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

机译:根据临床和组织学严重程度的组合来预测IgA肾病患者透析诱导风险的分级系统

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摘要

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 m2 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.
机译:组织学分类对于免疫球蛋白A肾病(IgAN)的临床管理至关重要。但是,仅基于组织学信息预测IgAN的预后存在局限性,这提示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等级与组织学分级系统相结合,定义了一种预后模型。我们纳入了270名患者,并探讨了与进展为终末期肾病(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,并结合临床等级(CG)和组织学等级(HG)定义了诱导透析的风险等级。 Logistic回归分析显示,24小时尿蛋白排泄(UPE)和估计的肾小球滤过率(eGFR)是重要的独立变量。我们选择0.5 g / day的UPE和60 ml / min / 1.73 m 2 的eGFR作为CG分类的阈值。 CG II和III患者发展为ESRD的风险显着高于CG I患者。然后根据CG和HG的组合将患者重新分为9个部分。此外,九个隔间被分为四个风险组。中,高和超高风险组的ESRD风险明显高于低风险组。在此,我们将详细介绍IgA肾病分级系统,该系统可根据CG和HG的组合预测透析风险。

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