Heart-Type Fatty Acid Binding Protein, Cardiovascular Outcomes, and Death: Findings From the German CKD Cohort Study.

Biomarkers cardiac death cardiac diseases cardiovascular disease (CVD) chronic kidney disease (CKD) heart failure heart type fatty acid binding protein (H-FABP) high-sensitivity troponin T (hs-TNT) kidney diseases prognosis renal function

Journal

American journal of kidney diseases : the official journal of the National Kidney Foundation
ISSN: 1523-6838
Titre abrégé: Am J Kidney Dis
Pays: United States
ID NLM: 8110075

Informations de publication

Date de publication:
10 2022
Historique:
received: 14 07 2021
accepted: 05 01 2022
pubmed: 16 3 2022
medline: 28 9 2022
entrez: 15 3 2022
Statut: ppublish

Résumé

Heart-type fatty acid binding protein (H-FABP) is a biomarker that has been shown to provide long-term prognostic information in patients with coronary artery disease independently of high-sensitivity troponin T (hs-TNT). We examined the independent associations of H-FABP with cardiovascular outcomes in patients with chronic kidney disease (CKD). Prospective cohort study. 4,951 patients enrolled in the German Chronic Kidney Disease (GCKD) study with an estimated glomerular filtration rate of 30-60 mL/min/1.73 m Serum levels of H-FABP and hs-TNT were measured at study entry. Noncardiovascular (non-CV) death, CV death, combined major adverse CV events (MACE), and hospitalization for congestive heart failure (CHF). Hazard ratios (HRs) for associations of H-FABP and hs-TNT with outcomes were estimated using Cox regression analyses adjusted for established risk factors. During a maximum follow-up of 6.5 years, 579 non-CV deaths, 190 CV deaths, 522 MACE, and 381 CHF hospitalizations were observed. In Cox regression analyses adjusted for established risk factors, H-FABP was associated with all 4 outcomes, albeit with lower HRs than those found for hs-TNT. After further adjustment for hs-TNT levels, H-FABP was found to be associated with non-CV death (HR, 1.57 [95% CI, 1.14-2.18]) and MACE (HR, 1.40 [95% CI, 1.02-1.92]) but with neither CV death (HR, 1.64 [95% CI, 0.90-2.99]) nor CHF hospitalizations (HR, 1.02 [95% CI, 0.70-1.49]). Single-point measurements of H-FABP and hs-TNT. Uncertain generalizability to non-European populations. In this large cohort of patients with CKD, H-FABP was associated with non-CV death and MACE, even after adjustment for hs-TNT. Whether measurement of H-FABP improves cardiovascular disease risk prediction in these patients warrants further studies.

Identifiants

pubmed: 35288215
pii: S0272-6386(22)00526-1
doi: 10.1053/j.ajkd.2022.01.424
pii:
doi:

Substances chimiques

Albumins 0
Biomarkers 0
Fatty Acid Binding Protein 3 0
Troponin T 0
Creatinine AYI8EX34EU

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

483-494.e1

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N025083/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R017468/1
Pays : United Kingdom

Investigateurs

Mario Schiffer (M)
Hans-Ulrich Prokosch (HU)
Barbara Bärthlein (B)
Andreas Beck (A)
André Reis (A)
Arif B Ekici (AB)
Susanne Becker (S)
Dinah Becker-Grosspitsch (D)
Ulrike Alberth-Schmidt (U)
Birgit Hausknecht (B)
Anke Weigel (A)
Gerd Walz (G)
Anna Köttgen (A)
Ulla T Schultheiß (UT)
Fruzsina Kotsis (F)
Simone Meder (S)
Erna Mitsch (E)
Ursula Reinhard (U)
Elke Schaeffner (E)
Seema Baid-Agrawal (S)
Kerstin Theisen (K)
Hermann Haller (H)
Jan Menne (J)
Martin Zeier (M)
Claudia Sommerer (C)
Johanna Theilinger (J)
Gunter Wolf (G)
Rainer Paul (R)
Antje Börner-Klein (A)
Britta Bauer (B)
Julia Raschenberger (J)
Barbara Kollerits (B)
Lukas Forer (L)
Sebastian Schönherr (S)
Hansi Weissensteiner (H)
Peter Oefner (P)
Wolfram Gronwald (W)

Informations de copyright

Copyright © 2022 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Auteurs

Markus P Schneider (MP)

Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany. Electronic address: Markus.Schneider@uk-erlangen.de.

Matthias Schmid (M)

Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany.

Jennifer Nadal (J)

Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany.

Christoph Wanner (C)

Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany.

Vera Krane (V)

Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany.

Jürgen Floege (J)

Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.

Turgay Saritas (T)

Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.

Martin Busch (M)

Department of Internal Medicine III, University Hospital Jena, Friedrich-Schiller Universität, Jena, Germany.

Thomas Sitter (T)

Department of Nephrology, University Hospital, Ludwig-Maximilians-Universität München, München, Germany.

Nele Friedrich (N)

Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany.

Helena Stockmann (H)

Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Heike Meiselbach (H)

Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Matthias Nauck (M)

Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany.

Florian Kronenberg (F)

Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria.

Kai-Uwe Eckardt (KU)

Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.

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Classifications MeSH