Research Article
Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database
Table 6
Multivariable logistic regression model with liver fibrosis as an outcome using 8.2 kPa as cutoff.
| Covariates | Coefficient | 95% CI | value |
| Intercept | 1.12 | 1.07–1.17 | 0.007 |
| Sex reference (male) | 0.973 | 0.95–0.99 | 0.06 |
| Hemoglobin A1c reference (4.1–5.2) | | | | 5.2–5.8 | 1.02 | 1.004–1.033 | 0.06 | 5.8–6.5 | 1.08 | 1.04–1.13 | 0.021 | 6.5–14.2 | 1.2 | 1.15–1.28 | 0.002 |
| Metabolic energy expenditure reference (40–720 kcal/week) | | | | 720–2760 kcal/week | 0.974 | 0.955–0.992 | 0.05 | 2760–5680 kcal/week | 0.98 | 0.956–1003 | 0.16 |
| Body mass index reference (15.7–24.1) | | | | 24.1–33.6 | 0.996 | 0.97–1.02 | 0.73 | 33.6–45 | 1.15 | 1.1–1.2 | 0.004 |
| Platelet count reference (8–209 cells/microliter) | | | | 209–818 | 0.963 | 0.94–0.99 | 0.07 |
| Diastolic blood pressure reference (54–63 mmHg) | | | | 63–86 mmHg | 0.98 | 0.943–1.01 | 0.3 | 86–133 mmHg | 0.98 | 0.935–0.992 | 0.23 |
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