Potential Surrogate Outcomes for Kidney Failure in Advanced CKD: Evaluation of Power and Predictive Ability in CKDopps.

Chronic kidney disease progression composite outcomes estimated glomerular filtration rate kidney failure surrogate end points

Journal

Kidney medicine
ISSN: 2590-0595
Titre abrégé: Kidney Med
Pays: United States
ID NLM: 101756300

Informations de publication

Date de publication:
Feb 2022
Historique:
entrez: 4 3 2022
pubmed: 5 3 2022
medline: 5 3 2022
Statut: epublish

Résumé

Potential surrogate end points for kidney failure have been proposed in chronic kidney disease (CKD); however, they must be evaluated to ensure accurate, powerful, and harmonized research, particularly among patients with advanced CKD. The aim of the current study was to investigate the power and predictive ability of surrogate kidney failure end points in a population with moderate-to-advanced CKD. Analysis of longitudinal data of a large multinational CKD observational study (Chronic Kidney Disease Outcomes and Practice Patterns Study). CKD stage 3-5 patients from Brazil, France, Germany, and the United States. Reaching an estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m Each end point was used as a time-varying indicator in the Cox model to predict the time to kidney replacement therapy (KRT; dialysis or transplant) and was compared by the number of events and prediction accuracy. 8,211 patients had a median baseline eGFR of 27 mL/min/1.73 m Variable visit frequency resulted in variable eGFR measurement frequency. The composite end point can be useful for CKD progression studies among patients with advanced CKD. Harmonized use of this approach has the potential to accelerate the translation of new discoveries to clinical practice by identifying risk factors and treatments for kidney failure.

Identifiants

pubmed: 35243307
doi: 10.1016/j.xkme.2021.10.008
pii: S2590-0595(21)00253-3
pmc: PMC8861958
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100395

Investigateurs

Christian Combe (C)
Johannes Duttlinger (J)
Danilo Fliser (D)
Christian Jacquelinet (C)
Gerhard Lonnemann (G)
Antonio Lopes (A)
Ziad Massy (Z)
Roberto Pecoits-Filho (R)
Helmut Reichel (H)
Bénédicte Stengel (B)
Takashi Wada (T)
Kunihiro Yamagata (K)

Informations de copyright

© 2021 The Authors.

Références

Lancet. 2013 Jul 27;382(9889):353-62
pubmed: 23727164
Am J Kidney Dis. 2014 Dec;64(6):860-6
pubmed: 25441439
Am J Kidney Dis. 2016 Sep;68(3):402-13
pubmed: 27113505
Epidemiology. 2009 Sep;20(5):664-72
pubmed: 19478669
Am J Kidney Dis. 2019 Jan;73(1):82-89
pubmed: 30249420
Kidney Int. 2015 Sep;88(3):447-59
pubmed: 25923985
Kidney Int. 2020 Oct;98(4S):S1-S115
pubmed: 32998798
Am J Kidney Dis. 2014 Dec;64(6):821-35
pubmed: 25441437
Kidney Int. 2020 Jun;97(6):1117-1129
pubmed: 32409237
JAMA. 2014 Jun 25;311(24):2518-2531
pubmed: 24892770
J Am Soc Nephrol. 2017 Sep;28(9):2812-2823
pubmed: 28642330
Am J Kidney Dis. 2014 Dec;64(6):867-79
pubmed: 25441440
Stat Med. 1989 Apr;8(4):431-40
pubmed: 2727467
Am J Kidney Dis. 2014 Feb;63(2):236-43
pubmed: 24182662
Am J Kidney Dis. 2014 Dec;64(6):848-59
pubmed: 25441438
N Engl J Med. 2019 Jun 13;380(24):2295-2306
pubmed: 30990260
Am J Kidney Dis. 2020 Jan;75(1):84-104
pubmed: 31473020
Am J Kidney Dis. 2021 Jan;77(1):94-109
pubmed: 33121838
N Engl J Med. 2020 Dec 03;383(23):2219-2229
pubmed: 33264825
Kidney Int. 2019 Nov;96(5):1217-1233
pubmed: 31570197
Biometrics. 2006 Mar;62(1):297-300
pubmed: 16542258
Kidney Int. 2020 Oct;98(4):849-859
pubmed: 32998816
Nephrol Dial Transplant. 2020 May 1;35(5):803-810
pubmed: 31953939

Auteurs

Jarcy Zee (J)

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Daniel Muenz (D)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Keith P McCullough (KP)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Brian Bieber (B)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Marie Metzger (M)

French Institute of Health and Medical Research (INSERM), Villejuif, France.

Natalia Alencar de Pinho (N)

French Institute of Health and Medical Research (INSERM), Villejuif, France.

Antonio A Lopes (AA)

Department of Internal Medicine, Federal University of Bahia, Salvador, Brazil.

Danilo Fliser (D)

Universitatsklinikum des Saarlandes und Medizinische Fakultat der Universitat des Saarlandes, Homburg, Saarland, Germany.

Bruce M Robinson (BM)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Eric Young (E)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Ronald L Pisoni (RL)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

Bénédicte Stengel (B)

French Institute of Health and Medical Research (INSERM), Villejuif, France.

Roberto Pecoits-Filho (R)

Arbor Research Collaborative for Health, Ann Arbor, Michigan.
School of Medicine, Pontificia Universidade Catolica do Parana, Curitiba, Brazil.

Classifications MeSH