Literature DB >> 29344019

Using Blood Donor-Derived ABO and RhD Blood Groups Helps to Detect Wrong Blood in Tube Errors in Recipients.

Christoffer Dellgren1, Mark H Yazer2, Ulrik Sprogøe1.   

Abstract

BACKGROUND: Comparing the ABO and RhD group of a recipient's current pre-transfusion sample against their historical group is an important means of detecting wrong blood in tube (WBIT) errors. This study investigated the utility of using the donor ABO and RhD group as the historical check for recipients.
METHODS: A single database stores serological information on blood donors, pregnant women, and patients throughout southern Denmark. A donor ABO and RhD group can be the historical blood group should that donor later require a transfusion. This database was searched to determine how often the ABO and RhD group on a recipient's current pre-transfusion sample was discrepant with their historical donor-derived blood group.
RESULTS: During about 21 years, ABO and RhD groupings were performed on 76,455 blood donors and on 424,697 patients. There were 13,630/424,697 (3.2%) patients who had their donor-derived ABO and RhD group used as the historical comparison with the current sample; 6/13,630 (0.04%) of the current pre-transfusion samples on these patients were discrepant with the donor-derived historical group because of WBIT errors. Seven other discrepancies with the donor-derived blood group were also found.
CONCLUSION: Accessing the donor-derived ABO and RhD group can be an important safeguard against WBIT-mediated mistransfusions.

Entities:  

Keywords:  ABO blood group; Blood transfusion; Data management system; Donors; Error; Transfusion risks

Year:  2017        PMID: 29344019      PMCID: PMC5757575          DOI: 10.1159/000471887

Source DB:  PubMed          Journal:  Transfus Med Hemother        ISSN: 1660-3796            Impact factor:   3.747


  7 in total

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2.  Nearly two decades using the check-type to prevent ABO incompatible transfusions: one institution's experience.

Authors:  Priscila I Figueroa; Alyssa Ziman; Christine Wheeler; Jeffrey Gornbein; Michael Monson; Loni Calhoun
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3.  Enhanced detection of blood bank sample collection errors with a centralized patient database.

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Journal:  Transfusion       Date:  2008-09-16       Impact factor: 3.157

Review 4.  From serological to computer cross-matching in nine hospitals.

Authors:  J Georgsen; T Kristensen
Journal:  Vox Sang       Date:  1998       Impact factor: 2.144

5.  Unreliable patient identification warrants ABO typing at admission to check existing records before transfusion.

Authors:  V Ferrera-Tourenc; B Lassale; J Chiaroni; I Dettori
Journal:  Transfus Clin Biol       Date:  2015-04-27       Impact factor: 1.406

6.  Implementation of a two-specimen requirement for verification of ABO/Rh for blood transfusion.

Authors:  Lawrence T Goodnough; Maurene Viele; Magali J Fontaine; Christine Jurado; Nancy Stone; Peter Quach; Lee Chua; Mei-Ling Chin; Robert Scott; Irina Tokareva; Kevin Tabb; Paul J Sharek
Journal:  Transfusion       Date:  2009-03-31       Impact factor: 3.157

7.  An international study of the performance of sample collection from patients.

Authors:  W H Dzik; M F Murphy; G Andreu; N Heddle; C Hogman; R Kekomaki; S Murphy; M Shimizu; C T Smit-Sibinga
Journal:  Vox Sang       Date:  2003-07       Impact factor: 2.144

  7 in total

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