Journal of Microbiology, Immunology and Infection (Oct 2021)

Investigating the prevalence and clinical effects of hepatitis delta viral infection in Taiwan

  • Wei-Cheng Lee,
  • Tzen-Kwan Chen,
  • Hwa-Fa Han,
  • Yu-Chun Lin,
  • Ya-Min Hwang,
  • Jia-Horng Kao,
  • Pei-Jer Chen,
  • Chun-Jen Liu

Journal volume & issue
Vol. 54, no. 5
pp. 901 – 908

Abstract

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Purpose: To clarify and investigate the prevalence and clinical impact of hepatitis D virus (HDV) infection in Taiwan's communities. Methods: HDV infection in patients with chronic hepatitis B viral (HBV) infection was examined using an anti-HDV antibody in Yonghe Cardinal Tien Hospital (YCTH), a district hospital in Taiwan. Clinical characteristics of anti-HDV-positive and anti-HDV-negative patients were collected and compared. These characteristics were also compared with the data collected from a medical center. Continuous variables and confounding factor adjustments were compared using the analysis of covariance method, whereas categorical variables were compared using the logistic regression method. Results: A total of 346 patients with chronic HBV infection were assessed from 2018 to 2019. Among them, 4 (1.15%) were positive for anti-HDV. The clinical, virological, and biochemical characteristics were similar between anti-HDV-positive and anti-HDV-negative groups. None of the four patients was positive for serum HDV RNA. Another 18 anti-HDV-positive patients were identified from National Taiwan University Hospital (NTUH). The clinical, virological, and biochemical characteristics of anti-HDV-positive patients from YCTH and NTUH were also similar. Conclusion: The prevalence of HDV and the serum HDV RNA-positive rate were low in district hospitals in Taiwan. Coexisting HDV infection did not influence the clinical manifestation of patients with chronic HBV infection in Taiwan. However, because the number of HDV RNA cases was very small, our findings may not be conclusive. Besides, since the sensitivity of current anti-HDV kit is not 100%, more sensitive methods are needed to achieve reliable prevalence data.

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