Literature DB >> 25441440

Utility and validity of estimated GFR-based surrogate time-to-event end points in CKD: a simulation study.

Tom Greene1, Chia-Chen Teng2, Lesley A Inker3, Andrew Redd2, Jian Ying2, Mark Woodward4, Josef Coresh5, Andrew S Levey3.   

Abstract

BACKGROUND: There is interest in surrogate end points for clinical trials of chronic kidney disease progression because currently established end points-end-stage renal disease (ESRD) and doubling of serum creatinine level-are late events, requiring large clinical trials with long follow-up. Doubling of serum creatinine level is equivalent to a 57% decline in estimated glomerular filtration rate (eGFR). We evaluated type 1 error and required sample size for clinical trials using surrogate end points based on lesser eGFR declines. STUDY
DESIGN: Simulation study. SETTING & PARTICIPANTS: Simulations evaluating 3,060 scenarios representative of 19 treatment comparisons in 13 chronic kidney disease clinical trials. INDEX TESTS: Surrogate end points defined as composite end points based on ESRD and either 30% or 40% eGFR declines. REFERENCE TEST: Clinical outcome (ESRD) for type 1 error. Established end point (composite of ESRD and 57% eGFR decline) for required sample size.
RESULTS: Use of the 40% versus 57% eGFR decline end point consistently led to a reduction in sample size > 20% while maintaining risk for type 1 error < 10% in the presence of a small acute effect (<1.25mL/min/1.73m(2)) for: (1) 2-, 3-, or 5-year trials with a high mean baseline eGFR (67.5mL/min/1.73m(2)), and (2) 2-year trials with an intermediate mean baseline eGFR (42.5mL/min/1.73m(2)). Use of the 30% versus the 40% eGFR decline end point often led to moderately larger reductions in sample size in the absence of an acute effect, but not in the presence of acute effects. LIMITATIONS: The complexity of eGFR trajectories prevented evaluation of all scenarios for clinical trials.
CONCLUSIONS: Use of end points based on 30% or 40% eGFR declines is an appropriate strategy to reduce sample size in certain situations. However, risk for type 1 error is increased in the presence of acute effects, particularly for 30% eGFR declines. The decision to use these end points should be made after thorough evaluation of their expected performance under the conditions of specific clinical trials.
Copyright © 2014 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trials; chronic kidney disease (CKD); eGFR trajectory; end-stage renal disease (ESRD); estimated glomerular filtration rate (eGFR) decline; kidney disease outcome; kidney disease progression; kidney end point; renal end point; renal function; simulation; surrogate end point

Mesh:

Year:  2014        PMID: 25441440     DOI: 10.1053/j.ajkd.2014.08.019

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  23 in total

1.  Performance of GFR Slope as a Surrogate End Point for Kidney Disease Progression in Clinical Trials: A Statistical Simulation.

Authors:  Tom Greene; Jian Ying; Edward F Vonesh; Hocine Tighiouart; Andrew S Levey; Josef Coresh; Jennifer S Herrick; Enyu Imai; Tazeen H Jafar; Bart D Maes; Ronald D Perrone; Lucia Del Vecchio; Jack F M Wetzels; Hiddo J L Heerspink; Lesley A Inker
Journal:  J Am Soc Nephrol       Date:  2019-07-10       Impact factor: 10.121

2.  Guidelines for clinical evaluation of chronic kidney disease : AMED research on regulatory science of pharmaceuticals and medical devices.

Authors:  Eiichiro Kanda; Naoki Kashihara; Kunihiro Matsushita; Tomoko Usui; Hirokazu Okada; Kunitoshi Iseki; Kenichi Mikami; Tetsuhiro Tanaka; Takashi Wada; Hirotaka Watada; Kohjiro Ueki; Masaomi Nangaku
Journal:  Clin Exp Nephrol       Date:  2018-12       Impact factor: 2.801

Review 3.  The next generation of therapeutics for chronic kidney disease.

Authors:  Matthew D Breyer; Katalin Susztak
Journal:  Nat Rev Drug Discov       Date:  2016-05-27       Impact factor: 84.694

4.  Canagliflozin Slows Progression of Renal Function Decline Independently of Glycemic Effects.

Authors:  Hiddo J L Heerspink; Mehul Desai; Meg Jardine; Dainius Balis; Gary Meininger; Vlado Perkovic
Journal:  J Am Soc Nephrol       Date:  2016-08-18       Impact factor: 10.121

5.  Candidate Surrogate End Points for ESRD after AKI.

Authors:  Morgan E Grams; Yingying Sang; Josef Coresh; Shoshana H Ballew; Kunihiro Matsushita; Andrew S Levey; Tom H Greene; Miklos Z Molnar; Zoltan Szabo; Kamyar Kalantar-Zadeh; Csaba P Kovesdy
Journal:  J Am Soc Nephrol       Date:  2016-02-08       Impact factor: 10.121

6.  Health Education and General Practitioner Training in Hypertension Management: Long-Term Effects on Kidney Function.

Authors:  Tazeen H Jafar; John C Allen; Imtiaz Jehan; Aamir Hameed; Seyed Ehsan Saffari; Shah Ebrahim; Neil Poulter; Nish Chaturvedi
Journal:  Clin J Am Soc Nephrol       Date:  2016-05-19       Impact factor: 8.237

7.  Prospective Assessment of Adenovirus Infection in Pediatric Kidney Transplant Recipients.

Authors:  Rachel M Engen; Meei-Li Huang; Giulia E Park; Jodi M Smith; Ajit P Limaye
Journal:  Transplantation       Date:  2018-07       Impact factor: 4.939

8.  Different eGFR Decline Thresholds and Renal Effects of Canagliflozin: Data from the CANVAS Program.

Authors:  Megumi Oshima; Bruce Neal; Tadashi Toyama; Toshiaki Ohkuma; Qiang Li; Dick de Zeeuw; Hiddo J L Heerspink; Kenneth W Mahaffey; Gregory Fulcher; William Canovatchel; David R Matthews; Vlado Perkovic
Journal:  J Am Soc Nephrol       Date:  2020-07-21       Impact factor: 10.121

9.  Decline in estimated glomerular filtration rate is associated with risk of end-stage renal disease in type 2 diabetes with macroalbuminuria: an observational study from JDNCS.

Authors:  Miho Shimizu; Kengo Furuichi; Tadashi Toyama; Tomoaki Funamoto; Shinji Kitajima; Akinori Hara; Daisuke Ogawa; Daisuke Koya; Kenzo Ikeda; Yoshitaka Koshino; Yukie Kurokawa; Hideharu Abe; Kiyoshi Mori; Masaaki Nakayama; Yoshio Konishi; Ken-Ichi Samejima; Masaru Matsui; Hiroyuki Yamauchi; Tomohito Gohda; Kei Fukami; Daisuke Nagata; Hidenori Yamazaki; Yukio Yuzawa; Yoshiki Suzuki; Shouichi Fujimoto; Shoichi Maruyama; Sawako Kato; Takero Naito; Kenichi Yoshimura; Hitoshi Yokoyama; Takashi Wada
Journal:  Clin Exp Nephrol       Date:  2017-09-09       Impact factor: 2.801

10.  Using All Longitudinal Data to Define Time to Specified Percentages of Estimated GFR Decline: A Simulation Study.

Authors:  Jarcy Zee; Sarah Mansfield; Laura H Mariani; Brenda W Gillespie
Journal:  Am J Kidney Dis       Date:  2018-09-21       Impact factor: 8.860

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