Tamara van Donge

Chapter 10 218 Table S6: Linear, nonlinear and piecewise regression models for eight kidney biomarkers, ns: p > 0.05, *: p ≤ 0.05, **: ≤ 0.01, *** p ≤ 0.001, SD: standard deviation Linear regression models Univariate analysis Slope [95%] SD p-value Normally distributed biomarkers ALB, g/L sex 0.88 [-0.6 – 2.37] 4.31 ns age 0.24 [0.08 – 0.38] 4.18 ** age 2 - - - weight 0.05 [0.02 – 0.08] 4.20 ** B2M, mg/L sex 0.11 [-0.006 – 0.23] 0.32 ns age -0.02 [-0.03 – 0.007] 0.31 ** age 2 - - - weight -0.002 [-0.005 – 0.00004] 0.32 ns BTP, mg/L sex 0.07 [0.01 – 0.13] 0.16 * age -0.019 [-0.02 – 0.01] 0.14 *** age 2 - - - weight -0.003 [-0.004 – -0.025] 0.14 *** CYSC , mg/L) sex 0.069 [0.019 – 0.119] 0.14 ** age -0.004 [-0.009 – 0.0012] 0.14 ns age 2 - - - weight -0.0004 [-0.001 – 0.0008] 0.14 ns NGAL, µg/L sex -4.09 [-10.8 – 2.65] 19.6 ns age 0.13 [-0.55 – 0.81] 19.7 ns age 2 - - - weight 0.109 [-0.04 – 0.26] 19.6 ns URO, µg/L sex -2.24 [25.26 – 20.77] 65.8 ns age 0.22 [-2.12 – 2.56] 65.8 ns age 2 - - - weight -0.22 [-0.76 – 0.31] 65.64 ns