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      Classification and Differential Diagnosis of Diabetic Nephropathy

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          Abstract

          Diabetic nephropathy (DN) is a major cause of end-stage renal disease throughout the world in both developed and developing countries. This review briefly introduces the characteristic pathological changes of DN and Tervaert pathological classification, which divides DN into four classifications according to glomerular lesions, along with a separate scoring system for tubular, interstitial, and vascular lesions. Given the heterogeneity of the renal lesions and the complex mechanism underlying diabetic nephropathy, Tervaert classification has both significance and controversies in the guidance of diagnosis and prognosis. Applications and evaluations using Tervaert classification and indications for renal biopsy are summarized in this review according to recent studies. Meanwhile, differential diagnosis with another nodular glomerulopathy and the situation that a typical DN superimposed with a nondiabetic renal disease (NDRD) are discussed and concluded in this review.

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          Most cited references45

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          Pathologic classification of diabetic nephropathy.

          Although pathologic classifications exist for several renal diseases, including IgA nephropathy, focal segmental glomerulosclerosis, and lupus nephritis, a uniform classification for diabetic nephropathy is lacking. Our aim, commissioned by the Research Committee of the Renal Pathology Society, was to develop a consensus classification combining type1 and type 2 diabetic nephropathies. Such a classification should discriminate lesions by various degrees of severity that would be easy to use internationally in clinical practice. We divide diabetic nephropathy into four hierarchical glomerular lesions with a separate evaluation for degrees of interstitial and vascular involvement. Biopsies diagnosed as diabetic nephropathy are classified as follows: Class I, glomerular basement membrane thickening: isolated glomerular basement membrane thickening and only mild, nonspecific changes by light microscopy that do not meet the criteria of classes II through IV. Class II, mesangial expansion, mild (IIa) or severe (IIb): glomeruli classified as mild or severe mesangial expansion but without nodular sclerosis (Kimmelstiel-Wilson lesions) or global glomerulosclerosis in more than 50% of glomeruli. Class III, nodular sclerosis (Kimmelstiel-Wilson lesions): at least one glomerulus with nodular increase in mesangial matrix (Kimmelstiel-Wilson) without changes described in class IV. Class IV, advanced diabetic glomerulosclerosis: more than 50% global glomerulosclerosis with other clinical or pathologic evidence that sclerosis is attributable to diabetic nephropathy. A good interobserver reproducibility for the four classes of DN was shown (intraclass correlation coefficient = 0.84) in a test of this classification.
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            KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease.

            (2007)
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              Renal histologic changes and the outcome in patients with diabetic nephropathy.

              The progression of diabetic nephropathy (DN) is frequently determined by clinical parameters; however, the predictive value of histologic lesions remains largely unknown. Our aim was to evaluate the relationship between histologic changes and renal outcome in patients with type 2 diabetes mellitus (T2DM).
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                Author and article information

                Journal
                J Diabetes Res
                J Diabetes Res
                JDR
                Journal of Diabetes Research
                Hindawi Publishing Corporation
                2314-6745
                2314-6753
                2017
                20 February 2017
                : 2017
                : 8637138
                Affiliations
                1Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
                2Shanghai Institute for Kidneys and Dialysis, Shanghai, China
                Author notes

                Academic Editor: Carlos Martinez Salgado

                Author information
                http://orcid.org/0000-0002-0407-1346
                http://orcid.org/0000-0002-8713-4399
                http://orcid.org/0000-0001-7895-9332
                http://orcid.org/0000-0003-4681-4440
                Article
                10.1155/2017/8637138
                5337846
                28316995
                2db1e043-ca7b-4dd4-8f15-c835427f85f2
                Copyright © 2017 Chenyang Qi et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 1 December 2016
                : 26 January 2017
                Funding
                Funded by: Science and Technology Commission of Shanghai Municipality
                Award ID: 15140902900
                Categories
                Review Article

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