Literature DB >> 28396115

Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease.

Masayuki Yamanouchi1, Jan Skupien2, Monika A Niewczas1, Adam M Smiles3, Alessandro Doria1, Robert C Stanton4, Andrzej T Galecki5, Kevin L Duffin6, Nick Pullen7, Matthew D Breyer6, Joseph V Bonventre8, James H Warram3, Andrzej S Krolewski9.   

Abstract

Design of Phase III trials for diabetic nephropathy currently requires patients at a high risk of progression defined as within three years of a hard end point (end-stage renal disease, 40% loss of estimated glomerular filtration rate, or death). To improve the design of these trials, we used natural history data from the Joslin Kidney Studies of chronic kidney disease in patients with diabetes to develop an improved criterion to identify such patients. This included a training cohort of 279 patients with type 1 diabetes and 134 end points within three years, and a validation cohort of 221 patients with type 2 diabetes and 88 end points. Previous trials selected patients using clinical criteria for baseline urinary albumin-to-creatinine ratio and estimated glomerular filtration rate. Application of these criteria to our cohort data yielded sensitivities (detection of patients at risk) of 70-80% and prognostic values of only 52-63%. We applied classification and regression trees analysis to select from among all clinical characteristics and markers the optimal prognostic criterion that divided patients with type 1 diabetes according to risk. The optimal criterion was a serum tumor necrosis factor receptor 1 level over 4.3 ng/ml alone or 2.9-4.3 ng/ml with an albumin-to-creatinine ratio over 1900 mg/g. Remarkably, this criterion produced similar results in both type 1 and type 2 diabetic patients. Overall, sensitivity and prognostic value were high (72% and 81%, respectively). Thus, application of this criterion to enrollment in future clinical trials could reduce the sample size required to achieve adequate statistical power for detection of treatment benefits.
Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  acute kidney injury; chronic kidney disease; diabetes

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Substances:

Year:  2017        PMID: 28396115      PMCID: PMC5796779          DOI: 10.1016/j.kint.2017.02.010

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  40 in total

1.  Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes.

Authors:  Monika A Niewczas; Tomohito Gohda; Jan Skupien; Adam M Smiles; William H Walker; Florencia Rosetti; Xavier Cullere; John H Eckfeldt; Alessandro Doria; Tanya N Mayadas; James H Warram; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 10.121

2.  Development and progression of nephropathy in type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS 64).

Authors:  Amanda I Adler; Richard J Stevens; Sue E Manley; Rudy W Bilous; Carole A Cull; Rury R Holman
Journal:  Kidney Int       Date:  2003-01       Impact factor: 10.612

3.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

4.  Risk for ESRD in type 1 diabetes remains high despite renoprotection.

Authors:  Elizabeth T Rosolowsky; Jan Skupien; Adam M Smiles; Monika Niewczas; Bijan Roshan; Robert Stanton; John H Eckfeldt; James H Warram; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2011-02-25       Impact factor: 10.121

5.  Competing-risk analysis of ESRD and death among patients with type 1 diabetes and macroalbuminuria.

Authors:  Carol Forsblom; Valma Harjutsalo; Lena M Thorn; Johan Wadén; Nina Tolonen; Markku Saraheimo; Daniel Gordin; John L Moran; Merlin C Thomas; Per-Henrik Groop
Journal:  J Am Soc Nephrol       Date:  2011-02-18       Impact factor: 10.121

6.  Association of serum concentration of TNFR1 with all-cause mortality in patients with type 2 diabetes and chronic kidney disease: follow-up of the SURDIAGENE Cohort.

Authors:  Pierre-Jean Saulnier; Elise Gand; Stéphanie Ragot; Grégory Ducrocq; Jean-Michel Halimi; Charlotte Hulin-Delmotte; Pierre Llaty; David Montaigne; Vincent Rigalleau; Ronan Roussel; Gilberto Velho; Philippe Sosner; Philippe Zaoui; Samy Hadjadj
Journal:  Diabetes Care       Date:  2014-03-12       Impact factor: 19.112

7.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 8.  Net reclassification indices for evaluating risk prediction instruments: a critical review.

Authors:  Kathleen F Kerr; Zheyu Wang; Holly Janes; Robyn L McClelland; Bruce M Psaty; Margaret S Pepe
Journal:  Epidemiology       Date:  2014-01       Impact factor: 4.822

9.  Effects of olmesartan on renal and cardiovascular outcomes in type 2 diabetes with overt nephropathy: a multicentre, randomised, placebo-controlled study.

