Literature DB >> 27564651

Refining the risk estimate for transfusion-transmission of occult hepatitis B virus.

C R Seed1, P Kiely2, V C Hoad1, A J Keller1.   

Abstract

BACKGROUND AND OBJECTIVES: We previously published a model to estimate the residual risk (RR) for occult hepatitis B infection (OBI) in the absence of universal anti-HBc testing. To incorporate new information on the epidemiology of OBI, we describe model refinements and estimate a more accurate HBV RR due to OBI in Australia.
MATERIALS AND METHODS: In our original model, the OBI risk, p(OBI), was defined by the rate of 'non-detection' by the HBV DNA screening test in use, p(NAT non-detection), and the average infectivity of blood components from OBI donors, p(transmission). We revised the model by integrating three refinements: that donations with anti-HBs levels of >10 IU/l, or donations solely for manufactured plasma products, be excluded from the risk calculation, and an updated estimate of p(transmission).
RESULTS: Refining our OBI RR model resulted in a more than 10-fold reduction in the reported RR risk to recipients from OBI in our donor population. Based on the use of a common data set, the mean OBI RR risk decreased from 1 in 374 354 donations (95% CI: 1 in 191 940-1 072 681) to 1 in 3 984 033 (95% CI: 1 in 1 146 188-65 268 257) for the refined model.
CONCLUSION: Our model refinements provide a more realistic measure of the HBV RR in the donor population. Unlike the previous model, the new model demonstrates that the risk of HBV due to OBI in the Australian blood donor population is negligible, and further potentially cost-ineffective risk management strategies are not currently warranted.
© 2016 International Society of Blood Transfusion.

Entities:  

Keywords:  blood donation testing; nucleic acid testing testing; residual risk estimation

Mesh:

Substances:

Year:  2016        PMID: 27564651     DOI: 10.1111/vox.12446

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  6 in total

1.  Prevalence, incidence and residual risk of transfusion-transmitted hepatitis B virus infection in Italy from 2009 to 2018.

Authors:  Claudio Velati; Luisa Romanò; Ilaria Pati; Giuseppe Marano; Vanessa Piccinini; Liviana Catalano; Simonetta Pupella; Stefania Vaglio; Eva Veropalumbo; Francesca Masiello; Giulio Pisani; Giuliano Grazzini; Alessandro Zanetti; Giancarlo M Liumbruno
Journal:  Blood Transfus       Date:  2019-12-11       Impact factor: 3.443

2.  Evolution of the residual risk of HBV, HCV and HIV transmission through blood transfusion in the Region of Valencia, Spain, during a 15-year period (2003-2017).

Authors:  Carlos López-Menchero; Manuel Alvarez; Pascual Fernández; María Guzmán; María I Ortiz-de-Salazar; Cristina Arbona
Journal:  Blood Transfus       Date:  2019-11       Impact factor: 3.443

3.  High-Frequency Notable HBV Mutations Identified in Blood Donors With Occult Hepatitis B Infection From Heyuan City of Southern China.

Authors:  Xianlin Ye; Lihua Liu; Lina Chen; Xianghui Nie; Lu Huang; Denghuang Ye; Jinfeng Zeng; Tong Li; Bin Li; Min Xu; Limin Chen
Journal:  Front Immunol       Date:  2022-05-13       Impact factor: 8.786

Review 4.  Hepatitis B Virus Blood Screening: Need for Reappraisal of Blood Safety Measures?

Authors:  Daniel Candotti; Syria Laperche
Journal:  Front Med (Lausanne)       Date:  2018-02-21

5.  Host genes regulate transcription of sperm-introduced hepatitis B virus genes in embryo.

Authors:  Ying Zhong; Dong-Ling Liu; Mohamed Morsi M Ahmed; Peng-Hao Li; Xiao-Ling Zhou; Qing-Dong Xie; Xiao-Qing Xu; Ting-Ting Han; Zhi-Wei Hou; Chen-Yao Zhong; Ji-Hua Huang; Fei Zeng; Tian-Hua Huang
Journal:  Reprod Toxicol       Date:  2017-08-16       Impact factor: 3.143

6.  Prevalence, incidence and residual risk of transfusion transmitted viruses (HBV, HCV and HIV infections) in Lithuanian blood donors from 2004 to 2018: The incidence/window-period model study.

Authors:  Samanta Grubyte; Jurgita Urboniene; Laura Nedzinskiene; Auguste Jelinskaite; Kestutis Zagminas; Arvydas Ambrozaitis; Ligita Jancoriene
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

  6 in total

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