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Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells

BACKGROUND: Although some studies have suggested that transfusion recipients may have better medical outcomes if transfused with red blood cell units stored for a short time, the overall body of evidence shows mixed results. It is important to understand how using fresher stored red blood cell units...

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Autores principales: Simonetti, Arianna, Ezzeldin, Hussein, Menis, Mikhail, McKean, Stephen, Izurieta, Hector, Anderson, Steven A., Forshee, Richard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358863/
https://www.ncbi.nlm.nih.gov/pubmed/28319164
http://dx.doi.org/10.1371/journal.pone.0174033
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author Simonetti, Arianna
Ezzeldin, Hussein
Menis, Mikhail
McKean, Stephen
Izurieta, Hector
Anderson, Steven A.
Forshee, Richard A.
author_facet Simonetti, Arianna
Ezzeldin, Hussein
Menis, Mikhail
McKean, Stephen
Izurieta, Hector
Anderson, Steven A.
Forshee, Richard A.
author_sort Simonetti, Arianna
collection PubMed
description BACKGROUND: Although some studies have suggested that transfusion recipients may have better medical outcomes if transfused with red blood cell units stored for a short time, the overall body of evidence shows mixed results. It is important to understand how using fresher stored red blood cell units for certain patient groups may affect blood availability. METHODS: Based on the Stock-and-Flow simulation model of the US blood supply developed by Simonetti et al. 2014, we evaluated a newly implemented allocation method of preferentially transfusing fresher stored red blood cell units to a subset of high-risk group of critically ill patients and its potential impact on supply. RESULTS: Simulation results showed that, depending on the scenario, the US blood total supply might be reduced between 2-42%, when compared to the standard of care in transfusion medicine practice. Among our simulated scenarios, we observed that the number of expired red blood cell units modulated the supply levels. The age threshold of the required red blood cell units was inversely correlated with both the supply levels and the number of transfused units that failed to meet that age threshold. CONCLUSION: To our knowledge, this study represents the first attempt to develop a comprehensive framework to evaluate the impact of preferentially transfusing fresher stored red blood cells to the higher-risk critically ill patients on supply. Model results show the difficulties to identify an optimal scenario.
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spelling pubmed-53588632017-04-06 Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells Simonetti, Arianna Ezzeldin, Hussein Menis, Mikhail McKean, Stephen Izurieta, Hector Anderson, Steven A. Forshee, Richard A. PLoS One Research Article BACKGROUND: Although some studies have suggested that transfusion recipients may have better medical outcomes if transfused with red blood cell units stored for a short time, the overall body of evidence shows mixed results. It is important to understand how using fresher stored red blood cell units for certain patient groups may affect blood availability. METHODS: Based on the Stock-and-Flow simulation model of the US blood supply developed by Simonetti et al. 2014, we evaluated a newly implemented allocation method of preferentially transfusing fresher stored red blood cell units to a subset of high-risk group of critically ill patients and its potential impact on supply. RESULTS: Simulation results showed that, depending on the scenario, the US blood total supply might be reduced between 2-42%, when compared to the standard of care in transfusion medicine practice. Among our simulated scenarios, we observed that the number of expired red blood cell units modulated the supply levels. The age threshold of the required red blood cell units was inversely correlated with both the supply levels and the number of transfused units that failed to meet that age threshold. CONCLUSION: To our knowledge, this study represents the first attempt to develop a comprehensive framework to evaluate the impact of preferentially transfusing fresher stored red blood cells to the higher-risk critically ill patients on supply. Model results show the difficulties to identify an optimal scenario. Public Library of Science 2017-03-20 /pmc/articles/PMC5358863/ /pubmed/28319164 http://dx.doi.org/10.1371/journal.pone.0174033 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Simonetti, Arianna
Ezzeldin, Hussein
Menis, Mikhail
McKean, Stephen
Izurieta, Hector
Anderson, Steven A.
Forshee, Richard A.
Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title_full Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title_fullStr Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title_full_unstemmed Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title_short Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells
title_sort modeling the potential impact on the us blood supply of transfusing critically ill patients with fresher stored red blood cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358863/
https://www.ncbi.nlm.nih.gov/pubmed/28319164
http://dx.doi.org/10.1371/journal.pone.0174033
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