Temporal changes in HCV genotype distribution in three different high risk populations in San Francisco, California View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

Paulo Telles Dias, Judith A Hahn, Eric Delwart, Brian R Edlin, Jeff Martin, Paula Lum, Jennifer Evans, Alex Kral, Steve Deeks, Michael P Busch, Kimberly Page

ABSTRACT

BACKGROUND: Hepatitis C virus (HCV) genotype (GT) has become an important measure in the diagnosis and monitoring of HCV infection treatment. In the United States (U.S.) HCV GT 1 is reported as the most common infecting GT among chronically infected patients. In Europe, however, recent studies have suggested that the epidemiology of HCV GTs is changing. METHODS: We assessed HCV GT distribution in 460 patients from three HCV-infected high risk populations in San Francisco, and examined patterns by birth cohort to assess temporal trends. Multiple logistic regression was used to assess factors independently associated with GT 1 infection compared to other GTs (2, 3, and 4). RESULTS: Overall, GT 1 was predominant (72.4%), however younger injection drug users (IDU) had a lower proportion of GT 1 infections (54.7%) compared to older IDU and HIV-infected patients (80.5% and 76.6%, respectively). Analysis by birth cohort showed increasing proportions of non-GT 1 infections associated with year of birth: birth before 1970 was independently associated with higher adjusted odds of GT 1: AOR 2.03 (95% CI: 1.23, 3.34). African-Americans as compared to whites also had higher adjusted odds of GT 1 infection (AOR: 3.37; 95% CI: 1.89, 5.99). CONCLUSIONS: Although, HCV GT 1 remains the most prevalent GT, especially among older groups, changes in GT distribution could have significant implications for how HCV might be controlled on a population level and treated on an individual level. More... »

PAGES

208

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2334-11-208

DOI

http://dx.doi.org/10.1186/1471-2334-11-208

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041870297

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21810243


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