Table 2 Correlation and multivariable regression analyses for proteinuria, eGFR and urinary FABP4 (n = 81)

Age

0.44

< 0.01

0.14

0.12

−0.63

< 0.01

−0.21

0.02

0.42

< 0.01

0.07

0.44

Sex (Male)

–

–

− 0.06

0.42

–

–

0.19

0.03

–

–

0.14

0.10

Body mass index

0.19

0.07

n.s.

–

−0.06

0.58

–

–

−0.09

0.43

–

–

Systolic blood pressure

0.38

< 0.01

n.s.

–

−0.44

< 0.01

n.s.

–

0.43

< 0.01

n.s.

–

Diastolic blood pressure

0.24

0.02

–

–

−0.23

0.38

–

–

0.24

0.04

–

–

Total cholesterol

0.48

< 0.01

0.38

< 0.01

0.02

0.83

–

–

0.07

0.53

–

–

log Triglycerides

0.41

< 0.01

–

–

−0.23

0.03

n.s.

–

0.28

0.02

n.s.

–

Fasting glucose

0.04

0.67

–

–

0.01

0.95

–

–

0.08

0.50

–

–

eGFR

−0.43

< 0.01

n.s.

–

–

–

–

–

−0.56

< 0.01

− 0.25

0.03

log Proteinuria

–

–

–

–

−0.43

< 0.01

n.s.

–

0.58

< 0.01

0.11

0.03

log Plasma FABP4

0.45

< 0.01

n.s.

–

−0.69

< 0.01

− 0.34

< 0.01

0.55

< 0.01

0.20

0.07

log Urinary FABP4

0.53

< 0.01

0.43

< 0.01

−0.56

< 0.01

−0.25

0.04

–

–

–

–

log Urinary FABP1

0.55

< 0.01

0.24

0.12

−0.48

< 0.01

−0.01

0.94

0.52

< 0.01

0.28

< 0.01