000132836 001__ 132836
000132836 005__ 20250923084415.0
000132836 0247_ $$2doi$$a10.1111/vox.13609
000132836 0248_ $$2sideral$$a137765
000132836 037__ $$aART-2024-137765
000132836 041__ $$aeng
000132836 100__ $$aPérez-Aliaga, Ana Isabel
000132836 245__ $$aRoutine results of an algorithm for managing the production of blood components
000132836 260__ $$c2024
000132836 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132836 5203_ $$aBackground and Objectives
The variability in the number of donations together with a growing demand for platelet concentrates and plasma‐derived medicines make us seek solutions aimed at optimizing the processing of blood. Some mathematical models to improve efficiencies in blood banking have been published. The goal of this work is to validate and evaluate an algorithm's impact in the production of blood components in the Blood and Tissues Bank of Aragon (BTBA).
Materials and Methods
A mathematical algorithm was designed, implemented and validated through simulations with real data. It was incorporated into the fractionation area, which uses the Reveos® fractionation system (Terumo BCT) to split blood into its components. After 9 months of daily routine validation, retrospective activity data from the Blood Bank and Transfusion Services before and during the use of the algorithm were compared.
Results
Using the algorithm, the outdating rate of platelet concentrates (PC) decreased by 87.8% in the blood bank. The average shelf life remaining of PC supplied to Transfusion Services increased by almost 1 day. As a consequence, the outdating rate in the Aragon Transfusion Network decreased by 33%. In addition, extra 100 litres of plasma were obtained in 9 months.
Conclusions
The algorithm improves the blood establishment's workflow and facilitates the decision‐making process in whole blood processing. It resulted in a decrease in PC outdating rate, increase in PC shelf life and finally an increase in the volume of recovered plasma, leading to significant cost savings.
000132836 536__ $$9info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-116873GB-I00$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130702B-I00
000132836 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000132836 590__ $$a1.6$$b2024
000132836 592__ $$a0.565$$b2024
000132836 591__ $$aHEMATOLOGY$$b67 / 98 = 0.684$$c2024$$dQ3$$eT3
000132836 593__ $$aMedicine (miscellaneous)$$c2024$$dQ2
000132836 593__ $$aHematology$$c2024$$dQ2
000132836 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132836 700__ $$aAyerra, Irene
000132836 700__ $$aSánchez-Guillén, Javier
000132836 700__ $$0(orcid)0000-0002-7615-2559$$aLópez, F. Javier$$uUniversidad de Zaragoza
000132836 700__ $$aPuente, Fernando
000132836 700__ $$aAranda, Alfonso
000132836 700__ $$aDomingo, José María
000132836 700__ $$aGarcés, Carmen
000132836 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000132836 773__ $$g119, 6 (2024), 541-547$$pVox sang.$$tVox sanguinis$$x0042-9007
000132836 8564_ $$s336890$$uhttps://zaguan.unizar.es/record/132836/files/texto_completo.pdf$$yVersión publicada
000132836 8564_ $$s2134377$$uhttps://zaguan.unizar.es/record/132836/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132836 909CO $$ooai:zaguan.unizar.es:132836$$particulos$$pdriver
000132836 951__ $$a2025-09-22-14:32:30
000132836 980__ $$aARTICLE