Institute of Public Health, Charité University Medicine, Berlin, Germany.
Institute of Clinical Epidemiology and Medical Biostatistics, Eberhard Karls University, Tübingen, Germany.
Sci Rep. 2017 Oct 4;7(1):12656. doi: 10.1038/s41598-017-12645-4.
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.
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。