HFpEF patients 77 years · Non-HF controls 75 years
Median LVEF HFpEF patients 59%
Median plasma NT-proBNP HFpEF patients 1056 pg/mL · Non-HF controls 77 pg/mL
Female
Protein profiles
- Differentially abundant proteins
- 211
- Principal component analysis showed a clear distinction between the protein profiles of patients with HFpEF versus controls
- Two strongly downregulated proteins (TMP4 and YWHAZ) identified as biomarker candidates
Original publication
A new protein panel for the diagnosis of HFpEF: combining machine-learning and liquid-chromatography mass-spectrometry proteomics. ESC Heart Fail. Published 9 July 2026. doi:10.
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