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Prevalence of Hepatitis D in People Living with HIV: A National Cross-Sectional Pilot Study.

Georgios SchinasNikolina AntonopoulouSofia VamvakopoulouOlga TsachouridouKonstantinos ProtopapasVasileios PetrakisEmmanouil C PetrakisDespoina PapageorgiouSimeon MetallidisAntonios PapadopoulosEmmanouil BarbounakisDiamantis P KofteridisPeriklis PanagopoulosAlexandra LekkouFotini PaliogianniKarolina Akinosoglou
Published in: Viruses (2024)
This study assesses the prevalence of hepatitis D virus (HDV) in people living with HIV (PLWHIV) in Greece. Given the compounding effects of HDV and hepatitis B (HBV) on liver disease progression, as well as the emergence of new therapeutic options such as bulevirtide, understanding regional disparities and the epidemiological impact of such co-infections is vital. A cross-sectional analysis was conducted utilizing 696 serum samples from PLWHIV attending five major university hospitals. The methodology included HDV antibody detection by ELISA and HDV RNA confirmation. Of the 30 HBsAg-positive samples analyzed, the study population was primarily male (93%), with a median age of 54 years. Participants had been on antiretroviral therapy for a median of 10 years, and the median CD4 count was 738 (539-1006) copies/mL. Additional serological findings revealed a 7% prevalence of hepatitis C virus (HCV) IgG antibodies and a 55% prevalence of hepatitis A virus (HAV) IgG antibodies. Seroreactivity for syphilis (RPR/VDRL/TPHA positive) was identified in 33% of the participants. The results indicated a low HDV prevalence, with only one individual (3%) testing positive for anti-HDV IgG antibodies and none for HDV RNA. This indicates a lower prevalence of HDV among PLWHIV with chronic HBV in Greece compared to global data.
Keyphrases
  • risk factors
  • hepatitis c virus
  • human immunodeficiency virus
  • hepatitis b virus
  • cross sectional
  • healthcare
  • machine learning
  • deep learning
  • artificial intelligence
  • hiv infected patients
  • data analysis
  • quality control