The prevalence of hepatitis C virus genotypes and factors associated with cirrhosis, fatty liver, and viral load: A registry-based cross-sectional cohort study in Western Iran during 1999-2023.

Background And Aims: Hepatitis C virus (HCV) is an important infectious disease that imposes a significant burden on healthcare systems. Determining the prevalence of HCV genotypes in a area is essential for the successful implementation of HCV elimination programs and allocation of financial resources to direct-acting antiviral direct-acting antivirals (DAA) treatments against prevalent HCV genotypes. Accordingly, we conducted a registry-based cross-sectional cohort study to investigate the prevalence of HCV genotypes and factors associated with cirrhosis, fatty liver, and viral load in Kermanshah Province, Western Iran.

Methods: Patients presenting to the Hepatitis Clinic of the Research Center for Infectious Diseases affiliated with Kermanshah University of Medical Sciences between 1999 and 2023 were enrolled in this study. Serum samples were collected to assess HCV genotypes and viral load. Additionally, demographic data and the status of cirrhosis and fatty liver were extracted from the registry system records throughout the study period.

Results: Records of 828 patients with an average age of 40.38 ± 11.72 years (range: 11-80 years) were included in the study that 721 individuals were male, and 107 were female. The prevalence of fatty liver and cirrhosis was 30.3% and 12.9%, respectively. Four genotypes (1, 2, 3, and 4) and four subtypes (1a, 1b, 3a, and 3b) were identified, with subtype 3a (55.7%) being the most prevalent, followed by subtype 1a (34.3%). None of the variables including age, gender, viral load level, and genotypes 1 and 3 were associated with fatty liver or cirrhosis. However, age, gender, and genotype were correlated with the viral load ( ≤ 0.05).

Conclusion: The most common HCV subtypes in Kermanshah were 3a and 1a. Genotypes 2 and 4 were identified in one case each. Further studies on identifying HCV subtypes in different regions of the country are recommended to manage HCV infection and predict the prognosis.