Skip to main content

Table 3 Sex divided linear regression models with biomarkers adjusted to age

From: Role of GDF-15, YKL-40 and MMP 9 in patients with end-stage kidney disease: focus on sex-specific associations with vascular outcomes and all-cause mortality

  Males Females
MMP-9-dependent variable YKL-40-dependent variable
Estimate SE p Estimate SE p
Albumin, g/L − 17.346 6.520 0.012 − 3.852 2.242 0.090
HbA1c, mmol/mmol 6.503 2.841 0.013
Haemoglobin, g/L − 2.794 0.822 0.001
8OHdG − 696.603 213.836 0.005
  GDF-15 dependent variable GDF-15 dependent variable
  Estimate SE p Estimate SE p
eGFR, mL/min/1.73 m2 − 0.184 0.094 0.052
Albumin, g/L − 0.173 0.048 0.001 − 0.106 0.049 0.035
  1. Bold signifies statistical significance p < 0.05
  2. eGFR estimated glomerular filtration rate, HbA1c glycated haemoglobin, 8OHgG 8-hydroxy-2'-deoxyguanosine