Association of circulating cardiac biomarkers with electrocardiographic abnormalities in chronic kidney disease.

Atrial Fibrillation Biomarkers Cross-Sectional Studies Heart Failure Humans Natriuretic Peptide, Brain Peptide Fragments Renal Insufficiency, Chronic / diagnosis
cardiac biomarkers cardiovascular disease chronic kidney disease myocardial conduction

Journal

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
ISSN: 1460-2385
Titre abrégé: Nephrol Dial Transplant
Pays: England
ID NLM: 8706402

Informations de publication

Date de publication:
02 12 2021
Historique:
received: 25 06 2020
pubmed: 29 12 2020
medline: 20 1 2022
entrez: 28 12 2020
Statut: ppublish

Résumé

Among patients with chronic kidney disease (CKD), the circulating cardiac biomarkers soluble ST2 (SST2), galectin-3, growth differentiation factor-15 (GDF-15), N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin-T (hsTnT) possibly reflect pathophysiologic processes and are associated with clinical cardiovascular disease. Whether these biomarkers are associated with electrocardiographic findings is not known. The aim of this study was to test the association between serum cardiac biomarkers and the presence of electrocardiographic changes potentially indicative of subclinical myocardial disease in patients with CKD. We performed a cross-sectional analysis using 3048 participants from the Chronic Renal Insufficiency Cohort (CRIC) without atrial fibrillation, atrioventricular block, bundle branch block or a pacemaker at the baseline visit. Using logistic regression, we tested the association of each of the five cardiac biomarkers with baseline electrocardiogram (ECG) findings: PR interval >200 ms, QRS interval >100 ms and a prolonged QTc interval. Models were adjusted for demographic variables, measures of kidney function, prevalent cardiovascular disease and cardiovascular risk factors. In adjusted models, hsTnT levels associated with prolonged PR {odds ratio [OR] 1.23 [95% confidence interval (CI) 1.08-1.40]}, QRS [OR 1.28 (95% CI 1.16-1.42)] and QTc [OR 1.94 (95% CI 1.50-2.51)] intervals. NT-proBNP levels were associated with prolonged QRS [OR 1.11 (95% CI 1.06-1.16)] and QTc [OR 1.82 (95% CI 1.58-2.10)] intervals. SST2, galectin-3 and GDF-15 were not significantly associated with any of the ECG parameters. hsTnT and NT-proBNP were associated with ECG measures indicative of subclinical myocardial dysfunction. These results may support future research investigating the significance of myocardial ischemia and volume overload in the pathogenesis of dysfunctional myocardial conduction in CKD.

Sections du résumé

BACKGROUND
Among patients with chronic kidney disease (CKD), the circulating cardiac biomarkers soluble ST2 (SST2), galectin-3, growth differentiation factor-15 (GDF-15), N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin-T (hsTnT) possibly reflect pathophysiologic processes and are associated with clinical cardiovascular disease. Whether these biomarkers are associated with electrocardiographic findings is not known. The aim of this study was to test the association between serum cardiac biomarkers and the presence of electrocardiographic changes potentially indicative of subclinical myocardial disease in patients with CKD.
METHODS
We performed a cross-sectional analysis using 3048 participants from the Chronic Renal Insufficiency Cohort (CRIC) without atrial fibrillation, atrioventricular block, bundle branch block or a pacemaker at the baseline visit. Using logistic regression, we tested the association of each of the five cardiac biomarkers with baseline electrocardiogram (ECG) findings: PR interval >200 ms, QRS interval >100 ms and a prolonged QTc interval. Models were adjusted for demographic variables, measures of kidney function, prevalent cardiovascular disease and cardiovascular risk factors.
RESULTS
In adjusted models, hsTnT levels associated with prolonged PR {odds ratio [OR] 1.23 [95% confidence interval (CI) 1.08-1.40]}, QRS [OR 1.28 (95% CI 1.16-1.42)] and QTc [OR 1.94 (95% CI 1.50-2.51)] intervals. NT-proBNP levels were associated with prolonged QRS [OR 1.11 (95% CI 1.06-1.16)] and QTc [OR 1.82 (95% CI 1.58-2.10)] intervals. SST2, galectin-3 and GDF-15 were not significantly associated with any of the ECG parameters.
CONCLUSIONS
hsTnT and NT-proBNP were associated with ECG measures indicative of subclinical myocardial dysfunction. These results may support future research investigating the significance of myocardial ischemia and volume overload in the pathogenesis of dysfunctional myocardial conduction in CKD.

Identifiants

DOI: 10.1093/ndt/gfaa296 PMID: 33367652 PMC: PMC8826765
pubmed: 33367652
pii: 6050593
doi: 10.1093/ndt/gfaa296
pmc: PMC8826765
doi:

Substances chimiques

Biomarkers 0
Peptide Fragments 0
Natriuretic Peptide, Brain 114471-18-0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2282-2289

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR002548
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060963
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024131
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000003
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000439
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060990
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR029879
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061028
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000433
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK104730
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060984
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061021
Pays : United States
Organisme : NIDDK NIH HHS
ID : U24 DK060990
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060980
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061022
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK103612
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000424
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR016500
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM109036
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060902
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

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Auteurs

Alexander J Kula (AJ)

Division of Pediatric Nephrology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA.
ORCID: 0000-0001-7827-9214

Ronit Katz (R)

Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA, USA.

Leila R Zelnick (LR)

Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA, USA.

Elsayed Soliman (E)

Department of Medicine, School of Medicine, Wake Forest University, Winston-Salem, NC, USA.

Alan Go (A)

Division of Research, Kaiser Permanente Northern California, San Francisco, CA, USA.

Michael Shlipak (M)

Department of General Internal Medicine, San Francisco VA Medical Center, San Francisco, CA, USA.

Rajat Deo (R)

Departments of Medicine and Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Bonnie Ky (B)

Departments of Medicine and Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Ian DeBoer (I)

Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA, USA.

Amanda Anderson (A)

Translational Science Institute School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

Rob Christenson (R)

Department of Medicine, University of Maryland School of Medicine, Baltimore, LA, USA.

Stephen L Seliger (SL)

Department of Medicine, University of Maryland School of Medicine, Baltimore, LA, USA.

Chris Defilippi (C)

Inova Heart and Vascular Institute, Falls Church, VA, USA.

Harold I Feldman (HI)

Departments of Medicine and Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Myles Wolf (M)

Department of Medicine, School of Medicine, Duke University, Durham, NC, USA.

John Kusek (J)

National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.

Tariq Shafi (T)

Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.

Jiang He (J)

Translational Science Institute School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

Nisha Bansal (N)

Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA, USA.

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Classifications MeSH

questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Troubles du rythme cardiaque › Fibrillation auriculaire › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Maladies cardiovasculaires › Cardiopathies › Défaillance cardiaque › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines de tissu nerveux › Peptide natriurétique cérébral › Association of circulating cardiac biomarkers...
questionsmedicales.fr › Acides aminés, peptides et protéines › Peptides › Fragments peptidiques › Association of circulating cardiac biomarkers...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Maladie chronique › Insuffisance rénale chronique › Association of circulating cardiac biomarkers...