A Jordan1,2, D Chen3,4, Q-L Yi5, T Kanias6,7, M T Gladwin6,7,8, J P Acker1,2. 1. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada. 2. Centre for Innovation, Canadian Blood Services, Edmonton, AB, Canada. 3. Canadian Blood Services, Centre for Blood Research, University of British Columbia, Vancouver, BC, Canada. 4. Department of Pathology, University of British Columbia, Vancouver, BC, Canada. 5. Canadian Blood Services, Ottawa, ON, Canada. 6. Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA. 7. Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA. 8. Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Abstract
BACKGROUND AND OBJECTIVES: Quality control (QC) data collected by blood services are used to monitor production and to ensure compliance with regulatory standards. We demonstrate how analysis of quality control data can be used to highlight the sources of variability within red cell concentrates (RCCs). MATERIALS AND METHODS: We merged Canadian Blood Services QC data with manufacturing and donor records for 28 227 RCC between June 2011 and October 2014. Units were categorized based on processing method, bag manufacturer, donor age and donor sex, then assessed based on product characteristics: haemolysis and haemoglobin levels, unit volume, leucocyte count and haematocrit. RESULTS: Buffy-coat method (top/bottom)-processed units exhibited lower haemolysis than units processed using the whole-blood filtration method (top/top). Units from female donors exhibited lower haemolysis than male donations. Processing method influenced unit volume and the ratio of additive solution to residual plasma. CONCLUSIONS: Stored red blood cell characteristics are influenced by prestorage processing and donor factors. Understanding the relationship between processing, donors and RCC quality will help blood services to ensure the safety of transfused products.
BACKGROUND AND OBJECTIVES: Quality control (QC) data collected by blood services are used to monitor production and to ensure compliance with regulatory standards. We demonstrate how analysis of quality control data can be used to highlight the sources of variability within red cell concentrates (RCCs). MATERIALS AND METHODS: We merged Canadian Blood Services QC data with manufacturing and donor records for 28 227 RCC between June 2011 and October 2014. Units were categorized based on processing method, bag manufacturer, donor age and donor sex, then assessed based on product characteristics: haemolysis and haemoglobin levels, unit volume, leucocyte count and haematocrit. RESULTS: Buffy-coat method (top/bottom)-processed units exhibited lower haemolysis than units processed using the whole-blood filtration method (top/top). Units from female donors exhibited lower haemolysis than male donations. Processing method influenced unit volume and the ratio of additive solution to residual plasma. CONCLUSIONS: Stored red blood cell characteristics are influenced by prestorage processing and donor factors. Understanding the relationship between processing, donors and RCC quality will help blood services to ensure the safety of transfused products.
Authors: Om B Jahagirdar; Aditya M Mittal; Waogwende L Song-Naba; Ritu Jha; Stacy B Kiven; Susan T Thompson; John E Connett; Kalpna Gupta Journal: Haematologica Date: 2019-02-14 Impact factor: 9.941
Authors: Tamir Kanias; Mars Stone; Grier P Page; Yuelong Guo; Stacy M Endres-Dighe; Marion C Lanteri; Bryan R Spencer; Ritchard G Cable; Darrell J Triulzi; Joseph E Kiss; Edward L Murphy; Steve Kleinman; Mark T Gladwin; Michael P Busch; Alan E Mast Journal: Transfusion Date: 2018-11-26 Impact factor: 3.157
Authors: Olga Mykhailova; Carly Olafson; Tracey R Turner; Angelo DʼAlessandro; Jason P Acker Journal: Transfusion Date: 2020-08-19 Impact factor: 3.157
Authors: Tamir Kanias; Marion C Lanteri; Grier P Page; Yuelong Guo; Stacy M Endres; Mars Stone; Sheila Keating; Alan E Mast; Ritchard G Cable; Darrell J Triulzi; Joseph E Kiss; Edward L Murphy; Steve Kleinman; Michael P Busch; Mark T Gladwin Journal: Blood Adv Date: 2017-06-27
Authors: Rosa de Groot; Jeroen Lakerveld; Johannes Brug; Johan W Lagerberg; Dirk de Korte; Trynke Hoekstra; Wim L A M de Kort; Katja van den Hurk Journal: Blood Transfus Date: 2019-10-21 Impact factor: 3.443