Clinical Scoring System to Predict Hepatocellular Carcinoma in Chronic Hepatitis B Carriers

Vincent Wai‐Sun Wong(Chinese University of Hong Kong), Stephen L. Chan(Chinese University of Hong Kong), Frankie Mo(Chinese University of Hong Kong), Tung-Ching Chan(Chinese University of Hong Kong), Herbert H. Loong(Chinese University of Hong Kong), Grace Lai‐Hung Wong(Chinese University of Hong Kong), Yanni Yan-Ni Lui(Chinese University of Hong Kong), Anthony T.�C. Chan(Chinese University of Hong Kong), Joseph J.�Y. Sung(Chinese University of Hong Kong), Winnie Yeo(Chinese University of Hong Kong), Henry Lik‐Yuen Chan(Chinese University of Hong Kong), Tony Mok(Chinese University of Hong Kong)
Journal of Clinical Oncology
March 2, 2010
Cited by 501Open Access
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Abstract

PURPOSE: Hepatitis B virus (HBV) infection is an important etiology for hepatocellular carcinoma (HCC). We aim to develop a simple clinical score in predicting the risk of HCC among HBV carriers. PATIENTS AND METHODS: We first evaluated 1,005 patients and found that the following five factors independently predicted HCC development: age, albumin, bilirubin, HBV DNA, and cirrhosis. These variables were used to construct a prediction score ranging from 0 to 44.5. The score was validated in another prospective cohort of 424 patients. RESULTS: During a median follow-up of 10 years, 105 patients (10.%) in the training cohort and 45 patients (10.6%) in the validation cohort developed HCC. Cutoff values of 5 and 20 best discriminated HCC risk. By applying the cutoff value of 5, the score excluded future HCC development with high accuracy (negative predictive value = 97.8% and 97.3% in the training and validation cohorts, respectively). In the validation cohort, the 5-year HCC-free survival rates were 98.3%, 90.5%, and 78.9% in the low-, medium-, and high-risk groups, respectively. The hazard ratios for HCC in the medium- and high-risk groups were 12.8 and 14.6, respectively. CONCLUSION: A simple prediction score constructed from routine clinical and laboratory parameters is accurate in predicting HCC development in HBV carriers. Future prospective validation is warranted.


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