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ArticleIndian journal of gastroenterology : official journal of the Indian Society of Gastroenterology2019

Genotype distribution in relation to viral load in a large cohort of Indian patients with chronic hepatitis C virus infection: A retrospective analysis.

Balkumar Reddy Panyala, Rathindra Mohan Mukherjee, Himaja Devarakonda, Sivasathish Tadivaka, Nagaraja Rao Padaki, Mithun Sharma, Nageshwar Reddy Duvvuru

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Article in Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4 citing papers in PubMed.

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5 · Who and what money

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7 authors.

Balkumar Reddy PanyalaAsian Healthcare Foundation, Somajiguda, Hyderabad, 500 082, India.
Rathindra Mohan MukherjeeAsian Healthcare Foundation, Somajiguda, Hyderabad, 500 082, India. rathin.mukh@gmail.com.
Himaja DevarakondaAsian Healthcare Foundation, Somajiguda, Hyderabad, 500 082, India.
Sivasathish TadivakaAsian Healthcare Foundation, Somajiguda, Hyderabad, 500 082, India.
Nagaraja Rao PadakiAsian Institute of Gastroenterology, Somajiguda, Hyderabad, 500 082, India.
Mithun SharmaAsian Institute of Gastroenterology, Somajiguda, Hyderabad, 500 082, India.
Nageshwar Reddy DuvvuruAsian Institute of Gastroenterology, Somajiguda, Hyderabad, 500 082, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHepatitis C virus (HCV) displays high genetic diversity, characterized by regional variations in the prevalence of genotype posing challenges to the development of vaccines and definitive treatment. Very few reports exist on the distribution and frequency change of HCV genotypes in India. In the present retrospective study, we aimed to understand the distribution pattern of HCV genotypes and viral load among HCV-infected patients attending the Asian Institute of Gastroenterology, Hyderabad, India, a tertiary care hospital.

methodsPatients referred to the Hepatology Department from January 2009 to December 2015 were screened for this study. Eight hundred and sixty-two chronic HCV patients were included in this study. Genotyping was performed using type-specific probe-based hybridization assay and viral load was estimated by real-time polymerase chain reaction.

resultsOut of 862 patients, genotype 1 was detected predominantly in 392 (45.5%), followed by genotype 3 in 344 (39.9%) patients; genotypes 4, 6, and 2 were detected in 115 (13.3%), 8 (0.9%), and 3 (0.3%) patients, respectively. The number of patients having genotype 1 increased in frequency while genotype 3 became less from the year 2009 to 2015. Patients having genotype 1 had significantly (p < 0.0001) higher viral load compared with the patients infected with other genotypes.

conclusionOur study results demonstrate a change in HCV genotypic distribution pattern from genotypes 3 to 1 during the span of 7 years in patients referred to our hospital. In the light of the reported difference in the pathogenic potential of various HCV genotypes, detection of HCV genotype appears to be still essential for better patient management.

Indexed as

GenotypeCohort StudiesHepacivirusHepatitis C, ChronicHumansIndiaReal-Time Polymerase Chain ReactionRetrospective StudiesTime FactorsViral LoadHCV genotypingHepatitis C virusViral RNA

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