A novel mortality model for acute alcoholic hepatitis including variables recorded after admission to hospital

The proposed logistic regression model selected four statistically significant predictors (namely, the level of creatinine on and after admission, the presence of encephalopathy and prothrombin time evaluated after admission). A comparison with the available mortality predictive scores showed an increase by 25% in predictive power, demonstrating increased accuracy in identifying these sick patients with alcoholic hepatitis in clinical practice.