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Prevalence of HCV Infection in General Population of District Malakand, Pakistan: A Comparative Analysis of the Diagnostic Techniques

  • Muhammad Zuhaib Khan
  • , Aneela Hussain
  • , Jawad Akhter
  • , Muhammad Manzoor
  • , Hanif Ullah
  • , Irshad Ahmad*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hepatitis C is a fatal liver disease caused by the hepatitis C virus (HCV). Symptoms of the infection may not be present in the early stage, but chronic infection may leads to cirrhosis of the liver. This study is designed to evaluate the prevalence of hepatitis C virus in the general population of district Malakand. The current study aims to assess the prevalence of infection and effective detection through different diagnostic techniques. Random blood sampling was performed from different areas in district Malakand, Khyber Pakhtunkhwa, Pakistan. The samples were tested for anti-HCV antibodies by Immunochromatographic technique (ICT), Enzyme-linked immunosorbent assay (ELISA) and real-time PCR. A total of 1431 samples (338 males and 1093 females) were screened for HCV infection, out of which 27 (7.98%) males and 32 (2.92%) females were seropositive by ICT method. Sixteen (4.73%) males and 19 (1.73%) females were seropositive by ELISA technique, and 12 (3.6%) males and nine (0.82%) females were positive by real-time PCR. Overall prevalence was found to be 1.47%. Our results suggest that prevalence of infection was high in males as compared to females. It was depicted from the study that prevalence of infection increased with increasing age. We suggest that advanced techniques such as ELISA should be used for screening of HCV in a resource-limited area followed by real-time PCR confirmation as a final diagnostic technique to confirm the actual infection.

Original languageEnglish
Pages (from-to)2201-2205
Number of pages5
JournalArabian Journal for Science and Engineering
Volume42
Issue number6
DOIs
StatePublished - 1 Jun 2017

Bibliographical note

Publisher Copyright:
© 2016, King Fahd University of Petroleum & Minerals.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diagnostic techniques
  • ELISA
  • Hepatitis C virus
  • ICT
  • Prevalence
  • Real-time PCR

ASJC Scopus subject areas

  • General

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