Long-term trajectory of kidney function in autosomal-dominant polycystic kidney disease.


Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
05 2019
Historique:
received: 12 08 2018
revised: 04 12 2018
accepted: 06 12 2018
pubmed: 30 3 2019
medline: 3 4 2020
entrez: 30 3 2019
Statut: ppublish

Résumé

Autosomal dominant polycystic kidney disease (ADPKD) is characterized by cyst and kidney growth, which is hypothesized to cause loss of functioning renal mass and eventually end-stage kidney disease. However, the time course of decline in glomerular filtration rate (GFR) is poorly defined. The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease study is a 14-year observational cohort study of 241 adults with ADPKD. As an estimate of the rate of kidney growth, participants were stratified into 5 subclasses based on baseline age and magnetic resonance imaging measurements of total kidney volume (TKV) according to the method of Irazabal. GFR trajectories spanning over four decades of life were reconstructed and fitted using mixed polynomial models, which were validated using data from the HALT-PKD study. GFR trajectories were nonlinear, with a period of relative stability in most participants, followed by accelerating decline. The shape and slope of these trajectories were strongly associated with baseline Irazabal class. Patients with PKD1 mutations had a steeper GFR decline than patients with PKD2 mutations or with no detected mutation, largely mediated by the effect of genotype on Irazabal class. Thus, GFR decline in ADPKD is nonlinear, and its trajectory throughout adulthood can be predicted from a single measurement of kidney volume. These models can be used for clinical prognostication, clinical trial design, and patient selection for clinical interventions. Our findings support a causal link between growth in kidney volume and GFR decline, adding support for the use of TKV as a surrogate endpoint in clinical trials.

Identifiants

pubmed: 30922668
pii: S0085-2538(19)30104-8
doi: 10.1016/j.kint.2018.12.023
pmc: PMC6478515
mid: NIHMS1520781
pii:
doi:

Substances chimiques

TRPP Cation Channels 0
polycystic kidney disease 1 protein 0
polycystic kidney disease 2 protein 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1253-1261

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK090728
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024153
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000165
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK056957
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK106912
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000001
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR023940
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR025777
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR000032
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024150
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001417
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR025008
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR000585
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK113111
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003096
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000005
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK056956
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR000039
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR033179
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000135
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK056943
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000454
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK056961
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK044863
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001102
Pays : United States

Informations de copyright

Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

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Auteurs

Alan S L Yu (ASL)

Division of Nephrology and Hypertension and the Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, USA. Electronic address: ayu@kumc.edu.

Chengli Shen (C)

Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Douglas P Landsittel (DP)

Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Jared J Grantham (JJ)

Division of Nephrology and Hypertension and the Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, USA.

Larry T Cook (LT)

Department of Diagnostic Radiology, University of Kansas Medical Center, Kansas City, Kansas, USA.

Vicente E Torres (VE)

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.

Arlene B Chapman (AB)

Division of Nephrology, University of Chicago School of Medicine, Chicago, Illinois, USA; Department of Internal Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.

Kyongtae Ty Bae (KT)

Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Michal Mrug (M)

Division of Nephrology, University of Alabama and the Department of Veterans Affairs Medical Center, Birmingham, Alabama, USA.

Peter C Harris (PC)

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.

Frederic F Rahbari-Oskoui (FF)

Department of Internal Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.

Tiange Shi (T)

Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

William M Bennett (WM)

Legacy Good Samaritan Hospital, Portland, Oregon, USA.

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Classifications MeSH