A Study on the Circulating Genotypes of Hepatitis C Virus in a Tertiary Care Hospital in Central Kerala

John, Maria Sindhura; Oommen, Seema; Jagan, Ozhiparambhil Anilkumar; George, Sincy; Pillai, Sivan

doi:10.4103/ijmm.ijmm_18_239

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…This neglect resulted in the loss of many of the gains made in the previous years and a return to a delayed surveillance system. (Jacob John 2006) Perhaps because this model of surveillance was created and administered by a group of academicians, it remains the most well studied surveillance system in the country. Surprisingly, in spite of the public recognition it received (Bajaj et al 1996) and personal networks of the academicians associated with the model, its successes were not immediately translated in the subsequently planned national disease surveillance programmes.…”

Section: Lessons From Nadhi and Dldsmentioning

confidence: 99%

Formulation of Disease Surveillance Policies in India

Abbas

2023

Preprint

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Disease surveillance in India progressed from the status of isolated pilot projects or being included with vertical disease control programmes towards a nation-wide integrated disease surveillance programme over the course of fifteen years from 2000-15. This studyexamines the process through which disease surveillance captured popular attention and attained the status of a national programme. I found that recent national surveillance programmes preceded by long list of overlapping state and national level experiments, conducted by a relatively small number of actors spread across the country. Most surveillance initiatives merged as a result of either a precipitating event and required the presence of one or more strong champions who could help develop a consensus about the need for such a programme and were able to maintain the political commitment required for sustaining such an initiative.The '‘evolution’ of disease surveillance policies not unidirectional; rather it is chaotic process influenced by multiple organizational interests’ at different levels and times. The advocates for differnt approches didn't necessarily have to be louder to be heard, but closer to the decision makers. A disempowered national technical leadership meant htat the other technial institutions such as international agencies were able to step in and influence the policy process. Interestingly, the pPower dynamics observed between international technical & donor agencies with national authorities were similar in many ways to those observed in the interaction between central/federal agencies with local state level authorities.

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Section: Lessons From Nadhi and Dldsmentioning

confidence: 99%

Formulation of Disease Surveillance Policies in India

Abbas

2023

Preprint

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“…Studies by Sadhukhan et al from West Bengal, eastern India, found Genotype 3 to be the prominent type from this region followed by Genotype 1, 3a and 1b. [12][13][14][15][16][17] Genotype 3 was associated with increased liver complications when compared to the other genotypes with reduced response to therapy as well. 13 Knowledge about the genotypic distribution of HCV in a geographical area may facilitate treatment planning and provide appropriate clues about the consequences of HCV-related liver disease in that geographical area.…”

Section: Introductionmentioning

confidence: 95%

A Retrospective Study to Determine the Genotypic Distribution of Hepatitis-C from a Tertiary Care Hospital in South India

Appalaraju,

Rizwana

2023

J. Pure Appl. Microbiol.

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Hepatitis C virus (HCV) is a blood-borne pathogen that transmits infection via transfusion. Hepatocellular carcinoma is the fifth most common cancer and a major cause of death in patients with chronic HCV infection. Response to treatment is mainly based on the genotypic characterization of HCV. The gold standard for genotyping HCV is by sequencing highly conserved regions such as NS5, core, E1, and 5’UTR. Serum samples of patients who visited the tertiary care hospital with clinical features suggestive of HCV infection formed the study group. HCV genotyping was performed using multiplex Polymerase Chain Reaction in the samples tested positive by Chemiluminescence Immunoassay (CLIA). The viral loads were also performed on selected patient samples. In the present study, Genotype 4 (35.71%), followed by Genotype 3 (17.53%) and 1 & 1b (12.34%) were the common genotypes observed. Genotype 1,1b & 4 mixed type and genotype 4 and 5 mixed type was detected in one sample each (0.65%). The mean measured value of HCV antibody was 11.51 ± 4.57. The viral load was detected in 61 out of 81 samples tested. The mean viral load ranged from 550 to 552769250IU/ml (log 2.74-log 8.74). Genotype 4 was the most common genotype demonstrated in our study as opposed to the other studies were genotype 3 was the dominant one in south India.

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“…On the basis of the phylogenetic and sequence analysis of the HCV viral genome which are recovered from different geographical areas, they are classified into 6 genotypes and these genotypes are further subdivided into different subtypes [3]. The predominance of genotype 3 is seen in the northern, western, and eastern regions of India, whereas genotype 1 is most commonly found in southern region of India [7]. The quantification of virus, clinical findings and determining the genotype act as a strong predictor for the antiviral therapy of HCV-infected individuals.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of HCV and Its Correlation with HCV Genotypes

Gadhia¹,

Patel²,

Daryani³

et al. 2021

EJMED

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Introduction: Hepatitis C virus is known to cause liver inflammation, which may progress to liver cirrhosis and hepatocellular carcinoma. The genomes of HCV display sequence heterogenicity, thus, are classified in different genotypes and subtypes. Genotyping aids in understanding the epidemiology, biological features of the virus and inspecting the outbreak of the viral infection. Materials and Methods: In the present study, HCV viral RNA was isolated and quantified by RT-PCR technique followed by determining its genotype by Sanger sequencing method from the blood samples of infected patients. Results: Out of 40 samples, 25 showed positive results and 15 samples showed copy number lower than detection limit (< 35 IU/ml). Of 25 patients, the predominant genotype was 3 (a, b, g, i, k) followed by genotype 1 (a, b, g) and 4(a, c). Conclusion: The results revealed that genotype 3b accounted for the highest number of cases with positive HCV viral load as compared to genotype 1 and 4. The higher prevalence of genotype 3 shows that the needful measure and timely treatment should be conducted.

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A Study on the Circulating Genotypes of Hepatitis C Virus in a Tertiary Care Hospital in Central Kerala

Cited by 6 publications

References 13 publications

Formulation of Disease Surveillance Policies in India

Formulation of Disease Surveillance Policies in India

A Retrospective Study to Determine the Genotypic Distribution of Hepatitis-C from a Tertiary Care Hospital in South India

Prevalence of HCV and Its Correlation with HCV Genotypes

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