Diagnosis of Diastolic Heart Failure with NT-proBNP

20 January, 2025

Heart failure (HF) is a clinical condition caused by structural and/or functional abnormalities of the heart. Increased filling pressure in the heart´s left ventricle (LV) indicates diastolic dysfunction. The golden standard for diagnosis is the measurement of LV end-diastolic pressure (LVEDP) obtained through cardiac catheterization. However, this procedure is invasive. The objective of the following study was to explore the relationship between LVEDP and cardiac serum biomarkers, including including N-terminal prohormone B-type natriuretic peptide (NT-proBNP) and soluble ST2.

Natriuretic peptides and soluble ST2 improves echocardiographic diagnosis of elevated left ventricular filling pressures. Călburean Paet al., Sci Rep. 2024 Sep 27;14(1):22171. doi: 10.1038/s41598-024-73349-0. PMID: 39333652; PMCID: PMC11436802.

Abstract

Elevated filling pressure of the left ventricle (LV) defines diastolic dysfunction. The gold standard for diagnosis is represented by the measurement of LV end-diastolic pressure (LVEDP) during cardiac catheterization, but it has the disadvantage of being an invasive procedure. This study aimed to investigate the correlation between LVEDP and cardiac serum biomarkers such as natriuretic peptides (mid-regional pro-atrial natriuretic peptide [MR-proANP], B-type natriuretic peptide [BNP], and N-terminal prohormone BNP [NT-proBNP]), soluble ST2 (sST2), galectin-3 and mid-regional pro-adrenomedullin (MR-proAMD). Consecutive patients hospitalized in a tertiary center and undergoing left cardiac catheterization were included in the study. Diastolic dysfunction was considered present if the end-expiratory LVEDP was ≥ 15 mmHg. Cardiac biomarkers were determined from pre-procedural peripheral venous blood samples. A total of 110 patients were included, of whom 76 (69.0%) were males, with a median age of 65 (55-71) years. Median LVEDP was 13.5 (8-19) mmHg and diastolic dysfunction was present in 50 (45.4%) of the patients. LVEDP correlated with BNP (p < 0.0001, r = 0.39 [0.20-0.53]), NT-proBNP (p < 0.0001, r = 0.40 [0.22-0.55]), MR-proANP (p = 0.001, r = 0.30 [0.11-0.46]), sST2 (p < 0.0001, r = 0.47 [0.30-0.60]), but not with MR-proAMD (p = 0.77) or galectin-3 (p = 0.76). In the final stepwise multivariable binary logistic regression model, diastolic dysfunction was predicted by NT-proBNP, mitral average E/e’, sST2, atrial fibrillation, and left atrium reservoir strain. BNP, NT-proBNP, MR-proANP, and sST2 had predictive value for diastolic dysfunction. In contrast, galectin-3 and MR-proAMD were not associated with increased filling pressures. Furthermore, NT-proBNP and sST2 significantly improved diastolic dysfunction prediction in the final multivariable mode.