Evaluation of ethnic influence in the application of a hepatocellular carcinoma predictive model for chronic hepatitis C

Currently, there is no well-established algorithm predicting hepatocellular carcinoma (HCC) development in untreated hepatitis C virus (HCV) patients. We aimed to validate an algorithm (risk evaluation of viral load elevation and associated liver disease/HCV [REVEAL-HCV]: age, AST, ALT, HCV RNA, HCV genotype, and cirrhosis) developed in Taiwanese patients. We analyzed 1381 (50.1% White, 14.7% Hispanic, 13.8% Asian of diverse origin, and 7.8% African American) adult treatment-naive HCV patients (no viral co-infection, no HCC within 6 months) at 4 U.S. and one Hong Kong centers (11/1994-10/2017). Compared to the non-Asian cohort, the Asian cohort had a higher percentage of patients in the low-risk group (46.1% vs. 26.1%) and a lower percentage in the high-risk group (12.0% vs. 20.3%, p