Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database

Table 4

The result of the multivariable logistic regression model with liver steatosis as a binary outcome using 294 dB/m as the cutoff.

Covariates	Coefficient	95% CI	value	Adjusted relative risk	Standard error for the adjusted RR
Intercept	1.06	0.9034–1.243	0.52
Age	1.0026	1–1.005	0.17
Reference (10–57 mg/dL)
Triglyceride (57–133 mg/dL)	1.172	1.06–1.29	0.033	1.85	0.375
Triglyceride (133–400 mg/dL)	1.247	1.1–1.40	0.021	2.18	0.467
Reference (40–720)
Mets total B (720–2760)	0.901	0.846–0.960	0.032	0.722	0.0735
Mets total C (2760–5680)	0.927	0.810–1.06	0.33	0.797	0.177
Reference (male)
Female	0.903	0.842–0.967	0.04	0.87	0.03
Hemoglobin A1c reference (4.1–5.2)
Hemoglobin A1c B (5.2–5.8)	1.0187	0.911–1.139	0.76	1.066	0.21
(5.8–6.5)	1.069	0.945–1.211	0.35	1.24	0.26
(6.5–14.2)	1.320	1.183–1.472	0.008	1.99	0.344
Body mass index reference (15.7–24.1)
Body mass index (24.1–33.6)	1.08	0.997–1.164	0.13	1.54	0.413
Body Mass index (33.6–45)	1.50	1.367–1.642	<0.01	3.91	1.06