Markers of kidney tubule function and risk of cardiovascular disease events and mortality in the SPRINT trial.


Journal

European heart journal
ISSN: 1522-9645
Titre abrégé: Eur Heart J
Pays: England
ID NLM: 8006263

Informations de publication

Date de publication:
01 11 2019
Historique:
received: 04 02 2019
revised: 11 04 2019
accepted: 21 05 2019
pubmed: 2 7 2019
medline: 21 10 2020
entrez: 2 7 2019
Statut: ppublish

Résumé

Biomarkers of kidney tubule injury, inflammation and fibrosis have been studied extensively and established as risk markers of adverse kidney and cardiovascular disease (CVD) outcomes. However, associations of markers of kidney tubular function with adverse clinical events have not been well studied, especially in persons with chronic kidney disease (CKD). Using a sample of 2377 persons with CKD at the baseline Systolic Blood Pressure Intervention Trial (SPRINT) visit, we evaluated the association of three urine tubular function markers, alpha-1 microglobulin (α1m), beta-2 microglobulin (β2m), and uromodulin, with a composite CVD endpoint (myocardial infarction, acute coronary syndrome, stroke, acute decompensated heart failure, or death from cardiovascular causes) and mortality using Cox proportional hazards regression, adjusted for baseline estimated glomerular filtration rate (eGFR), albuminuria, and CVD risk factors. In unadjusted analysis, over a median follow-up of 3.8 years, α1m and β2m had positive associations with composite CVD events and mortality, whereas uromodulin had an inverse association with risk for both outcomes. In multivariable analysis including eGFR and albuminuria, a two-fold higher baseline concentration of α1m was associated with higher risk of CVD [hazard ratio (HR) 1.25; 95% confidence interval (CI): 1.10-1.45] and mortality (HR 1.25; 95% CI: 1.10-1.46), whereas β2m had no association with either outcome. A two-fold higher uromodulin concentration was associated with lower CVD risk (HR 0.79; 95% CI: 0.68-0.90) but not mortality (HR 0.86; 95% CI: 0.73-1.01) after adjusting for similar confounders. Among non-diabetic persons with CKD, biomarkers of tubular function are associated with CVD events and mortality independent of glomerular function and albuminuria.

Identifiants

pubmed: 31257404
pii: 5525357
doi: 10.1093/eurheartj/ehz392
pmc: PMC6837159
doi:

Substances chimiques

Biomarkers 0
Uromodulin 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

3486-3493

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK098234
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002548
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK114556
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002003
Pays : United States
Organisme : NIDDK NIH HHS
ID : K24 DK110427
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003142
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Pranav S Garimella (PS)

Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA.

Alexandra K Lee (AK)

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

Walter T Ambrosius (WT)

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

Udayan Bhatt (U)

Division of Nephrology, Ohio State University, Columbus, OH, USA.

Alfred K Cheung (AK)

Division of Nephrology & Hypertension, Department of Internal Medicine, Medical Service, University of Utah, Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA.

Michel Chonchol (M)

Division of Nephrology & Hypertension, Department of Medicine, University of Colorado, Denver, CO, USA.

Timothy Craven (T)

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

Amret T Hawfield (AT)

Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Vasantha Jotwani (V)

Kidney Health Research Collaborative, San Francisco VA Medical Center, University of California, San Francisco, CA, USA.

Anthony Killeen (A)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.

Henry Punzi (H)

Punzi Medical Center, Carrollton, TX, USA.

Mark J Sarnak (MJ)

Division of Nephrology, Tufts Medical Center, Boston, MA, USA.

Barry M Wall (BM)

Division of Nephrology, University of Tennessee, Memphis, TN, USA.

Joachim H Ix (JH)

Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA.
Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA.
Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA.

Michael G Shlipak (MG)

Division of General Internal Medicine, San Francisco VA Medical Center, San Francisco, CA, USA.
Kidney Health Research Collaborative, San Francisco VA Medical Center, University of California, San Francisco, CA, USA.

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Classifications MeSH