The impact of automation of extended erythrocyte phenotyping in the routine of a blood transfusion center
DOI:
https://doi.org/10.11606/issn.1679-9836.v101i4e-190105Keywords:
Automation laboratory, Blood group antigens, Blood group incompatibility, Erythrocyte transfusionAbstract
Objective. Evaluate the impact of automation on expanded erythrocyte phenotyping and the level of agreement between it and the manual methodology in samples from blood donors treated at the blood center coordinating the Fundação HEMOPA from january to december 2019. Material and Methods. 2,700 erythrocyte phenotyping performed by manual and automated methodology using BioRad® IH500 equipment was analyzed. The results were tested for the level of agreement using the Kappa Coefficient test. Results. Of the phenotyped samples, 98,6% (2,662 / 2,700) were in agreement in both methodologies and only 1,4% (38/2700) were in disagreement. Of the 38 discordant samples, 31,6% referred to the Lu(b) phenotype; 15,8% to the Lu(a) phenotype; 13,1% to the Fy phenotype (b); 7,9% to Le(b), E, c phenotypes; 5,3% to N, S, s, Kp (a), P1 phenotypes; and 2,6% for phenotypes M, Jk(a), Jk(b), Fy(a). Conclusions. The level of agreement between data obtained through manual and automated erythrocyte phenotyping techniques was 98.6%. The implementation of this methodology had a positive impact, with an increase of 1,649 more processed samples compared to the same period of the previous year.
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References
Brasil. Ministério da Saúde. Portaria de Consolidação no 05 de 28/07/2017, do Ministério da Saúde. Brasília: Diário Oficial da União; 2017.
Baiochi E, Nardoza LMM. Aloimunização. Rev Bras Ginecol Obstet. 2009;31(6):311-9. https://doi.org/10.1590/S0100-72032009000600008
da Silva SF, Ferreira GM, Silva SL, et al. Red blood cell and leukocyte alloimmunization in patients awaiting kidney transplantation. Rev Bras Hematol Hemoter. 2013;35(3):185-8. doi: https://doi.org/10.5581/1516-8484.20130043
Bolton-Maggs PH, Cohen H. Serious Hazards of Transfusion (SHOT) haemovigilance and progress is improving transfusion safety. Br J Haematol. 2013;163(3):303-14. doi: https://doi.org/10.1111/bjh.12547
Sousa Neto AL, Barbosa MH. Incidentes transfusionais imediatos: revisão integrativa da literatura. Acta Paul Enferm. 2012;25(1):146-50. doi: https://doi.org/10.1590/S0103-21002012000100025
Alves VM, Martins PRJ, Soares S, Araújo G, Schmidt LC, Costa SSM, Langhi DM, Moraes-Souza H. Alloimmunization screening after transfusion of red blood cells in a prospective study. Rev Bras Hematol Hemoter. 2012;34(3):206-11. doi: https://doi.org/10.5581/1516-8484.20120051
Arora S, Doda V, Maria A, Kotwal U, Goyal S. Maternal anti-M induced hemolytic disease of newborn followed by prolonged anemia in newborn twins. Asian J Transfus Sci. 2015;9(1):98-101. doi: https://doi.org/10.4103/0973-6247.150968
Li S, Mo C, Huang L, Shi X, Luo G, Ji Y, Fang Q. Hemolytic disease of the fetus and newborn due to alloanti-M: three Chinese case reports and a review of the literature. Transfusion. 2019;59(1):385-395. doi: https://doi.org/10.1111/trf.15054
Machado AC, Sell AM, Macedo LC, Reis PG, Visentaine JEL. Frequências fenotípicas dos grupos sanguíneos Kell, Duffy e Kidd em doadores de sangue do Hemonúcleo de Apucarana, Sul do Brasil. RBAC. 2018;50(1):76-9. doi: https://doi.org/10.21877/2448-3877.201800605
Bajpai M, Kaur R, Gupta E. Automation in immunohematology. Asian J Transfus Sci. 2012;6(2):140-4. doi: https://doi.org/10.4103/0973-6247.98914
Schoenfeld H, Pretzel KJ, von Heymann C, Neuner B, Kalus U, Kiesewetter H, Pruss A. Validation of a hospital-laboratory workstation for immunohematologic methods. Transfusion. 2010;50(1):26-31. doi: https://doi.org/10.1111/j.1537-2995.2009.02359.x
Campana GA, Oflustil CP. Conceitos de automação na medicina laboratorial: revisão de literatura. J Bras Patol Med Lab. 2011;47(2):119-27. https://doi.org/10.1590/S1676-24442011000200005
Bhagwat SN, Sharma JH, Jose J, Modi CJ. Comparison between conventional and automated techniques for blood grouping and crossmatching: experience from a tertiary care centre. J Lab Physicians. 2015;7(2):96-102. doi: https://doi.org/10.4103/0974-2727.163130
Park SH, Kim J, Lim JH, Jeong J, Lee SH. Performance Evaluation of Automated Immunohematology Analyzer IH-500 for Blood Bank Testing. Indian J Hematol Blood Transfus. 2019;35(4):731-5. doi: https://doi.org/10.1007/s12288-019-01127-4
Shin KH, Kim HH, Chang CL, Lee EY. Economic and workflow analysis of a blood bank automated system. Ann Lab Med. 2013;33(4):268-73. doi: https://doi.org/10.3343/alm.2013.33.4.268
Chang C, Brown M, Davies L, Pointon L, Brown R, Barker D. Evaluation of Erytra® fully automated analyser for Routine Use in Transfusion Laboratory. Transfus Med. 2014;24(1):33-8. doi: https://doi.org/10.1111/tme.12073
Cheng YW, Wilkinson JM. An experience of the introduction of a blood bank automation system (Ortho AutoVue Innova) in a regional acute hospital. Transfus Apher Sci. 2015;53(1):58-63. doi: https://doi.org/10.1016/j.transci.2015.03.007
Shin JW, Shin WY, Lee DL. Comparison of ABO Blood Group Typing between Automated Blood Bank Analyzer IH-500 and Manual Method. Korean J Blood Transfus. 2017;28(2):126-33. doi: https://doi.org/10.17945/kjbt.2017.28.2.126.
Gupte SC. Automation in Blood Centre: its impact on blood safety. Asian J Transfus Sci. 2015;9(Suppl 1):S6-S10. doi: https://doi.org/10.4103/0973-6247.157016
Hamilton JK. Kidd Blood Group System: outwardly simple with hidden complexity. ISBT Science Series. 2018;0:1-6. https://doi.org/10.1111/voxs.12458
Roback JD, Barclay S, Moulds JM, Denomme GA. A multicenter study on the performance of a fully automated, walk-away high-throughput analyzer for pretransfusion testing in the US population. Transfusion. 2015;55(62):1522-8. doi: https://doi.org/10.1111/trf.13053
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