Literature DB >> 26067713

A pathological scoring system to predict renal outcome in diabetic nephropathy.

Junichi Hoshino1, Koki Mise, Toshiharu Ueno, Aya Imafuku, Masahiro Kawada, Keiichi Sumida, Rikako Hiramatsu, Eiko Hasegawa, Masayuki Yamanouchi, Noriko Hayami, Tatsuya Suwabe, Naoki Sawa, Shigeko Hara, Takeshi Fujii, Kenichi Ohashi, Yoshifumi Ubara, Kenmei Takaichi.   

Abstract

BACKGROUND: With the association between diabetic nephropathy (DN) and renal outcome being increasingly clear, we aimed at creating a new DN pathological scoring system that could predict the renal outcome.
METHODS: We studied 205 patients with DN confirmed by renal biopsy, sometime between March 1985 and January 2010, who met the inclusion criteria. Renal biopsy included clinical parameters and Tervaert classifications. Hazard ratios (HRs) for death-censored end-stage renal disease (ESRD) were estimated by adjusted Cox proportional-hazards regression. The overall pathological risk score (D-score) was calculated by summing the products of beta coefficient and bootstrap-inclusion fractions, its predictive utility evaluated by Kaplan-Meier methods and c-statistics for a 10-year risk of ESRD.
RESULTS: The D-scores of glomerular classes 1, 2A, 2B, 3, and 4 were, respectively, 0, 3, 4, 6, and 6. Those of interstitial fibrosis and tubular atrophy classes 0, 1, 2, and 3 were 0, 7, 9, and 11, and those of interstitial inflammation classes 0, 1, and 2 were 0, 3, and 4, respectively. The D-score of hyalinosis class 2 was 3 and that of arteriosclerosis class 2 was 1. So, a patient's D-score could be 0-25. HRs for ESRD in patients with D-score ≤14, 15-18, 19-21, and 22-25 were, respectively, 1.00 (reference) 16.21 (95% confidence interval (CI), 1.86-140.90), 19.78 (95% CI, 2.15-182.40), and 45.46 (95% CI, 4.63-446.68) after adjusting for clinical factors. The c-statistics suggested a better predictive ability for a 10-year renal death with models that included the D-score.
CONCLUSION: Prediction of DN patients' renal outcome was better with the D-score than without it. Patients with a D-score ≤14 had excellent renal prognosis.
© 2015 S. Karger AG, Basel.

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Year:  2015        PMID: 26067713     DOI: 10.1159/000431333

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  17 in total

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4.  Paratubular basement membrane insudative lesions predict renal prognosis in patients with type 2 diabetes and biopsy-proven diabetic nephropathy.

Authors:  Koki Mise; Yutaka Yamaguchi; Junichi Hoshino; Toshiharu Ueno; Akinari Sekine; Keiichi Sumida; Masayuki Yamanouchi; Noriko Hayami; Tatsuya Suwabe; Rikako Hiramatsu; Eiko Hasegawa; Naoki Sawa; Takeshi Fujii; Shigeko Hara; Hitoshi Sugiyama; Hirofumi Makino; Jun Wada; Kenichi Ohashi; Kenmei Takaichi; Yoshifumi Ubara
Journal:  PLoS One       Date:  2017-08-15       Impact factor: 3.240

5.  Effect of echinacoside on kidney fibrosis by inhibition of TGF-β1/Smads signaling pathway in the db/db mice model of diabetic nephropathy.

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6.  A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy.

Authors:  Junichi Hoshino; Kengo Furuichi; Masayuki Yamanouchi; Koki Mise; Akinari Sekine; Masahiro Kawada; Keiichi Sumida; Rikako Hiramatsu; Eiko Hasegawa; Noriko Hayami; Tatsuya Suwabe; Naoki Sawa; Shigeko Hara; Takeshi Fujii; Kenichi Ohashi; Kiyoki Kitagawa; Tadashi Toyama; Miho Shimizu; Kenmei Takaichi; Yoshifumi Ubara; Takashi Wada
Journal:  PLoS One       Date:  2018-02-06       Impact factor: 3.240

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Review 8.  Immune Cells and Inflammation in Diabetic Nephropathy.

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9.  Value of adding the renal pathological score to the kidney failure risk equation in advanced diabetic nephropathy.

Authors:  Masayuki Yamanouchi; Junichi Hoshino; Yoshifumi Ubara; Kenmei Takaichi; Keiichi Kinowaki; Takeshi Fujii; Kenichi Ohashi; Koki Mise; Tadashi Toyama; Akinori Hara; Kiyoki Kitagawa; Miho Shimizu; Kengo Furuichi; Takashi Wada
Journal:  PLoS One       Date:  2018-01-16       Impact factor: 3.240

Review 10.  Introduction to clinical research based on modern epidemiology.

Authors:  Junichi Hoshino
Journal:  Clin Exp Nephrol       Date:  2020-03-24       Impact factor: 2.801

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