The use of eGFR and ACR to predict decline in renal function in people with diabetes | Zendy

Richard Hoefield | Zendy; P A Kalra | Zendy; Paul Baker | Zendy; Inês Sousa | Zendy; Peter J. Diggle | Zendy; Martin Gibson | Zendy; Dónal O’Donoghue | Zendy; Rachel Middleton | Zendy; John P. New | Zendy

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The use of eGFR and ACR to predict decline in renal function in people with diabetes

Author(s) -

Richard Hoefield,

P A Kalra,

Paul Baker,

Inês Sousa,

Peter J. Diggle,

Martin Gibson,

Dónal O’Donoghue,

Rachel Middleton,

John P. New

Publication year - 2010

Publication title -

nephrology dialysis transplantation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.654

H-Index - 168

eISSN - 1460-2385

pISSN - 0931-0509

DOI - 10.1093/ndt/gfq526

Subject(s) - albuminuria , medicine , renal function , microalbuminuria , kidney disease , diabetes mellitus , urology , population , creatinine , endocrinology , environmental health

There have been few attempts to estimate progression of kidney disease in people with diabetes in a single large population with predictive modelling. The aim of this study was to investigate the rate of progression of chronic kidney disease in people with diabetes according to their estimated glomerular filtration rate (eGFR) and presence of albuminuria.

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