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Eighteen-year follow-up cohort study on hepatitis B and C virus infections related long-term prognosis among hemodialysis patients in Hiroshima.
Ko, Ko; Nagashima, Shintaro; Yamamoto, Chikako; Takahashi, Kazuaki; Matsuo, Junko; Ohisa, Masayuki; Akita, Tomoyuki; Matyakubov, Jamshid; Mirzaev, Ulugbek; Katayama, Keiko; Masaki, Takao; Tanaka, Junko.
Afiliação
  • Ko K; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Nagashima S; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Yamamoto C; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Takahashi K; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Matsuo J; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Ohisa M; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Akita T; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Matyakubov J; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Mirzaev U; Epidemiological Monitoring Unit, Khorezm Regional Center to fight againt HIV/AIDS, Khorezm Region, Urgench, Uzbekistan.
  • Katayama K; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Masaki T; Department of Hepatology, Scientific Research Institute of Virology, Ministry of Health of Uzbekistan, Tashkent, Uzbekistan.
  • Tanaka J; Department of Epidemiology, Infectious Diseases Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
J Med Virol ; 92(12): 3436-3447, 2020 Dec.
Article em En | MEDLINE | ID: mdl-32579260
This study aimed to investigate the prevalence trend of hepatitis B virus (HBV) and hepatitis C virus (HCV) infections and their genotype distribution among hemodialysis patients, determining their long-term prognosis and the risk factors to the mortality. This cohort study used both the medical data and the blood samples of hemodialysis patients at nine dialysis centers in Hiroshima from 1999 to 2017. Hepatitis B surface antigen (HBsAg) and anti-HCV were screened and then amplification was done to positive sera by polymerase chain reaction for genotyping. Data were employed for multiple regressions to determine the associated risk factors. A total of 3968 patients were subdivided into three groups: who started hemodialysis before 1990, during 1991 to 2001, and after 2002. The periodic prevalence of HBsAg decreased from 2.8% to 1.3% and that of anti-HCV from 33.3% to 9.5% in the three groups. By multiple regressions, the adjusted hazard ratio of diabetes mellitus (DM) ranges from 1.59 to 2.12 and that of HCV RNA positivity ranges from 1.18 to 1.48 (P < .05). Heart failure is the primary cause of death in all groups. Genotype C2 is predominant for HBV and genotype 1b is predominant for HCV. The decreasing trend of both HBV and HCV was found in the cohort. DM and HCV RNA were the significant risk factors leading to poor prognosis among hemodialysis patients. The similar genotype distribution of both HBV and HCV was found as general population. This alarmed to provide early diagnosis, prompt, and adequate treatment to HCV infection among hemodialysis patients.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article