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A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy
BACKGROUND AND OBJECTIVES: The impact of the newly proposed pathological classification by the Japan Renal Pathology Society (JRPS) on renal outcome is unclear. So we evaluated that impact and created a new pathological scoring to predict outcome using this classification. DESIGN, SETTING, PARTICIPA...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800536/ https://www.ncbi.nlm.nih.gov/pubmed/29408865 http://dx.doi.org/10.1371/journal.pone.0190923 |
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author | Hoshino, Junichi Furuichi, Kengo Yamanouchi, Masayuki Mise, Koki Sekine, Akinari Kawada, Masahiro Sumida, Keiichi Hiramatsu, Rikako Hasegawa, Eiko Hayami, Noriko Suwabe, Tatsuya Sawa, Naoki Hara, Shigeko Fujii, Takeshi Ohashi, Kenichi Kitagawa, Kiyoki Toyama, Tadashi Shimizu, Miho Takaichi, Kenmei Ubara, Yoshifumi Wada, Takashi |
author_facet | Hoshino, Junichi Furuichi, Kengo Yamanouchi, Masayuki Mise, Koki Sekine, Akinari Kawada, Masahiro Sumida, Keiichi Hiramatsu, Rikako Hasegawa, Eiko Hayami, Noriko Suwabe, Tatsuya Sawa, Naoki Hara, Shigeko Fujii, Takeshi Ohashi, Kenichi Kitagawa, Kiyoki Toyama, Tadashi Shimizu, Miho Takaichi, Kenmei Ubara, Yoshifumi Wada, Takashi |
author_sort | Hoshino, Junichi |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: The impact of the newly proposed pathological classification by the Japan Renal Pathology Society (JRPS) on renal outcome is unclear. So we evaluated that impact and created a new pathological scoring to predict outcome using this classification. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A multicenter cohort of 493 biopsy-proven Japanese patients with diabetic nephropathy (DN) were analyzed. The association between each pathological factor—Tervaert’ and JRPS classifications—and renal outcome (dialysis initiation or 50% eGFR decline) was estimated by adjusted Cox regression. The overall pathological risk score (J-score) was calculated, whereupon its predictive ability for 10-year risk of renal outcome was evaluated. RESULTS: The J-scores of diffuse lesion classes 2 or 3, GBM doubling class 3, presence of mesangiolysis, polar vasculosis, and arteriolar hyalinosis were, respectively, 1, 2, 4, 1, and 2. The scores of IFTA classes 1, 2, and 3 were, respectively, 3, 4, and 4, and those of interstitial inflammation classes 1, 2, and 3 were 5, 5, and 4 (J-score range, 0–19). Renal survival curves, when dividing into four J-score grades (0–5, 6–10, 11–15, and 16–19), were significantly different from each other (p<0.01, log-rank test). After adjusting clinical factors, the J-score was a significant predictor of renal outcome. Ability to predict 10-year renal outcome was improved when the J-score was added to the basic model: c-statistics from 0.661 to 0.685; category-free net reclassification improvement, 0.154 (-0.040, 0.349, p = 0.12); and integrated discrimination improvement, 0.015 (0.003, 0.028, p = 0.02). CONCLUSIONS: Mesangiolysis, polar vasculosis, and doubling of GBM—features of the JRPS system—were significantly associated with renal outcome. Prediction of DN patients’ renal outcome was better with the J-score than without it. |
format | Online Article Text |
id | pubmed-5800536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58005362018-02-23 A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy Hoshino, Junichi Furuichi, Kengo Yamanouchi, Masayuki Mise, Koki Sekine, Akinari Kawada, Masahiro Sumida, Keiichi Hiramatsu, Rikako Hasegawa, Eiko Hayami, Noriko Suwabe, Tatsuya Sawa, Naoki Hara, Shigeko Fujii, Takeshi Ohashi, Kenichi Kitagawa, Kiyoki Toyama, Tadashi Shimizu, Miho Takaichi, Kenmei Ubara, Yoshifumi Wada, Takashi PLoS One Research Article BACKGROUND AND OBJECTIVES: The impact of the newly proposed pathological classification by the Japan Renal Pathology Society (JRPS) on renal outcome is unclear. So we evaluated that impact and created a new pathological scoring to predict outcome using this classification. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A multicenter cohort of 493 biopsy-proven Japanese patients with diabetic nephropathy (DN) were analyzed. The association between each pathological factor—Tervaert’ and JRPS classifications—and renal outcome (dialysis initiation or 50% eGFR decline) was estimated by adjusted Cox regression. The overall pathological risk score (J-score) was calculated, whereupon its predictive ability for 10-year risk of renal outcome was evaluated. RESULTS: The J-scores of diffuse lesion classes 2 or 3, GBM doubling class 3, presence of mesangiolysis, polar vasculosis, and arteriolar hyalinosis were, respectively, 1, 2, 4, 1, and 2. The scores of IFTA classes 1, 2, and 3 were, respectively, 3, 4, and 4, and those of interstitial inflammation classes 1, 2, and 3 were 5, 5, and 4 (J-score range, 0–19). Renal survival curves, when dividing into four J-score grades (0–5, 6–10, 11–15, and 16–19), were significantly different from each other (p<0.01, log-rank test). After adjusting clinical factors, the J-score was a significant predictor of renal outcome. Ability to predict 10-year renal outcome was improved when the J-score was added to the basic model: c-statistics from 0.661 to 0.685; category-free net reclassification improvement, 0.154 (-0.040, 0.349, p = 0.12); and integrated discrimination improvement, 0.015 (0.003, 0.028, p = 0.02). CONCLUSIONS: Mesangiolysis, polar vasculosis, and doubling of GBM—features of the JRPS system—were significantly associated with renal outcome. Prediction of DN patients’ renal outcome was better with the J-score than without it. Public Library of Science 2018-02-06 /pmc/articles/PMC5800536/ /pubmed/29408865 http://dx.doi.org/10.1371/journal.pone.0190923 Text en © 2018 Hoshino et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hoshino, Junichi Furuichi, Kengo Yamanouchi, Masayuki Mise, Koki Sekine, Akinari Kawada, Masahiro Sumida, Keiichi Hiramatsu, Rikako Hasegawa, Eiko Hayami, Noriko Suwabe, Tatsuya Sawa, Naoki Hara, Shigeko Fujii, Takeshi Ohashi, Kenichi Kitagawa, Kiyoki Toyama, Tadashi Shimizu, Miho Takaichi, Kenmei Ubara, Yoshifumi Wada, Takashi A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title | A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title_full | A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title_fullStr | A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title_full_unstemmed | A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title_short | A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy |
title_sort | new pathological scoring system by the japanese classification to predict renal outcome in diabetic nephropathy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800536/ https://www.ncbi.nlm.nih.gov/pubmed/29408865 http://dx.doi.org/10.1371/journal.pone.0190923 |
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