Ma Y-C, Zuo L, Su Z-M, Chen L, Meng S, Li J-J, Zhang C-L, Wang H-Y
Department of Nephrology, China Rehabilitation Research Center, BeiJing BoAi Hospital, Capital Medical University Rehabilitation Medical College.
Clin Nephrol. 2011 Oct;76(4):296-305. doi: 10.5414/cn106912.
Our previous work showed that the performance of MDRD equations could be improved by modifying the original MDRD equation. However, during the modification we recognized that reference GFR (rGFR) distribution was not similar between the MDRD study and the Chinese Estimating GFR (eGFR) Investigation Study. This present study was designed to illustrate that the GFR estimating equation might be influenced by the difference of rGFR distribution in the development population. Racial factors might not be as important as once thought.
The Chinese eGFR Investigation Study dataset containing 684 CKD patients was defined as Dataset I, the modified MDRD equation for Chinese was defined as Equation 1. Datasets II and III were generated respectively by deleting 125 cases of CKD Stage 1 from Dataset I and by adding 297 cases of apparently healthy Chinese adults into Dataset I. eGFR was estimated using Equation 1. Using rGFR as dependent and eGFR as independent, linear regression models were constructed using Dataset II and Dataset III, respectively, and generated Equation 2 and Equation 3. The prevalence of eGFR less than 60 ml/min/1.73 m2 in the adult Beijing population was calculated using Equation 1, 2 and 3.
The previous reported prevalence of decreased GFR using Equation 1 in the Beijing adult population was 1.3% (0.8 - 1.8). By using Equation 2 and Equation 3, the prevalence increased to 3.2% (2.49 - 4.13) and decreased to 0.8% (0.57 - 1.28), respectively.
GFR estimating equation was influenced by rGFR distribution of the development dataset.
我们之前的研究表明,通过修改原始的MDRD方程可以提高其性能。然而,在修改过程中我们认识到,MDRD研究与中国估算肾小球滤过率(eGFR)调查研究中参考肾小球滤过率(rGFR)的分布并不相似。本研究旨在说明,肾小球滤过率估算方程可能会受到开发人群中rGFR分布差异的影响。种族因素可能并不像曾经认为的那么重要。
将包含684例慢性肾脏病(CKD)患者的中国eGFR调查研究数据集定义为数据集I,将修改后的中国MDRD方程定义为方程1。分别通过从数据集I中删除125例CKD 1期病例以及向数据集I中添加297例表面健康的中国成年人来生成数据集II和数据集III。使用方程1估算eGFR。分别以rGFR为因变量、eGFR为自变量,使用数据集II和数据集III构建线性回归模型,并生成方程2和方程3。使用方程1、2和3计算北京成年人群中eGFR低于60 ml/min/1.73 m2的患病率。
之前报道使用方程1在北京成年人群中肾小球滤过率降低的患病率为1.3%(0.8 - 1.8)。使用方程2和方程3时,患病率分别增至3.2%(2.49 - 4.13)和降至0.8%(0.57 - 1.28)。
肾小球滤过率估算方程受开发数据集的rGFR分布影响。