Literature DB >> 15900022

Modeling GFR trajectories in diabetic nephropathy.

Kevin V Lemley1, Derek B Boothroyd, Kristina L Blouch, Robert G Nelson, Lois I Jones, Richard A Olshen, Bryan D Myers.   

Abstract

In an 8-year longitudinal study of Pima Indians with type 2 diabetes and nephropathy, we used statistical techniques that are novel and depend on minimal assumptions to compare longitudinal measurements of glomerular filtration rate (GFR). Individuals enrolled with new-onset microalbuminuria either progressed to macroalbuminuria (progressors, n = 13) or did not progress (nonprogressors, n = 13) during follow-up. Subjects with new-onset macroalbuminuria at screening were also followed (n = 22). Patients had their GFR determined serially by urinary iothalamate clearances (average 11 clearances; range 6-19). GFR courses of individuals were modeled using an adaptation of smoothing and regression cubic B-splines. Group comparisons were based on five-component vectors of fitted GFR values using a permutation approach to a Hotelling's T(2) statistic. GFR profiles of initially microalbuminuric progressors differed significantly from those of nonprogressors (P = 0.003). There were no significant baseline differences between progressors and nonprogressors with respect to any measured clinical parameters. The course of GFR in the first 4 yr following progression to macroalbuminuria in initially microalbuminuric subjects did not differ from that in newly screened macroalbuinuric subjects (P = 0.27). Without imposing simplifying models on the data, the statistical techniques used demonstrate that the courses of decline of GFR in definable subgroups of initially microalbuminuric diabetic Pima Indians, although generally progressive, follow distinct trajectories that are related to the extent of glomerular barrier dysfunction, as reflected by the evolution from microalbuminuria to macroalbuminuria.

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Year:  2005        PMID: 15900022     DOI: 10.1152/ajprenal.00068.2004

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  13 in total

1.  Early renal function decline in type 2 diabetes.

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Review 2.  Analytic Considerations for Repeated Measures of eGFR in Cohort Studies of CKD.

Authors:  Haochang Shou; Jesse Y Hsu; Dawei Xie; Wei Yang; Jason Roy; Amanda H Anderson; J Richard Landis; Harold I Feldman; Afshin Parsa; Christopher Jepson
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-27       Impact factor: 8.237

3.  Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians.

Authors:  Farsad Afshinnia; Viji Nair; Jiahe Lin; Thekkelnaycke M Rajendiran; Tanu Soni; Jaeman Byun; Kumar Sharma; Patrice E Fort; Thomas W Gardner; Helen C Looker; Robert G Nelson; Frank C Brosius; Eva L Feldman; George Michailidis; Matthias Kretzler; Subramaniam Pennathur
Journal:  JCI Insight       Date:  2019-11-01

4.  Nonlinear trajectory of GFR in children before RRT.

Authors:  Yichen Zhong; Alvaro Muñoz; George J Schwartz; Bradley A Warady; Susan L Furth; Alison G Abraham
Journal:  J Am Soc Nephrol       Date:  2014-01-02       Impact factor: 10.121

5.  Structural Predictors of Loss of Renal Function in American Indians with Type 2 Diabetes.

Authors:  Gudeta D Fufaa; E Jennifer Weil; Kevin V Lemley; William C Knowler; Frank C Brosius; Berne Yee; Michael Mauer; Robert G Nelson
Journal:  Clin J Am Soc Nephrol       Date:  2016-01-20       Impact factor: 8.237

6.  Linkage analysis of albuminuria.

Authors:  Amy K Mottl; Suma Vupputuri; Shelley A Cole; Laura Almasy; Harald H H Göring; Vincent P Diego; Sandra Laston; Nawar Shara; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Jean W MacCluer; Jason G Umans; Kari E North
Journal:  J Am Soc Nephrol       Date:  2009-04-15       Impact factor: 10.121

7.  A molecular morphometric approach to diabetic kidney disease can link structure to function and outcome.

Authors:  Viji Nair; Claudiu V Komorowsky; E Jennifer Weil; Berne Yee; Jeffrey Hodgin; Jennifer L Harder; Bradley Godfrey; Wenjun Ju; Carine M Boustany-Kari; Margrit Schwarz; Kevin V Lemley; Peter J Nelson; Robert G Nelson; Matthias Kretzler
Journal:  Kidney Int       Date:  2017-10-18       Impact factor: 10.612

8.  The early decline in renal function in patients with type 1 diabetes and proteinuria predicts the risk of end-stage renal disease.

Authors:  Jan Skupien; James H Warram; Adam M Smiles; Monika A Niewczas; Tomohito Gohda; Marcus G Pezzolesi; Diego Cantarovich; Robert Stanton; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2012-05-23       Impact factor: 10.612

9.  Diabetic nephropathy in a sibling and albuminuria predict early GFR decline: a prospective cohort study.

Authors:  Douglas Gunzler; Anthony J Bleyer; Robert L Thomas; Alicia O'Brien; Gregory B Russell; Abdus Sattar; Sudha K Iyengar; Charles Thomas; John R Sedor; Jeffrey R Schelling
Journal:  BMC Nephrol       Date:  2013-06-17       Impact factor: 2.388

Review 10.  Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the art.

Authors:  Julie Boucquemont; Georg Heinze; Kitty J Jager; Rainer Oberbauer; Karen Leffondre
Journal:  BMC Nephrol       Date:  2014-03-14       Impact factor: 2.388

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