Development and validation of new glomerular filtration rate predicting models for Chinese patients with type 2 diabetes.
Development and validation of new glomerular filtration rate predicting models for Chinese patients with type 2 diabetes.
复制标题
中国2型糖尿病患者新肾小球滤过率预测模型的开发和验证
DOI：
10.1186/s12967-015-0674-y
复制
发表时间：
2015-09-28
影响因子：
7.4
通讯作者：
Lou T
中科院分区：
文献类型：
--
作者：
Chen J;Tang H;Huang H;Lv L;Wang Y;Liu X;Lou T
背景以往的研究表明，推荐的肾小球滤过率（GFR）估计方程在2型糖尿病人群中的表现不如非糖尿病人群。我们试图开发新的GFR预测模型用于中国2型糖尿病患者在this study.MethodsWe招募了519名2型糖尿病患者，包括一个开发数据集（n = 276），一个内部验证数据集（n = 138）和一个外部验证数据集（n = 105），以建立新的GFR预测模型。结果根据性别、年龄、血清肌酐和新的预测变量[体重指数（BMI）、血红蛋白A1 C和尿白蛋白肌酐比值]，建立了8个新的回归模型和8个人工神经网络（ANN）模型。在外部验证组中，只有ANN 3在精密度和准确度方面上级原始CKD-EPI方程（精密度：20.5 vs. 24.2 mL/min/1.73 m2，P< 0.001; 30%的准确率，88.6 vs. 80.6%，P= 0.02）。血清肌酐和BMI是估计中国2型糖尿病患者GFR的最佳模型。
BackgroundPrevious researches has depicted that the performance of the recommended glomerular filtration rate (GFR)-estimating equations in the type 2 diabetic population is inferior to that in the non-diabetic population. We attempted to develop new GFR-predicting models for use in Chinese patients with type 2 diabetes in this study.MethodsWe enrolled 519 type 2 diabetic patients including a development data-set (n = 276), an internal validation data-set (n = 138) and an external validation data-set (n = 105) to establish new GFR-predicting models. 99mTc-DTPA-GFR revised by the dual sample method was referred to as the gold GFR standard.ResultsBased on sex, age, serum creatinine and new predictor variables [body mass index (BMI), hemoglobinA1C, and urinary albumin creatinine ratio], eight new regression models and eight artificial neural network (ANN) models were developed. In the external validation group, only ANN3 was superior in both precision and accuracy over the original CKD-EPI equation (precision, 20.5 vs. 24.2 mL/min/1.73 m2,P< 0.001; 30 % accuracy, 88.6 vs. 80.6 %,P= 0.02).ConclusionsANN3 based on sex, age, serum creatinine and BMI is the optimal model for GFR estimation in Chinese patients with type 2 diabetes.