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本文引用的文献

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Iohexol Clearance for the Determination of Glomerular Filtration Rate: 15 Years' Experience in Clinical Practice.碘海醇清除率用于测定肾小球滤过率:15年临床实践经验
EJIFCC. 2001 Jul 22;13(2):48-52. eCollection 2001 Jul.
2
Cystatin C is not a better estimator of GFR than plasma creatinine in the general population.胱抑素 C 不比血浆肌酐更能估计一般人群的肾小球滤过率。
Kidney Int. 2010 Dec;78(12):1305-11. doi: 10.1038/ki.2010.321. Epub 2010 Sep 15.
3
Measured GFR as a confirmatory test for estimated GFR.测量的肾小球滤过率作为估算肾小球滤过率的确认性检查。
J Am Soc Nephrol. 2009 Nov;20(11):2305-13. doi: 10.1681/ASN.2009020171. Epub 2009 Oct 15.
4
Method of glomerular filtration rate estimation affects prediction of mortality risk.肾小球滤过率估算方法影响死亡风险预测。
J Am Soc Nephrol. 2009 Oct;20(10):2214-22. doi: 10.1681/ASN.2008090980. Epub 2009 Sep 17.
5
Cystatin C and cardiovascular risk.胱抑素C与心血管风险。
Clin Chem. 2009 Nov;55(11):1932-43. doi: 10.1373/clinchem.2009.128397. Epub 2009 Aug 27.
6
Comparison of GFR measurements assessed from single versus multiple samples.单次与多次样本评估的肾小球滤过率测量值比较。
Am J Kidney Dis. 2009 Aug;54(2):278-88. doi: 10.1053/j.ajkd.2009.03.026.
7
A new equation to estimate glomerular filtration rate.一种估算肾小球滤过率的新公式。
Ann Intern Med. 2009 May 5;150(9):604-12. doi: 10.7326/0003-4819-150-9-200905050-00006.
8
Factors other than glomerular filtration rate affect serum cystatin C levels.除肾小球滤过率外的其他因素会影响血清胱抑素C水平。
Kidney Int. 2009 Mar;75(6):652-60. doi: 10.1038/ki.2008.638. Epub 2008 Dec 31.
9
Analytical study of three cystatin C assays and their impact on cystatin C-based GFR-prediction equations.三种胱抑素C检测方法的分析研究及其对基于胱抑素C的肾小球滤过率预测方程的影响。
Clin Chim Acta. 2008 Dec;398(1-2):118-24. doi: 10.1016/j.cca.2008.09.001. Epub 2008 Sep 6.
10
Association between cigarette smoking and chronic kidney disease in Japanese men.日本男性吸烟与慢性肾脏病之间的关联。
Hypertens Res. 2008 Mar;31(3):485-92. doi: 10.1291/hypres.31.485.

估算的肾小球滤过率与心血管风险因素相关,而不依赖于实测的肾小球滤过率。

Estimated GFR associates with cardiovascular risk factors independently of measured GFR.

机构信息

Section of Nephrology, Division of Internal Medicine, University Hospital of North Norway, N-9038 Tromsø, Norway.

出版信息

J Am Soc Nephrol. 2011 May;22(5):927-37. doi: 10.1681/ASN.2010050479. Epub 2011 Mar 31.

DOI:10.1681/ASN.2010050479
PMID:21454717
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3083314/
Abstract

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.

摘要

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。