Tamara van Donge

Chapter 10 220 Table S6: Continued Linear regression models Univariate analysis Slope [95%] SD p-value Log transformed biomarkers SCR, µmol/L sex -0.06 [-0.2 – 0.07] 0.4 ns age 0.07 [0.06 – 0.08] 0.2 *** age 2 - - - weight 0.01 [0.013 – 0.017] 0.25 *** KIM-1, ng/L sex 0.41 [-0.13 – 0.94] 1.399 ns age -0.06 [-0.11 - -0.009] 1.37 * age 2 - - - weight -0.01 -0.02 - -0.003[ 1.37 * Piecewise regression models CYSC, mg/L Age part1 Age part2 sex breakpt -0.27 [-0.5 - -0.04] 0.003 [-0.003 – 0.009] 0.044 [-0.004 – 0.092] 1.762 [1.18 – 2.34] 0.129 * AIC: 150.58