Table 2 Logistic regression models for the association of cardiometabolic biomarkers with diabetic kidney disease

OR

95% CI

P value

OR

95% CI

P value

OR

95% CI

P value

OR

95% CI

P value

Model 1

per unit increase

1.09

1.06–1.12

< 0.001

1.46

1.14–1.88

0.003

1.79

1.64–1.95

< 0.001

1.07

1.05–1.09

< 0.001

Tertile 1

Reference

Reference

Reference

Reference

Tertile 2

1.31

1.10–1.56

0.003

0.84

0.71-1.00

0.048

1.20

1.00-1.45

0.054

1.60

1.25–2.05

< 0.001

Tertile 3

2.17

1.83–2.57

< 0.001

1.30

1.11–1.51

0.001

2.60

2.19–3.10

< 0.001

2.95

2.32–3.75

< 0.001

P for trend

< 0.001

0.005

0.004

< 0.001

Model 2

per unit increase

1.09

1.05–1.13

< 0.001

1.60

1.13–2.27

0.008

1.70

1.50–1.93

< 0.001

1.04

1.02–1.07

0.001

Tertile 1

Reference

Reference

Reference

Reference

Tertile 2

0.98

0.76–1.25

0.855

0.98

0.76–1.25

0.855

1.01

0.76–1.34

0.949

1.27

0.88–1.84

0.206

Tertile 3

1.59

1.22–2.08

0.001

1.30

1.03–1.64

0.028

2.00

1.53–2.61

< 0.001

2.47

1.70–3.59

< 0.001

P for trend

0.002

0.003

0.006

0.005

Model 3

per unit increase

1.08

1.04–1.12

< 0.001

1.63

1.14–2.32

0.007

1.62

1.43–1.84

< 0.001

1.03

1.01–1.06

0.009

Tertile 1

Reference

Reference

Reference

Reference

Tertile 2

1.00

0.95–1.06

0.968

1.15

0.89–1.48

0.295

1.01

0.76–1.35

0.944

1.25

0.86–1.81

0.252

Tertile 3

1.08

1.02–1.14

0.005

1.42

1.12–1.81

0.004

1.86

1.42–2.45

< 0.001

2.24

1.52–3.30

< 0.001

P for trend

0.014

0.012

0.009

0.023