TABLE 2.

Stepwise regression procedure for the demographic model, simple clinical model and complex clinical model predicting incident hepatic steatosis

Predictor	Age and sex only		Simple clinical modela		Complex clinical modelb
	OR(95%CI)	P value	OR(95%CI)	P value	OR(95%CI)	P value
Age (y)	1.04 (1.01–1.08)	.01	1.04 (1.00–1.08)	.04	1.02 (0.98–1.06)	.42
Women	0.42 (0.27–0.65)	0.0001	0.33 (0.20–0.56)	<.0001	0.44 (0.24–0.81)	.008
BMI(kg/m2)			1.18 (1.12–1.24)	<.0001	1.11 (1.04–1.19)	.003
Alcoholic drinks/wk			0.90 (0.83–0.96)	.003	0.89 (0.83–0.96)	.003
Triglycerides (mg/dL)			1.01 (1.00–1.01)	.002	1.00 (1.00–1.01)	.06
LPR					0.75 (0.67–0.84)	<.0001
VAT (cm3)					1.34 (1.07–1.69)	.01
AUCc	0.622 (0.567–0.678)		0.791 (0748–0.834)		0.826 (0.786–0.866)	<.0001

BMI, body mass index; LPR, liver phantom ratio; VAT, visceral adipose tissue; AUC, area under the receiver operating characteristic.

Estimates give OR per 1 unit increase in predictor with the exception of VAT where OR is per 500 cm³ increase and LPR where OR is per 0.01 unit increase.

^aStepwise analysis for the simple clinical model included the demographic model with the additional candidate

variables: current smoking status, drinks per week, menopausal status, hypertension, pulse pressure, diabetes, fasting glucose, impaired fasting glucose, total cholesterol levels, HDL cholesterol levels, LDL cholesterol, triglycerides, BMI, alanine aminotransferase levels and aspartate aminotransferase levels.

^bStepwise analysis for the complex clinical model included the simple clinical model with the additional candidate variables: waist circumference, VAT and SAT volumes and the LPR.

^cBetween the simple and complex clinical models, the difference in AUC was 0.035 with 95% CI of (0.009–0.061), P < .0001. Between the demographic and complex clinical model, the difference in AUC was 0.204 with 95% CI of (0.147–0.261), P < .0001.