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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
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Biology of Sex Differences

ISSN: 2042-6410

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