Slope of Kidney Function and Its Association with Longitudinal Mortality and Cardiovascular Disease among Individuals with CKD.


Journal

Journal of the American Society of Nephrology : JASN
ISSN: 1533-3450
Titre abrégé: J Am Soc Nephrol
Pays: United States
ID NLM: 9013836

Informations de publication

Date de publication:
12 2020
Historique:
received: 20 04 2020
accepted: 01 09 2020
pubmed: 8 10 2020
medline: 13 3 2021
entrez: 7 10 2020
Statut: ppublish

Résumé

Slopes of eGFR have been associated with increased risks of death and cardiovascular events in a U-shaped fashion. Poor outcomes in individuals with rising eGFR are potentially attributable to sarcopenia, hemodilution, and other indicators of clinical deterioration. To investigate the association between eGFR slopes and risks of death or cardiovascular events, accounting for multiple confounders, we studied 2738 individuals with moderate to severe CKD participating in the multicenter Chronic Renal Insufficiency Cohort (CRIC) Study. We used linear, mixed-effects models to estimate slopes with up to four annual eGFR assessments, and Cox proportional hazards models to investigate the association between slopes and the risks of death and cardiovascular events. Slopes of eGFR had a bell-shaped distribution (mean [SD], -1.5 [-2] ml/min per 1.73 m In a cohort of individuals with moderate to severe CKD, we observed steep declines of eGFR were associated with progressively increasing risks of death and cardiovascular events; however, we found no increased risks associated with eGFR improvement. These findings support the potential value of eGFR slopes in clinical assessment of adults with CKD.

Sections du résumé

BACKGROUND
Slopes of eGFR have been associated with increased risks of death and cardiovascular events in a U-shaped fashion. Poor outcomes in individuals with rising eGFR are potentially attributable to sarcopenia, hemodilution, and other indicators of clinical deterioration.
METHODS
To investigate the association between eGFR slopes and risks of death or cardiovascular events, accounting for multiple confounders, we studied 2738 individuals with moderate to severe CKD participating in the multicenter Chronic Renal Insufficiency Cohort (CRIC) Study. We used linear, mixed-effects models to estimate slopes with up to four annual eGFR assessments, and Cox proportional hazards models to investigate the association between slopes and the risks of death and cardiovascular events.
RESULTS
Slopes of eGFR had a bell-shaped distribution (mean [SD], -1.5 [-2] ml/min per 1.73 m
CONCLUSIONS
In a cohort of individuals with moderate to severe CKD, we observed steep declines of eGFR were associated with progressively increasing risks of death and cardiovascular events; however, we found no increased risks associated with eGFR improvement. These findings support the potential value of eGFR slopes in clinical assessment of adults with CKD.

Identifiants

pubmed: 33023926
pii: ASN.2020040476
doi: 10.1681/ASN.2020040476
pmc: PMC7790212
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

2912-2923

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000433
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002548
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 DK060963
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK118198
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060980
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 : NIDDK NIH HHS
ID : U01 DK061028
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR029879
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024131
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060984
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
Organisme : NIDDK NIH HHS
ID : U01 DK061022
Pays : United States
Organisme : NIDDK NIH HHS
ID : L30 DK110819
Pays : United States

Investigateurs

Lawrence J Appel (LJ)
Alan S Go (AS)
James P Lash (JP)
Panduranga S Rao (PS)
Mahboob Rahman (M)

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 by the American Society of Nephrology.

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Auteurs

Paula F Orlandi (PF)

Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania paulaorlandi66@gmail.com.
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Dawei Xie (D)

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

Wei Yang (W)

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

Jordana B Cohen (JB)

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

Rajat Deo (R)

Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania.

Ana C Ricardo (AC)

Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.

Sarah Schrauben (S)

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

Xue Wang (X)

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

L Lee Hamm (LL)

School of Medicine, Tulane University School of Medicine, New Orleans, Louisiana.

Jiang He (J)

School of Medicine, Tulane University School of Medicine, New Orleans, Louisiana.

James H Sondheimer (JH)

School of Medicine, Wayne State University, Detroit, Michigan.

Krishna Kallem (K)

Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Raymond Townsend (R)

Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Dominic Raj (D)

School of Medicine, George Washington University, Washington, D.C.

Afshin Parsa (A)

National Institutes of Health, Bethesda, Maryland.

Amanda H Anderson (AH)

Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
School of Medicine, Tulane University School of Medicine, New Orleans, Louisiana.

Harold I Feldman (HI)

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

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Classifications MeSH