Emerging Infectious Diseases and Blood Safety: Modeling the Transfusion-Transmission Risk

被引:22
作者
Kiely, Philip [1 ,2 ]
Gambhir, Manoj [2 ]
Cheng, Allen C. [2 ,3 ]
McQuilten, Zoe K. [2 ]
Seed, Clive R. [1 ]
Wood, Erica M. [2 ]
机构
[1] Australian Red Cross Blood Serv, Melbourne, Vic, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic, Australia
[3] Alfred Hlth, Dept Infect Dis, Melbourne, Vic, Australia
关键词
Emerging infectious diseases; Blood safety; Risk modeling; Zika virus; WEST-NILE-VIRUS; HEPATITIS-C VIRUS; GUILLAIN-BARRE-SYNDROME; HUMAN-IMMUNODEFICIENCY-VIRUS; VECTOR-BORNE TRANSMISSION; MALE SEXUAL TRANSMISSION; T-LYMPHOTROPIC VIRUS; ZIKA VIRUS; UNITED-STATES; RESIDUAL RISK;
D O I
10.1016/j.tmrv.2017.05.002
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
While the transfusion-transmission (11) risk associated with the major transfusion-relevant viruses such as HIV is now very low, during the last 20 years there has been a growing awareness of the threat to blood safety from emerging infectious diseases, a number of which are known to be, or are potentially, transfusion transmissible. Two published models for estimating the transfusion-transmission risk from EID5, referred to as the Biggerstaff-Petersen model and the European Upfront Risk Assessment Tool (EUFRAT), respectively, have been applied to several EIDs in outbreak situations. We describe and compare the methodological principles of both models, highlighting their similarities and differences. We also discuss the appropriateness of comparing results from the two models. Quantitating the TT risk of EIDs can inform decisions about risk mitigation strategies and their cost-effectiveness. Finally, we present a qualitative risk assessment for Zika virus (ZIKV), an EID agent that has caused several outbreaks since 2007. In the latest and largest ever outbreak, several probable cases of transfusion-transmission ZIKV have been reported, indicating that it is transfusion-transmissible and therefore a risk to blood safety. We discuss why quantitative modeling the TT risk of ZIKV is currently problematic. Crown Copyright (C) 2017 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:154 / 164
页数:11
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