Literature DB >> 25635118

Evaluating large-scale blood transfusion therapy for the current Ebola epidemic in Liberia.

Alexander Gutfraind1, Lauren Ancel Meyers2.   

Abstract

BACKGROUND: To combat the 2014-2015 Ebola virus disease (EVD) epidemic in West Africa, the World Health Organization urged the rapid evaluation of convalescent whole blood (CWB) and plasma (CP) transfusion therapy. However, the feasibility and likely impacts of broad implementation of transfusions are yet unknown.
METHODS: We extended an Ebola virus transmission model published by the Centers for Disease Control and Prevention to include hospital-based convalescent donations and transfusions. Using recent epidemiological estimates for EVD in Liberia and assuming that convalescent transfusions reduce the case-fatality rate to 12.5% (range, 7.5%-17.5%), we projected the impacts of a countrywide ramp-up of transfusion therapy.
RESULTS: Under the 10% case-hospitalization rate estimated for Liberia in September 2014, large-scale CP therapy is expected to save 3586 lives by October 2015 (3.1% mortality reduction; 95% confidence interval [CI], .52%-4.5%). Under a higher 30% hospitalization rate, CP transfusions are expected to save 151 lives (0.9% of the total; 95% CI, .21%-11%).
CONCLUSIONS: Transfusion therapy for EVD is a low-cost measure that can potentially save many lives in West Africa but will not measurably influence the prevalence. Under all scenarios considered, CP transfusions are predicted to achieve greater reductions in mortality than CWB.
© The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Ebola virus disease; convalescent blood; dynamic model; polyclonal antibody therapy; transfusion

Mesh:

Year:  2015        PMID: 25635118      PMCID: PMC4447839          DOI: 10.1093/infdis/jiv042

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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