Section of Nephrology, University Hospital of North Norway, 9038 Tromsø, Norway.
J Am Soc Nephrol. 2011 Aug;22(8):1517-25. doi: 10.1681/ASN.2010121321. Epub 2011 Jul 22.
The normalization of GFR to a standardized body-surface area of 1.73 m(2) impedes comparison of GFR across individuals of different genders, heights, or weights. Ideally, GFR should be normalized to a parameter that best explains variation in GFR. Here, we measured true GFR by iohexol clearance in a representative sample of 1627 individuals from the general population who did not have diabetes, cardiovascular disease, or kidney disease. We also estimated total body water (TBW), extracellular fluid volume, lean body mass, liver volume, metabolic rate, and body-surface area. We compared two methods of normalizing GFR to these physiologic variables: (1) the conventional method of scaling GFR to each physiologic variable by simple division and (2) a method based on regression of the GFR on each variable. TBW explained a higher proportion of the variation in GFR than the other physiologic variables. GFR adjusted for TBW by the regression method exhibited less dependence on gender, height, and weight compared with the other physiologic variables. Thus, adjusting GFR for TBW by the regression method allows direct comparisons between individuals of different genders, weights, and heights. We propose that regression-based normalization of GFR to a standardized TBW of 40 L should replace the current practice of normalizing GFR to 1.73 m(2) of body-surface area.
GFR 标准化到 1.73 m² 的标准化体表面积会阻碍不同性别、身高或体重的个体之间 GFR 的比较。理想情况下,GFR 应该标准化到最能解释 GFR 变异的参数。在这里,我们在一个没有糖尿病、心血管疾病或肾脏疾病的普通人群的代表性样本中,通过碘海醇清除率测量了真正的 GFR。我们还估计了总体水(TBW)、细胞外液体积、瘦体重、肝体积、代谢率和体表面积。我们比较了两种将 GFR 标准化到这些生理变量的方法:(1)通过简单除法将 GFR 缩放为每个生理变量的常规方法;(2)基于 GFR 对每个变量的回归的方法。TBW 比其他生理变量解释了更高比例的 GFR 变异。与其他生理变量相比,通过回归方法调整 TBW 后的 GFR 对性别、身高和体重的依赖性较小。因此,通过回归方法调整 TBW 后的 GFR 允许不同性别、体重和身高的个体之间进行直接比较。我们建议,将 GFR 回归标准化到 40 L 的标准化 TBW 应该取代当前将 GFR 标准化到 1.73 m² 体表面积的做法。