Table 7.
Establishment of the logistic regression of all prediction models
| 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 |
*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
aOR = Odds Ratio, CI = Confidence Interval