Authors:  E Imai; J C N Chan; S Ito; T Yamasaki; F Kobayashi; M Haneda; H Makino
Journal:  Diabetologia       Date:  2011-10-13       Impact factor: 10.122

10.  Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria.

Authors:  Andrzej S Krolewski; Monika A Niewczas; Jan Skupien; Tomhito Gohda; Adam Smiles; Jon H Eckfeldt; Alessandro Doria; James H Warram
Journal:  Diabetes Care       Date:  2013-08-12       Impact factor: 19.112

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  20 in total

1.  Circulating TNF receptors and risk of renal disease progression, cardiovascular disease events and mortality in patients with diabetes: a systematic review and meta-analysis.

Authors:  Dongsheng Cheng; Yang Fei; Pierre-Jean Saulnier; Niansong Wang
Journal:  Endocrine       Date:  2019-12-07       Impact factor: 3.633

2.  Multiplex Serum Biomarker Assays Improve Prediction of Renal and Mortality Outcomes in Chronic Kidney Disease.

Authors:  William P Martin; Chloe Conroy; Serika D Naicker; Sarah Cormican; Tomás P Griffin; Md Nahidul Islam; Eibhlin M McCole; Ivan McConnell; John Lamont; Peter FitzGerald; John P Ferguson; Ciarán Richardson; Susan E Logue; Matthew D Griffin
Journal:  Kidney360       Date:  2021-05-21

3.  Markers of early progressive renal decline in type 2 diabetes suggest different implications for etiological studies and prognostic tests development.

Authors:  Natalia Nowak; Jan Skupien; Adam M Smiles; Masayuki Yamanouchi; Monika A Niewczas; Andrzej T Galecki; Kevin L Duffin; Matthew D Breyer; Nick Pullen; Joseph V Bonventre; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2018-02-02       Impact factor: 10.612

4.  Effects of Selonsertib in Patients with Diabetic Kidney Disease.

Authors:  Glenn M Chertow; Pablo E Pergola; Fang Chen; Brian J Kirby; John S Sundy; Uptal D Patel
Journal:  J Am Soc Nephrol       Date:  2019-09-10       Impact factor: 10.121

Review 5.  Trajectories of kidney function in diabetes: a clinicopathological update.

Authors:  Megumi Oshima; Miho Shimizu; Masayuki Yamanouchi; Tadashi Toyama; Akinori Hara; Kengo Furuichi; Takashi Wada
Journal:  Nat Rev Nephrol       Date:  2021-08-06       Impact factor: 28.314

6.  Association between TNF Receptors and KIM-1 with Kidney Outcomes in Early-Stage Diabetic Kidney Disease.

Authors:  Simke W Waijer; Taha Sen; Clare Arnott; Bruce Neal; Jos G W Kosterink; Kenneth W Mahaffey; Chirag R Parikh; Dick de Zeeuw; Vlado Perkovic; Brendon L Neuen; Steven G Coca; Michael K Hansen; Ron T Gansevoort; Hiddo J L Heerspink
Journal:  Clin J Am Soc Nephrol       Date:  2021-12-07       Impact factor: 8.237

Review 7.  Renal Outcomes of Antidiabetic Treatment Options for Type 2 Diabetes-A Proposed MARE Definition.

Authors:  Friedrich C Prischl; Christoph Wanner
Journal:  Kidney Int Rep       Date:  2018-04-22

Review 8.  Biomarkers of diabetic kidney disease.

Authors:  Helen M Colhoun; M Loredana Marcovecchio
Journal:  Diabetologia       Date:  2018-03-08       Impact factor: 10.122

9.  Circulating proteins protect against renal decline and progression to end-stage renal disease in patients with diabetes.

Authors:  Zaipul I Md Dom; Eiichiro Satake; Jan Skupien; Bozena Krolewski; Kristina O'Neil; Jill A Willency; Simon T Dillon; Jonathan M Wilson; Hiroki Kobayashi; Katsuhito Ihara; Towia A Libermann; Marlon Pragnell; Kevin L Duffin; Andrzej S Krolewski
Journal:  Sci Transl Med       Date:  2021-06-30       Impact factor: 19.319

10.  Low real-world eligibility rates for nonalcoholic steatohepatitis patients for phase 3 clinical trial criteria application in a large academic health system.

Authors:  Ysabel C Ilagan-Ying; Jin Xu; Joseph K Lim; Albert Do
Journal:  Eur J Gastroenterol Hepatol       Date:  2021-03-01       Impact factor: 2.586

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