Evaluation of Hepatitis C Virus Core Antigen Assay in a Resource-Limited Setting in Pakistan

Adeel Abid1, Murad Uddin1, Taj Muhammad1

  • 1Department of Medicine, Aga Khan University, Stadium Road, Karachi 74800, Pakistan.

Insights

A new Hepatitis C core antigen (HCVcAg) assay offers a sensitive and specific tool for diagnosing Hepatitis C virus (HCV) infection. This point-of-care test is ideal for resource-limited settings, aiding global HCV elimination efforts.

Area of Science:

  • Hepatology
  • Infectious Diseases
  • Clinical Diagnostics

Background:

  • Hepatitis C virus (HCV) diagnosis is hindered by high costs and limited access to centralized testing.
  • Simplified HCV testing algorithms are crucial for effective public health interventions.
  • Decentralized testing solutions are needed, especially in resource-limited endemic areas.

Purpose of the Study:

  • To evaluate the performance of a Hepatitis C core antigen (HCVcAg) assay.
  • To assess its utility in a decentralized, resource-limited setting for diagnosing active HCV infection.
  • To compare HCVcAg assay performance against HCV RNA detection.

Main Methods:

  • A descriptive cross-sectional study conducted in Karachi, Pakistan (October 2019 - July 2020).
  • Included 200 individuals aged 12+ years who screened positive for HCV antibodies.
  • Simultaneous testing for HCV RNA (central lab) and HCVcAg (point-of-care facility) using Abbott ARCHITECT®.

Main Results:

  • HCV RNA detected in 64.0% (128/200) and HCVcAg reactive in 59.5% (119/200) of participants.
  • HCVcAg assay demonstrated high sensitivity (99.1%) and specificity (87.6%) compared to HCV RNA.
  • The ARCHITECT® system offered excellent performance with higher throughput and quicker results.

Conclusions:

  • The ARCHITECT HCVcAg assay is highly sensitive and specific for confirming active HCV infection in decentralized settings.
  • This assay is a valuable tool for HCV elimination programs, particularly in low-income countries.
  • Point-of-care HCVcAg testing can overcome barriers to diagnosis in resource-limited areas.