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估算的肾小球滤过率受非传统心血管危险因素的影响而存在偏差。

Estimated GFR is biased by non-traditional cardiovascular risk factors.

作者信息

Melsom Toralf, Fuskevåg Ole Martin, Mathisen Ulla Dorte, Strand Harald, Schei Jørgen, Jenssen Trond, Solbu Marit, Eriksen Bjørn Odvar

机构信息

Department of Nephrology, University Hospital of North Norway, UNN, Tromsø Norway.

出版信息

Am J Nephrol. 2015;41(1):7-15. doi: 10.1159/000371557. Epub 2015 Jan 23.

DOI:10.1159/000371557
PMID:25612475
Abstract

BACKGROUND

Estimated glomerular filtration rate (eGFR) based on either cystatin C or creatinine performs similarly in estimating measured GFR, but associate differently with cardiovascular disease (CVD) and mortality. This could be due to confounding by non-GFR-related traits associated with cystatin C and creatinine levels. We investigated non-GFR-related associations between eGFR and two types of nontraditional risk factors for CVD and death: L-arginine/dimethylarginine metabolism and insulin resistance.

METHODS

GFR was measured via iohexol clearance in a cross-sectional study of 1,624 middle-aged persons from the general population without CVD, diabetes or chronic kidney disease. The dimethylarginines were measured using liquid chromatography tandem mass spectrometry (LC-MSMS). Insulin resistance was determined by the homeostasis model assessment (HOMA-IR).

RESULTS

Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), the L-arginine/ADMA ratio and insulin resistance were associated with creatinine-based eGFR after accounting for measured GFR in multivariable adjusted analyses. The cystatin C-based eGFR showed a similar residual association with SDMA; an oppositely directed, borderline significant association with ADMA; and a stronger residual association with insulin resistance compared with eGFR based on creatinine.

CONCLUSION

Both creatinine- and cystatin C-based eGFR are influenced by nontraditional risk factors, which may bias risk prediction by eGFR in longitudinal studies.

摘要

背景

基于胱抑素C或肌酐的估计肾小球滤过率(eGFR)在估计实测肾小球滤过率方面表现相似,但与心血管疾病(CVD)和死亡率的关联不同。这可能是由于与胱抑素C和肌酐水平相关的非肾小球滤过率相关特征的混杂作用。我们研究了eGFR与两种非传统的心血管疾病和死亡风险因素之间的非肾小球滤过率相关关联:L-精氨酸/二甲基精氨酸代谢和胰岛素抵抗。

方法

在一项横断面研究中,通过碘海醇清除率测量了1624名来自普通人群、无心血管疾病、糖尿病或慢性肾脏病的中年人的肾小球滤过率。使用液相色谱串联质谱法(LC-MSMS)测量二甲基精氨酸。通过稳态模型评估(HOMA-IR)确定胰岛素抵抗。

结果

在多变量调整分析中,在考虑实测肾小球滤过率后,不对称二甲基精氨酸(ADMA)、对称二甲基精氨酸(SDMA)、L-精氨酸/ADMA比值和胰岛素抵抗与基于肌酐的eGFR相关。基于胱抑素C的eGFR与SDMA显示出类似的残余关联;与ADMA呈相反方向的、临界显著的关联;与基于肌酐的eGFR相比,与胰岛素抵抗的残余关联更强。

结论

基于肌酐和胱抑素C的eGFR均受非传统风险因素的影响,这可能会在纵向研究中使eGFR的风险预测产生偏差。

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