Literature DB >> 9848788

The nephropathy of non-insulin-dependent diabetes: predictors of outcome relative to diverse patterns of renal injury.

P Ruggenenti1, V Gambara, A Perna, T Bertani, G Remuzzi.   

Abstract

Nephropathy of non-insulin-dependent diabetes mellitus (NIDDM) is the most common cause of end-stage renal failure (ESRF) in Western countries. This study investigates the clinical and histologic putative predictors of disease progression, with the final goal to identify patients at risk who may benefit from early diagnosis and intervention. It examines by repeated measurements of BP, blood glucose, serum creatinine, and urinary protein excretion rate 65 consecutive NIDDM patients with clinical, persistent proteinuria and biopsy-documented typical diabetic glomerulopathy (class I; n = 30), predominant nephroangiosclerosis (class II; n = 23), or nondiabetic type glomerulopathy (class III; n = 12), whose severity of renal tissue involvement was precisely quantified by a global histologic score. Baseline parameters and progression to renal end points, i.e., doubling of baseline serum creatinine, dialysis, or transplantation, were univariately and multivariately correlated by proportional hazards regression models. The median kidney survival time in the overall study population was 3.07 yr. Thirty-seven percent of patients reached an end point during a median (range) follow-up of 1.8 yr (0.4 to 5.7 yr). By univariate and multivariate analysis, kidney survival significantly correlated with baseline urinary protein excretion rate (P = 0.04 and P = 0.04, respectively) and renal tissue injury score (P = 0.0001 and P = 0.02, respectively), but not with the histologic classes. Patients with a urinary protein excretion rate < or = 2 g/24 h, or > 2 g/24 h with a histologic score < 7, never reached an end point. All patients with urinary protein excretion > 2 g/24 h and a histologic score > 13 progressed to ESRF over a median of 1.6 yr. No differences in other baseline parameters or in BP and diabetes control during follow-up accounted for these different outcomes. In NIDDM as well as in nondiabetic chronic renal disease, quantification of urinary protein excretion rate--independent of the pattern of underlying glomerular involvement--reliably discriminates progressors from nonprogressors and, combined with precise quantification of renal tissue injury, reliably predicts risk of ESRF. This information may be used to set guidelines for early diagnosis and appropriate intervention to reduce the number of diabetic patients who will need renal replacement therapy in years to come.

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Year:  1998        PMID: 9848788     DOI: 10.1681/ASN.V9122336

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  23 in total

1.  Longitudinal Changes in Measured Glomerular Filtration Rate, Renal Fibrosis and Biomarkers in a Rat Model of Type 2 Diabetic Nephropathy.

Authors:  Zhi Su; Deborah Widomski; Ji Ma; Marian Namovic; Arthur Nikkel; Laura Leys; Lauren Olson; Katherine Salte; Diana Donnelly-Roberts; Timothy Esbenshade; Steve McGaraughty
Journal:  Am J Nephrol       Date:  2016-10-14       Impact factor: 3.754

Review 2.  Glomerular structural-functional relationship models of diabetic nephropathy are robust in type 1 diabetic patients.

Authors:  Michael Mauer; Maria Luiza Caramori; Paola Fioretto; Behzad Najafian
Journal:  Nephrol Dial Transplant       Date:  2014-09-01       Impact factor: 5.992

Review 3.  Identifying and slowing progressive chronic renal failure.

Authors:  B Curtis; B J Barrett; A Levin
Journal:  Can Fam Physician       Date:  2001-12       Impact factor: 3.275

Review 4.  Sex, diabetes and the kidney.

Authors:  Christine Maric
Journal:  Am J Physiol Renal Physiol       Date:  2009-01-14

Review 5.  The role of sulodexide in the treatment of diabetic nephropathy.

Authors:  Ram Weiss; Robert Niecestro; Itamar Raz
Journal:  Drugs       Date:  2007       Impact factor: 9.546

Review 6.  Improving outcomes in diabetes and chronic kidney disease: the basis for Canadian guidelines.

Authors:  Philip A McFarlane; Sheldon W Tobe; Bruce Culleton
Journal:  Can J Cardiol       Date:  2007-05-15       Impact factor: 5.223

7.  Does the KDIGO CKD risk stratification based on GFR and proteinuria predict kidney graft failure?

Authors:  Cristina Bucşa; Gabriel Stefan; Dorina Tacu; Ioanel Sinescu; Ruxandra Diana Sinescu; Mihai Hârza
Journal:  Int Urol Nephrol       Date:  2014-06-20       Impact factor: 2.370

Review 8.  Estrogens and the diabetic kidney.

Authors:  Christine Maric; Shannon Sullivan
Journal:  Gend Med       Date:  2008

Review 9.  Histopathology of diabetic nephropathy.

Authors:  Paola Fioretto; Michael Mauer
Journal:  Semin Nephrol       Date:  2007-03       Impact factor: 5.299

10.  The Value of Renal Biopsy in Non-Insulin-Dependent Diabetes Mellitus in Singapore over the Past Two Decades.

Authors:  Keng Thye Woo; Choong Meng Chan; Cynthia Lim; Jason Choo; Yoke Mooi Chin; Esther Wei Ling Teng; Irene Mok; Jia Liang Kwek; Chieh Suai Tan; Hui Zhuan Tan; Alwin H L Loh; Hui Lin Choong; Han Kim Tan; Grace S L Lee; Evan Lee; Kok Seng Wong; Puay Hoon Tan; Marjorie Foo
Journal:  Kidney Dis (Basel)       Date:  2020-05-06
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