Norepinephrine, plasma renin activity and cardiovascular mortality in systolic heart failure.

biomarkers heart failure systolic

Journal

Heart (British Cardiac Society)
ISSN: 1468-201X
Titre abrégé: Heart
Pays: England
ID NLM: 9602087

Informations de publication

Date de publication:
26 May 2021
Historique:
received: 08 12 2020
revised: 12 02 2021
accepted: 12 02 2021
medline: 14 3 2021
pubmed: 14 3 2021
entrez: 13 3 2021
Statut: epublish

Résumé

We analysed the circulating levels and prognostic value of N-terminal pro-B-type natriuretic peptide (NT-proBNP), norepinephrine (NE), epinephrine (E), plasma renin activity (PRA) and aldosterone in patients with systolic heart failure (HF) receiving therapies that target the sympathetic system and the renin-angiotensin-aldosterone axis. We retrieved data from consecutive HF outpatients with left ventricular ejection fraction (LVEF) <50% and available neurohormones, evaluated at a tertiary referral centre for HF from 1999 to 2016. Patients (n=1477) were aged 66±13 years, 75% were men, median LVEF was 32% (IQR 25-38), 77% had LVEF <40% and 44% ischaemic HF. At the time of sampling, 69% were on beta-blockers, 75% on ACE inhibitors/angiotensin receptor blockers and 48% on mineralocorticoid receptor antagonists vs 88%, 87% and 66%, respectively, after therapy optimisation. Median NT-proBNP, NE, E, PRA and aldosterone were 1441 ng/L, 494 ng/L, 30 ng/L, 1.2 ng/mL/hour and 130 ng/dL, respectively. Over a 4.8-year follow-up (2.4-8.2), 376 patients died from cardiovascular causes (26%). NT-proBNP and PRA predicted cardiovascular mortality after adjusting for all other univariable predictors. The risk of cardiovascular death increased by 8% or 7% per each doubling of PRA in 2 models considering therapies at the time of sampling or after therapy optimisation. PRA improved metrics of reclassification and discrimination, and independently predicted outcome even in the LVEF <40% subgroup. In patients with HF with LVEF <50% or <40%, PRA shows independent prognostic significance from a model that includes NT-proBNP, and might represent an additive tool for risk stratification.

Identifiants

pubmed: 33712509
pii: heartjnl-2020-318791
doi: 10.1136/heartjnl-2020-318791
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

989-995

Informations de copyright

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Alberto Aimo (A)

Fondazione Toscana Gabriele Monasterio, Pisa, Italy albertoaimo@libero.it.
Scuola Superiore Sant'Anna, Pisa, Italy.

Concetta Prontera (C)

Fondazione Toscana Gabriele Monasterio, Pisa, Italy.

Claudio Passino (C)

Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Scuola Superiore Sant'Anna, Pisa, Italy.

Michele Emdin (M)

Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Scuola Superiore Sant'Anna, Pisa, Italy.

Giuseppe Vergaro (G)

Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Scuola Superiore Sant'Anna, Pisa, Italy.

Classifications MeSH