van Sambeeck Joost H J, de Wit Puck D, Luken Jessie, Veldhuisen Barbera, van den Hurk Katja, van Dongen Anne, Koopman Maria M W, van Kraaij Marian G J, van der Schoot C Ellen, Schonewille Henk, de Kort Wim L A M, Janssen Mart P
Department of Transfusion Technology Assessment, Sanquin Research, Amsterdam, Netherlands.
Center for Healthcare Operations Improvement and Research, University of Twente, Enschede, Netherlands.
Front Med (Lausanne). 2018 Jul 25;5:199. doi: 10.3389/fmed.2018.00199. eCollection 2018.
Alloimmunization is currently the most frequent adverse blood transfusion event. Whilst completely matched donor blood would nullify the alloimmunization risk, this is practically infeasible. Current matching strategies therefore aim at matching a limited number of blood groups only, and have evolved over time by systematically including matching strategies for those blood groups for which (serious) alloimmunization complications most frequently occurred. An optimal matching strategy for controlling the risk of alloimmunization however, would balance alloimmunization complications and costs within the entire blood supply chain, whilst fulfilling all practical requirements and limitations. In this article the outline of an integrated blood management model is described and various potential challenges and prospects foreseen with the development of such a model are discussed.
目前，同种免疫是最常见的输血不良事件。虽然完全匹配的供体血液可消除同种免疫风险，但这在实际中并不可行。因此，当前的匹配策略仅旨在匹配有限数量的血型，并且随着时间的推移，通过系统地纳入针对（严重）同种免疫并发症最常发生的血型的匹配策略而不断发展。然而，一种用于控制同种免疫风险的最佳匹配策略应在整个血液供应链中平衡同种免疫并发症和成本，同时满足所有实际要求和限制。本文描述了一种综合血液管理模型的概要，并讨论了随着这种模型的发展所预见的各种潜在挑战和前景。
