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Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization.

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Title: Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization.
Authors: Pustavoitau, Aliaksei1 (AUTHOR) apustav1@jhmi.edu, Rizkalla, Nicole A.1 (AUTHOR), Perlstein, Brooke2 (AUTHOR), Ariyo, Promise1 (AUTHOR), Latif, Asad3 (AUTHOR), Villamayor, April J.1 (AUTHOR), Frank, Steven M.1 (AUTHOR), Merritt, William T.1 (AUTHOR), Cameron, Andrew M.4 (AUTHOR), Philosophe, Benjamin4 (AUTHOR), Ottmann, Shane4 (AUTHOR), Garonzik Wang, Jacqueline M.4 (AUTHOR), Wesson, Russell N.4 (AUTHOR), Gurakar, Ahmet5 (AUTHOR), Gottschalk, Allan1 (AUTHOR)
Source: Transfusion. Nov2020, Vol. 60 Issue 11, p2565-2580. 16p.
Database: Academic Search Ultimate
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An: 147105945
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  Data: Validation of predictive models identifying patients at risk for massive transfusion during liver transplantation and their potential impact on blood bank resource utilization.
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  Data: <searchLink fieldCode="JN" term="%22Transfusion%22">Transfusion</searchLink>. Nov2020, Vol. 60 Issue 11, p2565-2580. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=147105945
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        Value: 10.1111/trf.16019
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        Text: English
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              Text: Nov2020
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