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. 2017 Sep 20;6(3):413–421. doi: 10.1177/2050640617732886

Table 2.

Multivariate analysis for prediction of hepatocellular carcinoma (logistic binary regression) – entire study cohort.

Predictive factors Regression coefficient OR 95% CI p Value
TIPS −1.052 0.35 0.163–0.746 0.001
Gender 1.018 2.77 1.592–4.809 <0.0001
Age 0.047 1.05 1.028–1.069 <0.0001
Alcohol 1.173 3.23 1.562–6.689 0.002
NASH 0.913 2.492 1.101–5.640 0.028
Viral hepatitis 1.910 6.753 3.304–13.803 <0.0001
Cholestatic liver disease −0.334 0.72 0.289–1.772 0.470
Haemochromatosis 0.823 2.28 0.905–5.731 0.081
MELD −0.051 0.95 0.910–0.992 0.021
Constant −6.73

CI: confidence interval; OR: odds ratio; MELD: model of liver end-stage disease; NASH: non-alcoholic steatohepatitis; TIPS: transjugular portosystemic shunt.

Cholestatic liver disease includes primary biliary cholangitis, primary sclerosing cholangitis and secondary sclerosing cholangitis; viral hepatitis includes chronic hepatitis C and chronic hepatitis B.