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首页> 外文期刊>Clinical and experimental nephrology >A grading system that predicts the risk of dialysis induction in IgA nephropathy patients based on the combination of the clinical and histological severity
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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:基于临床和组织学严重程度的组合,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 0.5g/day and eGFR of 60ml/min/1.73m(2) 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的临床管理是一种肾病(Igan)。然而,基于单独的组织学信息预测IGAN的预测存在局限性,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与组织学分级系统组合来定义预后模型。我们包括270名患者,并探索了与进展到终末期肾病(ESRD)相关的临床变量。然后,我们创建了一种预测性临床分级系统,并通过临床等级(CG)和组织学等级(HG)的组合来定义透析诱导的风险等级。逻辑回归分析显示,24-H尿蛋白排泄(UPE)和估计的肾小球过滤速率(EGFR)是显着的独立变量。我们选择了0.5g /天的upe,egfr为60ml / min / 1.73m(2),为CG分类的阈值。 CG II和III患者ESRD的进展的风险显着高于CG I的患者。然后将患者重新分为九个隔间,基于CG和HG的组合。此外,将九个隔间分为四个风险群体。中等,高和超高风险群体中ESRD的风险显着高于低风险组。在此,我们透明描述了我们对IgA肾病的分级系统的详细描述,其基于CG和HG的组合预测透析的风险。

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