Prevalence of hepatitis C virus isolate genotypes from chronically infected Lebanese patients: a hospital-based study

Noha Irani-Hakime1, Hanady Samaha, Wassim Almawi

  • 1St. George Hospital, Department of Laboratory Medicine, Beirut, Lebanon. nahakimeh@stgeorgehospital.org

Insights

Hepatitis C virus (HCV) genotype distribution varies in Lebanese patients. Genotype 2 was predominant in hemodialysis patients, while subtype 1b was more common in non-dialysis cases, highlighting risk group differences.

Area of Science:

  • Hepatology
  • Virology
  • Infectious Diseases

Background:

  • Hepatitis C virus (HCV) infection is a global health concern.
  • Understanding HCV genotype prevalence is crucial for effective treatment and public health strategies.
  • Lebanon has a diverse population with varying risk factors for HCV infection.

Purpose of the Study:

  • To determine the distribution of HCV genotypes among infected patients in Lebanon.
  • To compare HCV genotype patterns between hemodialysis and non-dialysis patients.
  • To identify potential differences in genotype prevalence based on patient risk groups.

Main Methods:

  • A cohort of 77 Lebanese patients with confirmed HCV infection was studied.
  • HCV genotyping was performed using nested PCR of the HCV core region.
  • DNA enzyme-immunoassay with specific probes was employed for type and subtype identification.

Main Results:

  • Single HCV genotypes were found in 67.5% of patients; types 1, 2, 3, and 4 were detected at 19.5%, 32.5%, 5.1%, and 10.4% respectively.
  • Mixed genotype infections occurred in 32.5% of cases.
  • Genotype 2 predominated in hemodialysis patients (80%), while subtype 1b was more frequent in non-dialysis patients (34.4%). Genotypes 5 and 6 were not detected.

Conclusions:

  • This study reveals significant diversity in HCV genotypes within the Lebanese population.
  • HCV genotype distribution differs notably between hemodialysis and non-dialysis patient groups.
  • Findings underscore the importance of considering risk factors when analyzing HCV genotype epidemiology.