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
Nephrology Center, Toranomon Hospital, Tokyo, Japan.
Okinaka Memorial Institute for Medical Research, Tokyo, Japan.
PLoS One. 2018 Feb 6;13(2):e0190923. doi: 10.1371/journal.pone.0190923. eCollection 2018.
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.
背景与目的:日本肾脏病理学会(JRPS)新提出的病理分类对肾脏预后的影响尚不清楚。因此,我们评估了这种影响,并使用该分类创建了一种新的病理评分来预测预后。 设计、设置、参与者与测量:对493例经活检证实的日本糖尿病肾病(DN)患者的多中心队列进行了分析。通过调整后的Cox回归估计每个病理因素(特尔瓦特分类和JRPS分类)与肾脏预后(开始透析或估算肾小球滤过率[eGFR]下降50%)之间的关联。计算总体病理风险评分(J评分),并评估其对10年肾脏预后风险的预测能力。 结果:弥漫性病变2级或3级、肾小球基底膜(GBM)增厚3级、存在系膜溶解、极周血管病变和小动脉玻璃样变的J评分分别为1、2、4、1和2。肾小管间质纤维化(IFTA)1级、2级和3级的评分分别为3、4和4,间质炎症1级、2级和3级的评分分别为5、5和4(J评分范围为0 - 19)。当分为四个J评分等级(0 - 5、6 - 10、11 - 15和16 - 19)时,肾脏生存曲线彼此有显著差异(p<0.01,对数秩检验)。在调整临床因素后,J评分是肾脏预后的显著预测指标。将J评分添加到基本模型中时,预测10年肾脏预后的能力有所提高:c统计量从0.661提高到0.685;无类别净重新分类改善为0.154(-0.040,0.349,p = 0.12);综合判别改善为0.015(0.003,0.028,p = 0.02)。 结论:系膜溶解、极周血管病变和GBM增厚(JRPS系统的特征)与肾脏预后显著相关。使用J评分预测DN患者的肾脏预后比不使用时更好。
Medicine (Baltimore). 2019-7
J Diabetes Res. 2022
BMC Complement Med Ther. 2022-4-27
Nephrol Dial Transplant. 2018-1-1
Nephrol Dial Transplant. 2015-2
Diabetes Res Clin Pract. 2014-6
Nephrol Dial Transplant. 2013-10-22