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蛋白尿是预测肾癌患者肾功能下降的指标。

Proteinuria is a Predictor of Renal Functional Decline in Patients with Kidney Cancer.

机构信息

Michigan State University College of Human Medicine, Grand Rapids, Michigan.

Spectrum Health Hospital System, Grand Rapids, Michigan.

出版信息

J Urol. 2016 Sep;196(3):658-63. doi: 10.1016/j.juro.2016.03.134. Epub 2016 Mar 24.

Abstract

PURPOSE

Prior studies have shown that 26% to 34% of patients with suspected renal cancers have a glomerular filtration rate less than 60 ml/minute/1.73 m(2) but limited information exists regarding proteinuria. We investigated the extent of proteinuria in patients with renal tumors to determine the impact on the classification and progression of chronic kidney disease.

MATERIALS AND METHODS

Among 1,622 patients evaluated between 1999 and 2014, 1,016 had preoperative creatinine and proteinuria measurements available. Patients were classified according to the risk of chronic kidney disease progression into low, moderately increased, high and very high risk groups according to 2012 KDIGO guidelines. Predictors of risk group and chronic kidney disease progression were analyzed using univariable and multivariate models.

RESULTS

Before treatment 32% had a glomerular filtration rate less than 60 ml/minute/1.73 m(2). Preoperative proteinuria was present in 22%. Proteinuria was detected in 30% with a reduced glomerular filtration rate and 18% with a normal glomerular filtration rate. Among the 44% at increased risk for chronic kidney disease progression 24%, 12% and 8% were at moderately increased, high and very high risk, respectively. The presence of proteinuria also reclassified 25% with stage III chronic kidney disease as high or very high risk. KDIGO classification predicted renal functional decline, which occurred in 2.2%, 4.4%, 9.4% and 34.6% at 3 years in low, moderately increased, high and very high risk categories, respectively. Predictors of KDIGO group included age and tumor size (each p <0.001), and the main predictors of renal functional decline were KDIGO group, tumor size and radical nephrectomy (each p <0.0001).

CONCLUSIONS

Identification of chronic kidney disease using only glomerular filtration rate left 18% of patients undiagnosed. The assessment of glomerular filtration rate and proteinuria classified patients according to risk of chronic kidney disease progression, identifying 44% to be at increased risk. As proteinuria predicted renal functional decline, we advocate for routine evaluation before treatment.

摘要

目的

先前的研究表明,有 26%至 34%的疑似肾癌患者肾小球滤过率(GFR)小于 60ml/min/1.73m²,但有关蛋白尿的信息有限。我们研究了肾肿瘤患者蛋白尿的程度,以确定其对慢性肾脏病(CKD)分类和进展的影响。

材料和方法

在 1999 年至 2014 年间评估的 1622 名患者中,有 1016 名患者术前有肌酐和蛋白尿检测数据。根据 2012 年 KDIGO 指南,根据慢性肾脏病进展的风险,将患者分为低、中度升高、高和极高风险组。使用单变量和多变量模型分析风险组和慢性肾脏病进展的预测因素。

结果

治疗前,有 32%的患者 GFR 小于 60ml/min/1.73m²。术前有 22%的患者存在蛋白尿。在肾小球滤过率降低的患者中,有 30%检测到蛋白尿,在肾小球滤过率正常的患者中,有 18%检测到蛋白尿。在 44%有慢性肾脏病进展风险增加的患者中,分别有 24%、12%和 8%处于中度升高、高和极高风险。蛋白尿的存在还重新分类了 25%的 III 期慢性肾脏病为高或极高风险。KDIGO 分类预测了肾功能下降,在低、中度升高、高和极高风险组中,分别有 2.2%、4.4%、9.4%和 34.6%的患者在 3 年内发生肾功能下降。KDIGO 组的预测因素包括年龄和肿瘤大小(均 p<0.001),肾功能下降的主要预测因素是 KDIGO 组、肿瘤大小和根治性肾切除术(均 p<0.0001)。

结论

仅使用肾小球滤过率识别慢性肾脏病,有 18%的患者未被诊断。肾小球滤过率和蛋白尿的评估根据慢性肾脏病进展的风险对患者进行分类,发现 44%的患者有更高的风险。由于蛋白尿预测了肾功能下降,因此我们提倡在治疗前进行常规评估。

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