GDF-15 at admission predicts cardiovascular death, heart failure, and bleeding outcomes in patients with CAD.
Biomarker
Clinical outcomes
Coronary artery disease
Growth differentiation factor 15
Prognostic value
Journal
ESC heart failure
ISSN: 2055-5822
Titre abrégé: ESC Heart Fail
Pays: England
ID NLM: 101669191
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
revised:
01
06
2023
received:
23
01
2023
accepted:
04
07
2023
pubmed:
25
8
2023
medline:
25
8
2023
entrez:
24
8
2023
Statut:
ppublish
Résumé
We aimed to investigate the independent associations between growth differentiation factor 15 (GDF-15) level at admission and cardiovascular (CV) death, thrombotic events, heart failure (HF), and bleeding outcomes in patients with coronary artery disease (CAD). We measured the plasma concentrations of GDF-15 centrally in patients from the BIomarker-based Prognostic Assessment for patients with Stable angina and acute coronary Syndrome (BIPass) registry, which consecutively enrolled patients with CAD from November 2017 to September 2019 at five tertiary hospitals in China. The outcomes included CV death, thrombotic events [myocardial infarction (MI) and ischaemic stroke], HF events [acute HF during hospitalization and hospitalization for HF post-discharge (A/H HF) and cardiogenic shock], and bleeding outcomes [non-coronary artery bypass grafting-related major bleeding and clinically significant bleeding (CSB)] during the 12 month follow-up period after hospitalization. Among 6322 patients with CAD {65.4% male, median age 63.7 [inter-quartile range (IQR)] 56.0-70.1 years}, the median concentration of plasma GDF-15 at admission was 1091 (IQR 790.5-1635.0) ng/L. Higher concentrations of GDF-15 were associated with an increased risk of CV death [hazard ratio (HR) 1.98, 95% confidence interval (CI) 1.35-2.88, P < 0.001], A/H HF (HR 2.69, 95% CI 1.92-3.77, P < 0.001), cardiogenic shock (HR 1.46, 95% CI 1.04-2.05, P = 0.029), and CSB (HR 1.48, 95% CI 1.22-1.79, P < 0.001), but not for MI or stroke, after adjusting for clinical risk factors and prognostic biomarkers. Adding GDF-15 to the model with risk factors and biomarkers improved the net reclassification for CV death, A/H HF, cardiogenic shock, and CSB. In patients with CAD, admission levels of GDF-15 were associated with an increased 1 year risk of CV death, HF, and bleeding outcomes, but not with thrombotic events. GDF-15 may be a prognostic biomarker for CV death, HF, and bleeding outcomes and could be used to refine the risk assessment of these specific clinical outcomes. ClinicalTrials.gov Identifier: NCT04044066.
Identifiants
pubmed: 37620152
doi: 10.1002/ehf2.14484
pmc: PMC10567639
doi:
Banques de données
ClinicalTrials.gov
['NCT04044066']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3123-3132Subventions
Organisme : National Key Research and Development Program of China
ID : 2020YFC1512700
Organisme : National Key Research and Development Program of China
ID : 2020YFC1512705
Organisme : National Key Research and Development Program of China
ID : 2020YFC1512703
Organisme : National Science and Technology Fundamental Resources Investigation Project
ID : 2018FY100600
Organisme : National Science and Technology Fundamental Resources Investigation Project
ID : 2018FY100602
Organisme : Key Research and Development Program of Shandong Province
ID : 2021ZLGX02
Organisme : Key Research and Development Program of Shandong Province
ID : 2021SFGC0503
Organisme : Taishan Pandeng Scholar Program of Shandong Province
ID : tspd20181220
Organisme : Taishan Young Scholar Program of Shandong Province
ID : tsqn20161065
Organisme : Taishan Young Scholar Program of Shandong Province
ID : tsqn201812129
Organisme : Youth Top-Talent Project of National Ten Thousand Talents Plan and Qilu Young Scholar Program
Organisme : ECCM Program of Clinical Research Center of Shandong University
ID : 2021SDUCRCA005
Informations de copyright
© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.
Références
Eur Heart J. 2009 Oct;30(19):2346-53
pubmed: 19561023
Cell Tissue Res. 2004 Nov;318(2):325-33
pubmed: 15459768
Eur Heart J. 2009 May;30(9):1057-65
pubmed: 19168526
Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12
pubmed: 17569110
Clin Chem. 2017 Jan;63(1):140-151
pubmed: 28062617
Circulation. 2014 Nov 4;130(19):1676-83
pubmed: 25274000
Circulation. 2007 Feb 27;115(8):962-71
pubmed: 17283261
Circulation. 2007 Oct 2;116(14):1540-8
pubmed: 17848615
Eur Heart J. 2016 Apr 21;37(16):1325-33
pubmed: 26417057
J Am Coll Cardiol. 2021 May 18;77(19):2432-2447
pubmed: 33985688
ESC Heart Fail. 2023 Oct;10(5):3123-3132
pubmed: 37620152
PLoS One. 2013 Dec 02;8(12):e78797
pubmed: 24312445
Clin Chem. 2017 Jan;63(1):325-333
pubmed: 27811204
Lancet Reg Health West Pac. 2022 May 30;25:100479
pubmed: 35664511
Biometrics. 1988 Sep;44(3):837-45
pubmed: 3203132
Lancet. 2017 Sep 16;390(10100):1211-1259
pubmed: 28919117
Nat Med. 2011 May;17(5):581-8
pubmed: 21516086
EBioMedicine. 2019 Mar;41:85-90
pubmed: 30772304
Circulation. 2006 Sep 12;114(11):1202-13
pubmed: 16966596
Arterioscler Thromb Vasc Biol. 2011 Jan;31(1):203-10
pubmed: 20966402
JAMA Cardiol. 2021 Apr 1;6(4):410-419
pubmed: 33404627
Eur Heart J. 2018 Jan 14;39(3):213-260
pubmed: 28886622
J Am Coll Cardiol. 2016 May 17;67(19):2224-2234
pubmed: 27079334
Lancet. 2016 Jun 4;387(10035):2302-2311
pubmed: 27056738
Circ Res. 2006 Feb 17;98(3):351-60
pubmed: 16397141
Circulation. 2014 Nov 18;130(21):1847-58
pubmed: 25294786
Circulation. 2011 May 17;123(19):2101-10
pubmed: 21536998
Curr Opin Cardiol. 2018 Sep;33(5):535-539
pubmed: 29994808
Heart Fail Rev. 2014 Aug;19(4):453-70
pubmed: 25062653
Clin Chem. 2007 Feb;53(2):284-91
pubmed: 17185363
Circ Cardiovasc Genet. 2009 Jun;2(3):286-92
pubmed: 20031597