Title
Seroprevalence of HCV infection among Indian patients with hemodialysis
Authors
Kamalraj Mohan, Subha Vajjiravel Jagannath,*, Ambuja Sekhar, Akila Krishnamoorthy, Anitha Srinivasagalu, Sijimol Shanmugam, Senthamarai Srinivasan & Sivasankari Selvaraj
Affiliation
Department of Microbiology, Meenakshi Medical College Hospital & Research Institute, Meenakshi Academy of Higher Education and Research (Deemed to be University), Kanchipuram-631552, Tamilnadu, India; *Corresponding author
Kamlaraj Mohan - E-mail: Kamalraj2019@gmail.com
Subha Vajjiravel Jagganath - E-mail: subhajaganath0@gmail.com
Ambuja Sekhar - E-mail: ambujasekhar@gmail.com
Akila Krishnamoorthy - E-mail: akilmuhil@gmail.com
Anitha Srinivasagalu - E-mail: anithas@mmchri.ac.in
Sijimol Shanmugam - E-mail: sijishanmughan1992@gmail.com
Senthamarai Srinivasan - Email: thamaraimicro@gmail.com
Sivasankari Selvaraj - E-mail: murugansivasankari1@gmail.com
Article Type
Research Article
Date
Received August 1, 2024; Revised August 31, 2024; Accepted August 31, 2024, Published August 31, 2024
Abstract
Hepatitis C virus (HCV) exists as the most common hepatotropic disease with a severe complication in significant patients. Maximum incidence of HCV infection occurred specifically in hemodialysis patients and they were related with increased illness and fatality rate. Therefore, it is of interest to know the seroprevalence of HCV infections in hemodialysis patients using anti-HCV and PCR diagnosis. Hence, this study was carried out at a tertiary care hospital for a period of 12 months. 92 blood samples were collected and subjected for the detection of HCV antibodies using ELISA followed by RT-PCR. Out of 92 HD patient samples, 7 were positive for Anti-HCV and 9 samples showed positive for HCV RNA. Thus, ELISA has less sensitivity with false negative rate for identification of HCV infection. Thus, hemodialysis patients should be routinely screened for HCV using RT-PCR for adequate management of the disease.
Keywords
HCV infection, RT-PCR, hemodialysis.
Citation
Mohan et al. Bioinformation 20(8): 868-871 (2024)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
