dc.contributor.author | Selek M. | |
dc.contributor.author | Baylan O. | |
dc.contributor.author | Karagöz E. | |
dc.contributor.author | Özyurt M. | |
dc.date.accessioned | 2019-08-13T12:10:23Z | |
dc.date.accessioned | 2019-08-13T15:52:50Z | |
dc.date.available | 2019-08-13T12:10:23Z | |
dc.date.available | 2019-08-13T15:52:50Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0255-0857 | |
dc.identifier.uri | https://dx.doi.org/10.4103/ijmm.IJMM_18_10 | |
dc.identifier.uri | http://hdl.handle.net/11446/1745 | |
dc.description | PubMed ID: 30429397 | en_US |
dc.description.abstract | Purpose: Identification of hepatitis C virus (HCV) genotypes is very important in the selection of antiviral treatment, dose adjustment of antiviral agents, determining the treatment duration and following-up of treatment response. We aimed to determine the distribution pattern of HCV genotypes in chronic hepatitis C infection (CHC) patients. Materials and Methods: We have included 106 CHC patients who were positive in the anti-HCV and HCV-RNA tests performed in our hospital during the 16-month period. Anti-HCV assays were performed on device using a chemiluminescent microparticle immunoassay, while HCV-RNA tests and HCV genotyping assays were performed by real-time polymerase chain reaction. Results: Of the 106 cases; genotype 1b was detected in 67.0%, genotype 3 was detected in 16.0%, genotype 1a was detected in 14.2% and genotype 2 was detected in 2.8% patients. Genotypes 4, 5 and 6 were not detected in our study group. There were no statistically significant differences between the gender and age groups according to the HCV genotype distribution. The genotype 3 detection rate (16%) was the highest rate among the studies compared with the other studies in our country. Conclusions: Events that cause social changes such as war and immigration and intense commercial and touristic activities affect and alter the HCV genotype distribution in HCV-infected patients. For this reason, further multicentre studies are required reflecting all the regions in order to determine the genotype distribution in HCV-infected patients at regular intervals. © 2018 Indian Journal of Medical Microbiology | Published by Wolters Kluwer - Medknow. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Wolters Kluwer Medknow Publications | en_US |
dc.identifier.doi | 10.4103/ijmm.IJMM_18_10 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Chronic hepatitis C | en_US |
dc.subject | genotyping | en_US |
dc.subject | hepatitis C virus | en_US |
dc.title | Changes in hepatitis C virus genotype distribution in chronic hepatitis C infection patients | en_US |
dc.type | article | en_US |
dc.relation.journal | Indian Journal of Medical Microbiology | en_US |
dc.department | DBÜ | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.volume | 36 | en_US |
dc.identifier.startpage | 416 | en_US |
dc.identifier.endpage | 421 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.department-temp | DBÜ | en_US |