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β痕迹蛋白在估计老年人肾小球滤过率方面并不优于肌酐和胱抑素 C。

Beta Trace Protein does not outperform Creatinine and Cystatin C in estimating Glomerular Filtration Rate in Older Adults.

机构信息

Institute of Public Health, Charité University Medicine, Berlin, Germany.

Institute of Clinical Epidemiology and Medical Biostatistics, Eberhard Karls University, Tübingen, Germany.

出版信息

Sci Rep. 2017 Oct 4;7(1):12656. doi: 10.1038/s41598-017-12645-4.

Abstract

Despite intense research the optimal endogenous biomarker for glomerular filtration rate (GFR) estimation has not been identified yet. We analyzed if ß-trace protein (BTP) improved GFR estimation in elderly. 566 participants aged 70+ from the population-based Berlin Initiative Study were included in a cross-sectional validation study. BTP, standardized creatinine and cystatin C were measured in participants with iohexol clearance measurement as gold standard method for measured GFR (mGFR). In a double logarithmic linear model prediction of mGFR by BTP was assessed. Analyses with BTP only and combined with creatinine and cystatin C were performed. Additionally, performance of GFR estimating equations was compared to mGFR. We found that the combination of all three biomarkers showed the best prediction of mGFR (r = 0.83), whereat the combination of creatinine and cystatin C provided only minimally diverging results (r = 0.82). Single usage of BTP showed worst prediction (r = 0.67) within models with only one biomarker. Subgroup analyses (arterial hypertension, diabetes, body mass index ≤23 and >30) demonstrated a slight additional benefit of including BTP into the prediction model for diabetic, hypertensive and lean patients. Among BTP-containing GFR equations the Inker BTP-based equation showed superior performance. Especially the use of cystatin C renders the addition of BTP unnecessary.

摘要

尽管进行了深入研究,但仍未确定用于肾小球滤过率(GFR)估计的最佳内源性生物标志物。我们分析了β-微量蛋白(BTP)是否可以改善老年人的 GFR 估计。本横断面验证研究纳入了来自基于人群的柏林倡议研究的 566 名 70 岁以上的参与者。在接受碘海醇清除率测量的参与者中测量了 BTP、标准化肌酐和胱抑素 C,作为测量肾小球滤过率(mGFR)的金标准方法。在双对数线性模型中评估了 BTP 对 mGFR 的预测。仅使用 BTP 进行分析,并与肌酐和胱抑素 C 联合进行分析。此外,还比较了 GFR 估计方程与 mGFR 的性能。我们发现,将所有三种生物标志物结合使用可实现 mGFR 的最佳预测(r=0.83),而肌酐和胱抑素 C 的组合仅提供略微不同的结果(r=0.82)。在仅使用一种生物标志物的模型中,BTP 的单独使用显示出最差的预测(r=0.67)。亚组分析(高血压、糖尿病、BMI≤23 和>30)表明,在糖尿病、高血压和瘦弱患者的预测模型中纳入 BTP 具有轻微的额外益处。在包含 BTP 的 GFR 方程中,Inker BTP 为基础的方程表现出优越的性能。特别是胱抑素 C 的使用使得添加 BTP 变得不必要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72c3/5627233/32b4aa7a3e00/41598_2017_12645_Fig1_HTML.jpg

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