Evaluation of ethnic influence in the application of a hepatocellular carcinoma predictive model for chronic hepatitis C. Issue 11 (12th July 2021)

• Record Type: Journal Article
• Authors: Wei, Mike T.; Le, Michael H.; Landis, Charles; Trinh, Huy; Wong, Grace; Le, An; Zhang, Jian; Cheung, Ramsey; Nguyen, Mindie H.
• Is Part Of: Journal of medical virology. Volume 93:Issue 11(2021)
• Page Start: 6257
• Page End: 6266
• Publication Date: 2021-07-12
• Subjects: Asian -- cirrhosis -- ethnicity -- hepatitis C virus -- hepatocellular carcinoma -- metabolic syndrome -- non‐Asian -- predictive model -- risk score -- treatment‐naïve; Virology -- Periodicals; 616
• DOI: 10.1002/jmv.27168
• Languages: English
• ISSNs: 0146-6615

Abstract

Abstract: 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‐naïve 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 < 0.01). Overall, 5‐year HCC incidence were 1.75%, 4.71%, and 24.4% for low, medium, and high‐risk patients, respectively ( p < 0.0001). For the overall cohort, area under receiving operating characteristic curve (AUROC) for HCC prediction were 0.83 (95% confidence interval [CI]: 0.72–0.93), 0.82 (95% CI: 0.75–0.88), and 0.84 (95% CI: 0.77–0.89) for 1‐, 3‐, and 5‐year HCC risk, respectively. There was a slightly lower AUROC for Asians compared to the non‐Asian cohort at 3 years (0.75 vs. 0.83) and 5 years (0.78 vs. 0.84), though this was not statistically significant. In multivariable analysis, we found male sex, presence of metabolic syndrome as well as the risk score categories to be independently associated with HCC but not ethnicity. The REVEAL‐HCV risk score has good validity for both Asian and non‐Asian populations. Further studies should consider additional factors, such as sex, metabolic syndrome, and treatment status. Highlights: We have provided cross‐validation of the REVEAL‐HCV risk score which predicts HCC development in untreated HCV patients. We found that REVEAL‐HCV, while developed using a cohort in Taiwan, can predict HCC risk in untreated non‐Asian as well as Asian HCV patients with reasonable accuracy. We found that male sex, presence of metabolic syndrome, medium and high‐risk REVEAL‐HCV score category were associated with HCC. The finding of sex and metabolic syndrome as significant risk factors suggest they may be important in the development or modification of future risk scores.