Objective The present study aimed to optimize the established predictive models (REACH-B scoring model) for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Methods The hepatitis B surface antigen (HBsAg) positive (> 6 months) patients who were firstly admitted in the Liver Center of First Affiliated Hospital, Fujian Medical University between Oct 1st 2004 and May 1st 2014 were selected as the subjects and divided into two groups, namely, the case group (HCC group) and the control group (non-HCC group). Clinical data of all the subjects were retrospectively collected and analyzed. Receiver operating characteristic curves were used to evaluate the predictive values of the various models. Results To predict the development of HBV-related HCC within 3 years, a total of 627 patients (151 HCC cases and 476 non-HCC controls) were enrolled. Area under curve (AUC) of HBV-related HCC (REACH-B) scoring model was 0.78 (95%CI: 0.74-0.82), with the sensitivity of 73.00% and specificity of 78.70% in predicting 3-year risk of HCC occurrence. By combining alpha-fetoprotein (AFP) and REACH-B, the R-AFP scoring model was constructed. The AUC increased to 0.80 (95%CI: 0.76-0.83, Z=2.50, P=0.01), with the sensitivity of 71.03% and specificity of 79.13% in predicting 3-year HCC development. By combining AFP isoform 3 (AFP-L3%) and REACH-B, the R-AFP-L3% scoring model was constructed. The AUC further increased to 0.83 (95%CI: 0.80-0.87, Z=2.45, P=0.01), with the sensitivity of 75.01% and specificity of 79.32% in predicting 3-year HCC development. To predict the development of HBV-related HCC within 5 years, a total of 159 (65 HCC cases and 94 non-HCC controls) were enrolled. The AUC of REACH-B scoring model was 0.79 (95%CI: 0.72-0.87), with the sensitivity of 73.60% and specificity of 75.43%. The R-AFP scoring model had an AUC of 0.84 (95%CI: 0.77-0.90, Z=2.70, P=0.006), with the sensitivity of 83.12% and specificity of 77.89%. Conclusion Combination of AFP or AFP-L3% may optimize the predictive values of REACH-B scoring model in predicting 3-year and 5-years risks of developing HBV-related HCC. Key words: Hepatitis B virus; Carcinoma, hepatocellular; alpha-Fetoproteins; Forecasting
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