• Heart · Feb 2020

    Multicenter Study Comparative Study

    Mid-regional proatrial natriuretic peptide for predicting prognosis in hypertrophic cardiomyopathy.

    • Céline Bégué, Stellan Mörner, Dulce Brito, Christian Hengstenberg, ClelandJohn G FJGFRobertson Institute of Biostatistics and Clinical Trials Unit, University of Glasgow, UK.Royal Brompton and Harefield Hospitals, Imperial College, London, UK., Eloisa Arbustini, Enrique Galve, Thomas Wichter, Anette Richter, Jean-Louis Golmard, Maguy Bernard, Olivier Dubourg, Michel Komajda, Philippe Charron, and Richard Isnard.
    • Département de Cardiologie, Hopital Pitié-Salpêtrière, APHP, Paris, France.
    • Heart. 2020 Feb 1; 106 (3): 196-202.

    ObjectivesN-terminal probrain natriuretic peptide (NT-proBNP) predicts mortality and the development of heart failure in hypertrophic cardiomyopathy (HCM). Mid-regional proatrial natriuretic peptide (MR-proANP) is a stable by-product of production of atrial natriuretic peptide. We sought to compare the prognostic value of MR-proANP and NT-proBNP in HCM.MethodsWe prospectively enrolled a cohort of patients with HCM from different European centres and followed them. All patients had clinical, ECG and echocardiographic evaluation and measurement of MR-proANP and NT-proBNP at inclusion.ResultsOf 357 patients enrolled, the median age was 52 (IQR: 36-65) years. MR-proANP and NT-proBNP were both independently associated with age, weight, New York Heart Association (NYHA) class, left ventricular ejection fraction (LVEF), wall thickness and left atrial dimension. During a median follow-up of 23 months, 32 patients had a primary end point defined as death (n=6), heart transplantation (n=8), left ventricular assist device implantation (n=1) or heart failure hospitalisation (n=17). Both NT-proBNP and MR-proANP (p<10-4) were strongly associated with the primary endpoint, and the areas under the receiver operating characteristic (ROC) curves for both peptides were not significantly different. However, in a multiple stepwise regression analysis, the best model for predicting outcome was NYHA 1-2 vs 3-4 (HR=0.35, 95% CI 0.16 to 0.77, p<0.01), LVEF (HR=0.96, 95% CI 0.94 to 0.98, p=0.0005) and MR-proANP (HR=3.77, 95% CI 2.01 to 7.08, p<0.0001).ConclusionsMR-proANP emerges as a valuable biomarker for the prediction of death and heart failure related events in patients with HCM.© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

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