Upper Reference Limits for High-Sensitivity Cardiac Troponin T and N-Terminal Fragment of the Prohormone Brain Natriuretic Peptide in Patients With CKD.

Cardiac biomarkers N-terminal pro–brain natriuretic peptide (NT-proBNP) cardiovascular disease chronic kidney disease (CKD) diagnostic threshold heart failure (HF) high-sensitivity cardiac troponin T (hsTnT) laboratory measurement myocardial infarction (MI) troponin upper limit of normal (ULN)

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:
Mar 2022
Historique:
received: 28 12 2020
accepted: 03 06 2021
pubmed: 23 7 2021
medline: 8 4 2022
entrez: 22 7 2021
Statut: ppublish

Résumé

The utility of conventional upper reference limits (URL) for N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hsTnT) in chronic kidney disease (CKD) remains debated. We analyzed the distribution of hsTnT and NT-proBNP in people with CKD in ambulatory settings to examine the diagnostic value of conventional URL in this population. Observational study. We studied participants of the Chronic Renal Insufficiency Cohort (CRIC) with CKD and no self-reported history of cardiovascular disease. Estimated glomerular filtration rate (eGFR). NT-proBNP and hsTnT at baseline. We described the proportion of participants above the conventional URL for NT-proBNP (125pg/mL) and hsTnT (14ng/L) overall and by eGFR. We then estimated 99th percentile URL for NT-proBNP and hsTnT. Using quantile regression of the 99th percentile, we modeled the association of eGFR with NT-proBNP and hsTnT. Among 2,312 CKD participants, 40% and 43% had levels of NT-proBNP and hsTnT above the conventional URL, respectively. In those with eGFR <30mL/min/1.73m Study included ambulatory patients, and we could not test the accuracy of the URL of NT-proBNP and hsTnT in the acute care setting. In this ambulatory CKD population with no self-reported history of cardiovascular disease, a range of 40%-88% of participants had concentrations of NT-proBNP and hsTnT above the conventional URL, depending on eGFR strata. Developing eGFR-specific thresholds for these commonly used cardiac biomarkers in the setting of CKD may improve their utility for evaluation of suspected heart failure and myocardial infarction.

Identifiants

pubmed: 34293394
pii: S0272-6386(21)00760-5
doi: 10.1053/j.ajkd.2021.06.017
pmc: PMC8766621
mid: NIHMS1725815
pii:
doi:

Substances chimiques

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

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

383-392

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 : NIDDK NIH HHS
ID : R01 DK119199
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 : 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

Investigateurs

Lawrence J Appel (LJ)
Harold I Feldman (HI)
James P Lash (JP)
Robert G Nelson (RG)
Panduranga S Rao (PS)
Mahboob Rahman (M)
Vallabh O Shah (VO)
Raymond R Townsend (RR)
Mark L Unruh (ML)

Informations de copyright

Copyright © 2021 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

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Auteurs

Nisha Bansal (N)

Kidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington. Electronic address: nbansal@nephrology.washington.edu.

Leila R Zelnick (LR)

Kidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.

Christie M Ballantyne (CM)

Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas.

Paulo H M Chaves (PHM)

Benjamin Leon Center for Geriatric Research and Education, Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida.

Robert H Christenson (RH)

Department of Pathology, School of Medicine, University of Maryland, Baltimore, Maryland.

Josef Coresh (J)

Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Christopher R deFilippi (CR)

Inova Center of Outcomes Research, Inova Heart and Vascular Institute, Falls Church, Virginia.

James A de Lemos (JA)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.

Lori B Daniels (LB)

Division of Cardiovascular Medicine, Department of Medicine, and Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California.

Alan S Go (AS)

Division of Research, Kaiser Permanente Northern California, Oakland, California.

Jiang He (J)

Tulane University Translational Science Institute, Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, Louisiana.

S Susan Hedayati (SS)

Division of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.

Kunihiro Matsushita (K)

Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Vijay Nambi (V)

Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Hospital, Houston, Texas.

Michael G Shlipak (MG)

Department of Medicine, and Department of Epidemiology and Biostatistics, University of California-San Francisco, and San Francisco VA Medical Center, San Francisco, California.

Jonathan J Taliercio (JJ)

Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio.

Stephen L Seliger (SL)

Division of Nephrology, School of Medicine, University of Maryland, Baltimore, Maryland.

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Classifications MeSH