A Multicentre Cross-Sectional Study on Hepatitis C Virus Genotypic Diversity among Hemodialysis Patients

Hepatitis C virus (HCV) infection remains a significant public health challenge, particularly among hemodialysis patients, who are at increased risk due to frequent exposure to blood products and potentially contaminated medical equipment. This study aimed to assess the prevalence, genotypic distribution, and associated risk factors of HCV infection among hemodialysis patients in Southern India. A prospective, multi-center observational study was conducted over two years (January 2022 to December 2023) across several tertiary care centers in the region. A total of 340 hemodialysis patients were enrolled. Blood samples were collected and tested for HCV using ELISA, RT-PCR, and genotyping. Next-generation sequencing (NGS) was employed for untypable samples. Data were analyzed using descriptive statistics and logistic regression. The prevalence of HCV infection was 17.35% (59/340). Genotype 1a was the most common (54.2%), followed by genotype 1b (20.3%) and genotype 3 (8.5%). NGS resolved 90% of untypable samples, identifying them as genotypes 1a and 1b. Prolonged hemodialysis duration (>3 years), multiple blood transfusions, and comorbidities such as diabetes and hypertension were significant risk factors for HCV infection. This study highlights the high burden of HCV among hemodialysis patients in Southern India, emphasizing the need for advanced diagnostics, robust infection control, and targeted preventive strategies.

Authors

Publication Details

Journal
International Journal of Research in Pharmaceutical Sciences
Published
2025-04-18
DOI
https://doi.org/10.26452/ijrps.v16i2.4756
Primary Topic
Hepatitis C virus research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multicentre Cross-Sectional Study on Hepatitis C Virus Genotypic Diversity among Hemodialysis Patients

Abeer Ali Marhoon, Bheeshma Ravi, Manubotula Durga Sahithya, Vijaya Anjaneya Naga Vara Prasad Babu Sistla et al.
International Journal of Research in Pharmaceutical Sciences
Hepatitis C virus research
article

A Multicentre Cross-Sectional Study on Hepatitis C Virus Genotypic Diversity among Hemodialysis Patients

Abeer Ali Marhoon, Bheeshma Ravi, Manubotula Durga Sahithya, Vijaya Anjaneya Naga Vara Prasad Babu Sistla, Srinath Mote
article en

Abstract

Hepatitis C virus (HCV) infection remains a significant public health challenge, particularly among hemodialysis patients, who are at increased risk due to frequent exposure to blood products and potentially contaminated medical equipment. This study aimed to assess the prevalence, genotypic distribution, and associated risk factors of HCV infection among hemodialysis patients in Southern India. A prospective, multi-center observational study was conducted over two years (January 2022 to December 2023) across several tertiary care centers in the region. A total of 340 hemodialysis patients were enrolled. Blood samples were collected and tested for HCV using ELISA, RT-PCR, and genotyping. Next-generation sequencing (NGS) was employed for untypable samples. Data were analyzed using descriptive statistics and logistic regression. The prevalence of HCV infection was 17.35% (59/340). Genotype 1a was the most common (54.2%), followed by genotype 1b (20.3%) and genotype 3 (8.5%). NGS resolved 90% of untypable samples, identifying them as genotypes 1a and 1b. Prolonged hemodialysis duration (>3 years), multiple blood transfusions, and comorbidities such as diabetes and hypertension were significant risk factors for HCV infection. This study highlights the high burden of HCV among hemodialysis patients in Southern India, emphasizing the need for advanced diagnostics, robust infection control, and targeted preventive strategies.

International Journal of Research in Pharmaceutical SciencesVol. 16(2)
Openalex Percentile: Top 89%
Hepatitis C virus research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.