Research Article

Predicting Liver Disease Risk Using a Combination of Common Clinical Markers: A Screening Model from Routine Health Check-Up

Table 3

Logistic regression models with predictive variables measured by routine health check-up.

Log OR (β)SE (β) valueOR (exp[β])95% CI OR

Model 1
 Gender (male as reference)1.740.46<0.0015.692.29–14.12
 Age at diagnosis (years)0.090.02<0.0011.101.07–1.13
 GLB (g/L)0.250.04<0.0011.281.19–1.38
 ALT (IU/L)0.040.01<0.0011.041.03–1.06
 GGT (IU/L)0.010.002<0.0011.011.006–1.014
 LN2.180.60<0.0018.852.73–28.69
 CEAID1.260.470.0073.511.41–8.76
 FA1.920.53<0.0016.852.41–19.49
Model 2
 Gender (male as reference)1.530.33<0.0014.642.44–8.82
 Age at diagnosis (years)0.070.01<0.0011.071.05–1.10
 GLB (g/L)0.280.03<0.0011.321.26–1.39
 LN2.850.45<0.00117.247.18–41.41
 CEAID1.550.34<0.0014.722.41–9.23
 FA1.860.41<0.0016.412.84–14.44

Notes: Model 1 (M1) used the eight common variables after correlation analyses, and Model 2 (M2) used variables without liver- or cholangetic injury markers. Abbreviations: AILD: autoimmune liver disease; GLB: globulin; ALT: alanine aminotransferase; GGT: γ-glutamyltransferase; LN: abdominal lymph node. Enlargement (B-mode ultrasound); CEAID: current extrahepatic autoimmune diseases; FA: familial autoimmunity.