Serum Markers of Neurodegeneration Are Strongly Linked to Heart Failure Severity and Outcome.


Journal

JACC. Heart failure
ISSN: 2213-1787
Titre abrégé: JACC Heart Fail
Pays: United States
ID NLM: 101598241

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 27 10 2023
revised: 28 02 2024
accepted: 05 03 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: ppublish

Résumé

Cognitive impairment is prevalent in patients with heart failure with reduced ejection fraction (HFrEF), affecting self-care and outcomes. Novel blood-based biomarkers have emerged as potential diagnostic tools for neurodegeneration. This study aimed to assess neurodegeneration in HFrEF by measuring neurofilament light chain (NfL), total tau (t-tau), amyloid beta 40 (Aβ40), and amyloid beta 42 (Aβ42) in a large, well-characterized cohort. The study included 470 patients with HFrEF from a biobank-linked prospective registry at the Medical University of Vienna. High-sensitivity single-molecule assays were used for measurement. Unplanned heart failure (HF) hospitalization and all-cause death were recorded as outcome parameters. All markers, but not the Aβ42:Aβ40 ratio, correlated with HF severity, ie, N-terminal pro-B-type natriuretic peptide and NYHA functional class, and comorbidity burden and were significantly associated with all-cause death and HF hospitalization (crude HR: all-cause death: NfL: 4.44 [95% CI: 3.02-6.53], t-tau: 5.04 [95% CI: 2.97-8.58], Aβ40: 3.90 [95% CI: 2.27-6.72], and Aβ42: 5.14 [95% CI: 2.84-9.32]; HF hospitalization: NfL: 2.48 [95% CI: 1.60-3.85], t-tau: 3.44 [95% CI: 1.95-6.04], Aβ40: 3.13 [95% CI: 1.84-5.34], and Aβ42: 3.48 [95% CI: 1.93-6.27]; P < 0.001 for all). These associations remained statistically significant after multivariate adjustment including N-terminal pro-B-type natriuretic peptide. The discriminatory accuracy of NfL in predicting all-cause mortality was comparable to the well-established risk marker N-terminal pro-B-type natriuretic peptide (C-index: 0.70 vs 0.72; P = 0.225), whereas the C-indices of t-tau, Aβ40, Aβ42, and the Aβ42:Aβ40 ratio were significantly lower (P < 0.05 for all). Neurodegeneration is directly interwoven with the progression of HF. Biomarkers of neurodegeneration, particularly NfL, may help identify patients potentially profiting from a comprehensive neurological work-up. Further research is necessary to test whether early diagnosis or optimized HFrEF treatment can preserve cognitive function.

Sections du résumé

BACKGROUND BACKGROUND
Cognitive impairment is prevalent in patients with heart failure with reduced ejection fraction (HFrEF), affecting self-care and outcomes. Novel blood-based biomarkers have emerged as potential diagnostic tools for neurodegeneration.
OBJECTIVES OBJECTIVE
This study aimed to assess neurodegeneration in HFrEF by measuring neurofilament light chain (NfL), total tau (t-tau), amyloid beta 40 (Aβ40), and amyloid beta 42 (Aβ42) in a large, well-characterized cohort.
METHODS METHODS
The study included 470 patients with HFrEF from a biobank-linked prospective registry at the Medical University of Vienna. High-sensitivity single-molecule assays were used for measurement. Unplanned heart failure (HF) hospitalization and all-cause death were recorded as outcome parameters.
RESULTS RESULTS
All markers, but not the Aβ42:Aβ40 ratio, correlated with HF severity, ie, N-terminal pro-B-type natriuretic peptide and NYHA functional class, and comorbidity burden and were significantly associated with all-cause death and HF hospitalization (crude HR: all-cause death: NfL: 4.44 [95% CI: 3.02-6.53], t-tau: 5.04 [95% CI: 2.97-8.58], Aβ40: 3.90 [95% CI: 2.27-6.72], and Aβ42: 5.14 [95% CI: 2.84-9.32]; HF hospitalization: NfL: 2.48 [95% CI: 1.60-3.85], t-tau: 3.44 [95% CI: 1.95-6.04], Aβ40: 3.13 [95% CI: 1.84-5.34], and Aβ42: 3.48 [95% CI: 1.93-6.27]; P < 0.001 for all). These associations remained statistically significant after multivariate adjustment including N-terminal pro-B-type natriuretic peptide. The discriminatory accuracy of NfL in predicting all-cause mortality was comparable to the well-established risk marker N-terminal pro-B-type natriuretic peptide (C-index: 0.70 vs 0.72; P = 0.225), whereas the C-indices of t-tau, Aβ40, Aβ42, and the Aβ42:Aβ40 ratio were significantly lower (P < 0.05 for all).
CONCLUSIONS CONCLUSIONS
Neurodegeneration is directly interwoven with the progression of HF. Biomarkers of neurodegeneration, particularly NfL, may help identify patients potentially profiting from a comprehensive neurological work-up. Further research is necessary to test whether early diagnosis or optimized HFrEF treatment can preserve cognitive function.

Identifiants

pubmed: 38839151
pii: S2213-1779(24)00256-7
doi: 10.1016/j.jchf.2024.03.005
pii:
doi:

Substances chimiques

Biomarkers 0
Amyloid beta-Peptides 0
Peptide Fragments 0
tau Proteins 0
Neurofilament Proteins 0
neurofilament protein L 0
Natriuretic Peptide, Brain 114471-18-0
pro-brain natriuretic peptide (1-76) 0
amyloid beta-protein (1-42) 0
amyloid beta-protein (1-40) 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1073-1085

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Funding Support and Author Disclosures This project was funded by an unrestricted grant of the Austrian Cardiac Society (Österreichische Kardiologische Gesellschaft). The authors have reported that they have no relationships relevant to the contents of this paper to declare.

Auteurs

Raphael Wurm (R)

Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.

Suriya Prausmüller (S)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Markus Ponleitner (M)

Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.

Georg Spinka (G)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Annika Weidenhammer (A)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Henrike Arfsten (H)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Gregor Heitzinger (G)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Noel Gilian Panagiotides (NG)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Guido Strunk (G)

Complexity Research, Vienna, Austria.

Philipp Bartko (P)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Georg Goliasch (G)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Elisabeth Stögmann (E)

Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.

Christian Hengstenberg (C)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Martin Hülsmann (M)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria. Electronic address: martin.huelsmann@meduniwien.ac.at.

Noemi Pavo (N)

Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH