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

BMC Infectious Diseases

Research Article

Eric Delwart¹  Michael P Busch²  Jennifer Evans³  Kimberly Page⁴  Judith A Hahn⁵  Paula Lum⁶  Steve Deeks⁶  Brian R Edlin⁷  Jeff Martin⁸  Paulo Telles Dias⁹  Alex Kral^1,10 

[1] Blood Systems Research Institute, 270 Masonic Avenue, 94118, San Francisco, CA, USA;Blood Systems Research Institute, 270 Masonic Avenue, 94118, San Francisco, CA, USA;Department of Laboratory Medicine, University of California San Francisco, Box 0134, 94143 - 0134, San Francisco, CA, USA;Department of Epidemiology and Biostatistics, Division of Preventive Medicine and Public Health, University of California San Francisco, Box 1224, 50 Beale Street 1200, San Francisco, CA, USA;Department of Epidemiology and Biostatistics, Division of Preventive Medicine and Public Health, University of California San Francisco, Box 1224, 50 Beale Street 1200, San Francisco, CA, USA;Department of Epidemiology and Biostatistics, Division of Clinical Epidemiology, University of California San Francisco, Box 0560, 185 Berry Street 5700, 94143 - 0560, San Francisco, CA, USA;Department of Medicine, Division of Infectious Disease, San Francisco General Hospital, University of California San Francisco, Box 0811, SFGH Bldg 100 335, 94143 - 0811, San Francisco, CA, USA;Department of Medicine, Positive Health Program, San Francisco General Hospital, University of California San Francisco, Box 0874, SFGH Bldg 100 335, 94143 - 0811, San Francisco, CA, USA;Department of Medicine, SUNY Downstate College of Medicine, Box 1240, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA;Department of Medicine, SUNY Downstate College of Medicine, Box 1240, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA;Department of Medicine, SUNY Downstate College of Medicine, Box 1240, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA;Núcleo de Estudos e Pesquisas em Atenção ao Uso de Drogas (NEPAD)- Universidade do Estado do Rio de Janeiro (State University of Rio de Janeiro), R Fonseca Teles 121, 4°. Andar, 20940-200, Rio de Janeiro, RJ, Brazil;Department of Epidemiology and Biostatistics, Division of Preventive Medicine and Public Health, University of California San Francisco, Box 1224, 50 Beale Street 1200, San Francisco, CA, USA;Research Triangle Institute (RTI), San Francisco, CA, USA;

关键词: hepatitis C virus;    HCV;    GT;    injection drug use;    HIV;    birth cohort;    African-American;   

DOI  :  10.1186/1471-2334-11-208

 received in 2011-01-27, accepted in 2011-08-02,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundHepatitis 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.MethodsWe 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).ResultsOverall, 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).ConclusionsAlthough, 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.

【 授权许可】

Unknown   
© Dias et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.