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dc.creatorPereira, Leila Maria Moreira Beltrão-
dc.creatorMartelli, Celina Maria Turchi-
dc.creatorMoreira, Regina Célia-
dc.creatorMerchan-Hamman, Edgar-
dc.creatorStein, Airton Tetelbom-
dc.creatorCardoso, Maria Regina Alves-
dc.creatorFigueiredo, Gerusa Maria-
dc.creatorMontarroyos, Ulisses Ramos-
dc.creatorBraga, Maria Cynthia-
dc.creatorTurchi, Marília Dalva-
dc.creatorCoral, Gabriela-
dc.creatorCrespo, Deborah-
dc.creatorLima, Maria Luiza Carvalho de-
dc.creatorAlencar, Luiz Cláudio Arraes de-
dc.creatorCosta, Marcelo-
dc.creatorSantos, Alex de Assis Santos dos-
dc.creatorXimenes, Ricardo Arraes de Alencar-
dc.identifier.citationPEREIRA, Leila M. M. B. et al. Prevalence and risk factors of Hepatitis C virus infection in Brazil, 2005 through 2009: a cross-sectional study. BMC Infectious Diseases, London, v. 13, n. 60, 2013.pt_BR
dc.description.abstractBackground: Hepatitis C chronic liver disease is a major cause of liver transplant in developed countries. This article reports the first nationwide population-based survey conducted to estimate the seroprevalence of HCV antibodies and associated risk factors in the urban population of Brazil. Methods: The cross sectional study was conducted in all Brazilian macro-regions from 2005 to 2009, as a stratified multistage cluster sample of 19,503 inhabitants aged between 10 and 69 years, representing individuals living in all 26 State capitals and the Federal District. Hepatitis C antibodies were detected by a third-generation enzyme immunoassay. Seropositive individuals were retested by Polymerase Chain Reaction and genotyped. Adjusted prevalence was estimated by macro-regions. Potential risk factors associated with HCV infection were assessed by calculating the crude and adjusted odds ratios, 95% confidence intervals (95% CI) and p values. Population attributable risk was estimated for multiple factors using a case–control approach. Results: The overall weighted prevalence of hepatitis C antibodies was 1.38% (95% CI: 1.12%–1.64%). Prevalence of infection increased in older groups but was similar for both sexes. The multivariate model showed the following to be predictors of HCV infection: age, injected drug use (OR = 6.65), sniffed drug use (OR = 2.59), hospitalization (OR = 1.90), groups socially deprived by the lack of sewage disposal (OR = 2.53), and injection with glass syringe (OR = 1.52, with a borderline p value). The genotypes 1 (subtypes 1a, 1b), 2b and 3a were identified. The estimated population attributable risk for the ensemble of risk factors was 40%. Approximately 1.3 million individuals would be expected to be anti-HCV-positive in the country. Conclusions: The large estimated absolute numbers of infected individuals reveals the burden of the disease in the near future, giving rise to costs for the health care system and society at large. The known risk factors explain less than 50% of the infected cases, limiting the prevention strategies. Our findings regarding risk behaviors associated with HCV infection showed that there is still room for improving strategies for reducing transmission among drug users and nosocomial infection, as well as a need for specific prevention and control strategies targeting individuals living in poverty.pt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectRisk factorspt_BR
dc.subjectHepatitis C viruspt_BR
dc.subjectCross sectional studypt_BR
dc.titlePrevalence and risk factors of Hepatitis C virus infection in Brazil, 2005 through 2009: a cross-sectional studypt_BR
dc.publisher.departmentInstituto de Patologia Tropical e Saúde Pública - IPTSP (RG)pt_BR
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