BNP and NT-proBNP Thresholds for the Assessment of Prognosis in Patients Without Heart Failure.

brain natriuretic peptides general population cohort nonheart failure cohorts risk stratification thresholds

Journal

JACC. Advances
ISSN: 2772-963X
Titre abrégé: JACC Adv
Pays: United States
ID NLM: 9918419284106676

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 30 01 2023
revised: 06 09 2023
accepted: 25 09 2023
medline: 28 6 2024
pubmed: 28 6 2024
entrez: 28 6 2024
Statut: epublish

Résumé

Brain natriuretic peptide (BNP)/N-terminal-pro hormone brain natriuretic peptides (NT-proBNP) enable risk stratification, diagnosing, and monitoring of heart failure patients. An additional prognostic value for BNP/NT-proBNP in nonheart failure patients and general population cohorts is described in the literature, but specific cut-off levels are only described for heart failure patients. This study aimed to determine thresholds for risk stratification in nonheart failure patients. Based on the Essen Coronary Artery Disease registry we excluded patients with known heart failure or elevated BNP/NT-pro BNP levels. The resulting cohort was divided into a derivation and validation cohort using random sampling. The prognostic value of BNP/NT-proBNP of incident mortality was evaluated in the derivation cohort using univariate and multivariable cox regression analysis. In receiver operating characteristic analysis and corresponding area under the curve the optimal threshold was determined using Youdens J index. The findings were verified in the validation cohort. A total of 3,690 patients (age 62.9 ± 12.5 years, 71% male, 68% patients with coronary artery disease) were included. During a mean follow-up of 2.6 ± 3.4 years (median 1.2 [IQR: 0.4-2.88]), 169 deaths of any cause occurred. Based on Youden's J index, BNP-thresholds of 9.6 and 29pg/ml and NT-proBNP thresholds of 65 and 77pg/ml for men and women, respectively, were determined. BNP/NT-proBNP levels above these thresholds were associated with increased mortality in the derivation cohort (HR: 2.44 [95% CI: 1.32-4.53], We here describe sex-specific BNP/NT-proBNP thresholds that allow prediction of impaired survival in patients without heart failure, independent of traditional cardiovascular risk factors.

Sections du résumé

Background UNASSIGNED
Brain natriuretic peptide (BNP)/N-terminal-pro hormone brain natriuretic peptides (NT-proBNP) enable risk stratification, diagnosing, and monitoring of heart failure patients. An additional prognostic value for BNP/NT-proBNP in nonheart failure patients and general population cohorts is described in the literature, but specific cut-off levels are only described for heart failure patients.
Objectives UNASSIGNED
This study aimed to determine thresholds for risk stratification in nonheart failure patients.
Methods UNASSIGNED
Based on the Essen Coronary Artery Disease registry we excluded patients with known heart failure or elevated BNP/NT-pro BNP levels. The resulting cohort was divided into a derivation and validation cohort using random sampling. The prognostic value of BNP/NT-proBNP of incident mortality was evaluated in the derivation cohort using univariate and multivariable cox regression analysis. In receiver operating characteristic analysis and corresponding area under the curve the optimal threshold was determined using Youdens J index. The findings were verified in the validation cohort.
Results UNASSIGNED
A total of 3,690 patients (age 62.9 ± 12.5 years, 71% male, 68% patients with coronary artery disease) were included. During a mean follow-up of 2.6 ± 3.4 years (median 1.2 [IQR: 0.4-2.88]), 169 deaths of any cause occurred. Based on Youden's J index, BNP-thresholds of 9.6 and 29pg/ml and NT-proBNP thresholds of 65 and 77pg/ml for men and women, respectively, were determined. BNP/NT-proBNP levels above these thresholds were associated with increased mortality in the derivation cohort (HR: 2.44 [95% CI: 1.32-4.53],
Conclusions UNASSIGNED
We here describe sex-specific BNP/NT-proBNP thresholds that allow prediction of impaired survival in patients without heart failure, independent of traditional cardiovascular risk factors.

Identifiants

pubmed: 38938478
doi: 10.1016/j.jacadv.2023.100688
pii: S2772-963X(23)00693-2
pmc: PMC11198633
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100688

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

Dr Jehn was supported as a Junior Clinician Scientist within the University Medicine Essen Academy (UMEA) funded by the Faculty of Medicine, 10.13039/501100008349University of Duisburg-Essen. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Auteurs

Stefanie Jehn (S)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Amir A Mahabadi (AA)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Christian Pfohl (C)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Lukas Vogel (L)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Fadi Al-Rashid (F)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Peter Luedike (P)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Matthias Totzeck (M)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Tienush Rassaf (T)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Iryna Dykun (I)

Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Hospital Essen, Essen, Germany.

Classifications MeSH