Section of Nephrology, Division of Internal Medicine, University Hospital of North Norway, N-9038 Tromsø, Norway.
J Am Soc Nephrol. 2011 May;22(5):927-37. doi: 10.1681/ASN.2010050479. Epub 2011 Mar 31.
Estimation of the GFR (eGFR) using creatinine- or cystatin C-based equations is imperfect, especially when the true GFR is normal or near-normal. Modest reductions in eGFR from the normal range variably predict cardiovascular morbidity. If eGFR associates not only with measured GFR (mGFR) but also with cardiovascular risk factors, the effects of these non-GFR-related factors might bias the association between eGFR and outcome. To investigate these potential non-GFR-related associations between eGFR and cardiovascular risk factors, we measured GFR by iohexol clearance in a sample from the general population (age 50 to 62 years) without known cardiovascular disease, diabetes, or kidney disease. Even after adjustment for mGFR, eGFR associated with traditional cardiovascular risk factors in multiple regression analyses. More risk factors influenced cystatin C-based eGFR than creatinine-based eGFR, adjusted for mGFR, and some of the risk factors exhibited nonlinear effects in generalized additive models (P<0.05). These results suggest that eGFR, calculated using standard creatinine- or cystatin C-based equations, partially depends on factors other than the true GFR. Thus, estimates of cardiovascular risk associated with small changes in eGFR must be interpreted with caution.
使用基于肌酐或胱抑素 C 的方程估算肾小球滤过率(eGFR)并不完美,尤其是在真实 GFR 正常或接近正常时。eGFR 从正常范围略有下降可预测心血管发病率。如果 eGFR 不仅与实测肾小球滤过率(mGFR)相关,还与心血管危险因素相关,那么这些与 GFR 无关的因素的影响可能会使 eGFR 与结局之间的关联产生偏差。为了研究 eGFR 与心血管危险因素之间这些潜在的与 GFR 无关的关联,我们在无已知心血管疾病、糖尿病或肾脏疾病的一般人群(50 至 62 岁)样本中使用 iohexol 清除率来测量 GFR。即使在调整 mGFR 后,eGFR 仍与多元回归分析中的传统心血管危险因素相关。与肌酐相比,调整 mGFR 后,更多的危险因素影响基于胱抑素 C 的 eGFR,并且在广义加性模型中一些危险因素表现出非线性效应(P<0.05)。这些结果表明,使用基于肌酐或胱抑素 C 的标准方程计算的 eGFR 在一定程度上取决于除真实 GFR 以外的因素。因此,必须谨慎解释与 eGFR 微小变化相关的心血管风险估计值。