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一种基于临床和组织学严重程度组合来预测IgA肾病患者透析诱导风险的分级系统。

A grading system that predicts the risk of dialysis induction in IgA nephropathy patients based on the combination of the clinical and histological severity.

作者信息

Okonogi Hideo, Kawamura Tetsuya, Joh Kensuke, Koike Kentaro, Miyazaki Yoichi, Ogura Makoto, Tsuboi Nobuo, Hirano Keita, Matsushima Masato, Yokoo Takashi, Horikoshi Satoshi, Suzuki Yusuke, Yasuda Takashi, Shirai Sayuri, Shibata Takanori, Hattori Motoshi, Akioka Yuko, Katafuchi Ritsuko, Hashiguchi Akinori, Hisano Satoshi, Shimizu Akira, Kimura Kenjiro, Maruyama Shoichi, Matsuo Seiichi, Tomino Yasuhiko

机构信息

Division of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.

Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.

出版信息

Clin Exp Nephrol. 2019 Jan;23(1):16-25. doi: 10.1007/s10157-018-1657-0. Epub 2018 Oct 26.

Abstract

Histological classification is essential in the clinical management of immunoglobulin A nephropathy (IgAN). However, there are limitations in predicting the prognosis of IgAN based on histological information alone, which suggests the need for better prognostic models. Therefore, we defined a prognostic model by combining the grade of clinical severity with the histological grading system by the following processes. We included 270 patients and explored the clinical variables associated with progression to end-stage renal disease (ESRD). Then, we created a predictive clinical grading system and defined the risk grades for dialysis induction by a combination of the clinical grade (CG) and the histological grade (HG). A logistic regression analysis revealed that the 24-h urinary protein excretion (UPE) and the estimated glomerular filtration rate (eGFR) were significant independent variables. We selected UPE of 0.5 g/day and eGFR of 60 ml/min/1.73 m as the threshold values for the classification of CG. The risk of progression to ESRD of patients with CG II and III was significantly higher than that of patients with CG I. The patients were then re-classified into nine compartments based on the combination of CG and HG. Furthermore, the nine compartments were grouped into four risk groups. The risk of ESRD in the moderate, high, and super-high-risk groups was significantly higher than that in the low-risk group. Herein, we are giving a detailed description of our grading system for IgA nephropathy that predicted the risk of dialysis based on the combination of CG and HG.

摘要

组织学分类在免疫球蛋白A肾病(IgAN)的临床管理中至关重要。然而,仅基于组织学信息预测IgAN的预后存在局限性,这表明需要更好的预后模型。因此,我们通过以下过程将临床严重程度分级与组织学分级系统相结合,定义了一个预后模型。我们纳入了270例患者,探讨了与进展至终末期肾病(ESRD)相关的临床变量。然后,我们创建了一个预测性临床分级系统,并通过临床分级(CG)和组织学分级(HG)的组合定义了透析诱导的风险等级。逻辑回归分析显示,24小时尿蛋白排泄量(UPE)和估计肾小球滤过率(eGFR)是显著的独立变量。我们选择0.5 g/天的UPE和60 ml/min/1.73 m²的eGFR作为CG分类的阈值。CG II和III级患者进展至ESRD的风险显著高于CG I级患者。然后,根据CG和HG的组合将患者重新分类为九个类别。此外,这九个类别被分为四个风险组。中、高和超高风险组的ESRD风险显著高于低风险组。在此,我们详细描述了我们基于CG和HG组合预测IgA肾病透析风险的分级系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d35/6344391/09b270987074/10157_2018_1657_Fig1_HTML.jpg

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