Predicting Hepatocellular Carcinoma Risk in Chronic Hepatitis B Patients Receiving Finite Periods of Antiviral Therapy

Author:

Lin Chih-Lang123,Wu Szu-Yuan45678910ORCID,Lai Ming-Wei31112,Hsu Chao-Wei311,Chen Wan-Ming1112,Jao An-Tzu4,Chien Cheng-Hung123ORCID,Hu Ching-Chih13,Chien Rong-Nan311ORCID,Yeh Chau-Ting311

Affiliation:

1. Liver Research Center, Department of Gastroenterology and Hepatology, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan

2. Community Medicine Research Center, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan

3. College of Medicine, Chang Gung University, Taoyua 833, Taiwan

4. Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 242, Taiwan

5. Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242, Taiwan

6. Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan

7. Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung 413, Taiwan

8. Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan

9. Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan

10. Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei City 242, Taiwan

11. Liver Research Center, Chang Gung Memorial Hospital, Taoyuan 833, Taiwan

12. Division of Pediatric Gastroenterology, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan

Abstract

PURPOSE: Hepatocellular carcinoma (HCC) is one of the most severe complications in chronic hepatitis B virus (HBV) infection. HCC can still develop in patients with chronic HBV (CHB) infection undergoing antiviral therapy. Several effective scoring systems for the prediction of HCC risk in CHB patients have been established. However, very few of them are designed for CHB patients receiving nucleos(t)ide analogues (NAs) therapy. Furthermore, none are available for HCC risk prediction in CHB patients receiving finite periods of antiviral therapy. METHODS: This study enrolled 790 consecutive treatment-naïve patients with CHB infection who had visited our liver clinics from 2008 to 2012 for pretreatment assessment before receiving antiviral therapies. The treatments were provided at finite periods according to the National Health Insurance Policy in Taiwan. The last follow-up date was 31 December 2021. We analyzed the virological and clinical factors in these 790 CHB patients receiving finite periods of NA treatments and identified the most significant risk factors for HCC to establish a novel predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups. RESULTS: Our predictive scoring system included five independent variables: genotype C (adjusted HR [aHR] = 2.23), NA-withdraw-related hepatitis relapse (aHR = 6.96), male (aHR = 4.19), liver cirrhosis (aHR = 11.14), and T1768A core promoter mutation (aHR = 3.21). This model revealed significant differences in HCC incidence among the three risk groups. The 5-year cumulative HCC risk significantly differed among the three risk groups (low risk: 1.33%, moderate risk: 4.99%, and high risk: 17.46%), with log-rank test p < 0.001. CONCLUSION: Our predictive scoring system is a promising tool for the prediction of HCC in CHB patients receiving finite NA treatments. Genotype C, NA-withdraw-related hepatitis relapse, male gender, liver cirrhosis, and the T1768A HBV core promoter mutation were significant independent risk factors.

Funder

Lo-Hsu Medical Foundation

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference38 articles.

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