Hepatitis C Virus Seroprevalence and Genotypic Diversity Among Haemodialysis Patients in a District Hospital: A Comprehensive Study in Telangana, India.

Reddy, K. Ashok; Anitha, C.; Kumar, L. Sandeep; Ramprasad, N.; RamaDevi, D.; Trilokhya, P.

Background: Hepatitis C virus (HCV) infection poses a significant threat to public health globally, particularly among patients undergoing haemodialysis. The prevalence and genotypic diversity of HCV in this population warrants investigation to guide targeted interventions. Objectives: This prospective study aimed to assess the prevalence of HCV infection and characterize the distribution of HCV genotypes among haemodialysis patients in District Hospital, Khammam, Telangana, India. Materials and Methods: Serum samples were collected from 280 patients on haemodialysis. HCV antigen and antibody detection was done using enzyme-linked immunosorbent assay (ELISA). All ELISA-positive samples were subjected to polymerase chain reaction (PCR) for viral load quantification and genotyping. Sangers sequencing was employed for untypeable genotypes. Results: 27 (9.7%) samples were ELISA positive. Out of these, 14 samples had a quantifiable viral load. RT PCR was done and genotypes 1a, 1b, and 3 were identified. Sangers sequencing was employed for untypeable genotypes. Discussion: The predominance of genotypes 1a and 1b underscores the need for tailored treatment strategies, while the presence of genotype 3 highlights genetic diversity. Screening and genotype-specific interventions are crucial to mitigate HCV especially in haemodialysis patients who have an increased of exposure. Conclusion: This study provides valuable insights into the epidemiology and genotypic diversity of HCV in the study region. This aids genotype-based intervention to address challenges posed by HCV infection in hemodialysis settings. Addressing this accurately also prevents further transmission from affected individuals into the community.

HEPATITIS C virus; HEMODIALYSIS patients; ENZYME-linked immunosorbent assay; GENETIC variation; POLYMERASE chain reaction

Pravara Medical Review, 2024, Vol 16, Issue 3, p34

0975-0533

Academic Journal

10.36848/PMR/2024/90000.90038