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Table 7 Establishment of the logistic regression of all prediction models

From: Using new indices to predict metabolism dysfunction-associated fatty liver disease (MAFLD): analysis of the national health and nutrition examination survey database

Characteristic

ORa

95% CIa

p-value

AAU

 AGTR

0.36

0.33, 0.39

 < 0.001

 AIP

5.39

3.87, 7.50

 < 0.001

 log(UHR)

3.61

2.86, 4.56

 < 0.001

AWB

 BMI

1.01

0.98, 1.03

0.6

 AIP

12.5

9.20, 17.1

 < 0.001

 Waist

1.14

1.13, 1.16

 < 0.001

BAAU

 BMI

1.29

1.27, 1.31

 < 0.001

 AGTR

0.33

0.29, 0.36

 < 0.001

 AIP

6.16

4.16, 9.14

 < 0.001

log(UHR)

1.91

1.44, 2.54

 < 0.001

WAAU

 Waist

1.15

1.14, 1.16

 < 0.001

 AGTR

0.33

0.29, 0.37

 < 0.001

 AIP

6.64

4.29, 10.3

 < 0.001

 log(UHR)

1.26

0.92, 1.74

0.2

BWAAU

 BMI

1.03

1.01, 1.06

0.020

 Waist

1.13

1.12, 1.15

 < 0.001

 AGTR

0.33

0.29, 0.37

 < 0.001

 AIP

6.65

4.31, 10.3

 < 0.001

 log(UHR)

1.29

0.94, 1.78

0.12

  1. *The logarithm is based on “e” AWB AIP+Waist+BMI, AAU AGTR+AIP+UHR, BAAU BMI+AGTR+AIP+log(UHR), WAAU Waist+AGTR+AIP+log(UHR), BWAAU BMI+Waist+AGTR+AIP+log(UHR), AGTR albumin to glutamyl transpeptidase ratio, AIP, plasma atherogenicity index, UHR serum uric acid to high-density lipoprotein cholesterol ratio
  2. aOR = Odds Ratio, CI = Confidence Interval