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Transfusion. 2019 May 23. doi: 10.1111/trf.15351. [Epub ahead of print]

A national Transfusion Register of Irregular Antibodies and Cross (X)-match Problems: TRIX, a 10-year analysis.

Author information

1
Amphia Hospital, Breda, the Netherlands.
2
Radboud University Medical Centre, Nijmegen, the Netherlands.
3
Amsterdam University Medical, VUmc, Amsterdam, the Netherlands.
4
Sanquin Diagnostic Services BV, Amsterdam, the Netherlands.
5
Zuyderland Medical Centre, Sittard, the Netherlands.

Abstract

BACKGROUND:

The Transfusion Register of Irregular Antibodies and Cross-match Problems (TRIX) is a unique national database in the Netherlands that was launched in 2007. Transfusion laboratories register the presence of irregular RBC alloantibodies for their patients and can consult the database for information that is relevant for pretransfusion testing, unknown in their own laboratory information system.

STUDY DESIGN AND METHODS:

Data from the TRIX database 10 years after implementation have been analyzed to demonstrate the added value of TRIX for transfusion practice. TRIX antibody registration, antibody disappearance likelihood, and differences between men and women have been analyzed and evaluated.

RESULTS:

In the 10-year period 2007 to 2016, a total of 80,164 alloantibodies have been identified and registered in 62,110 individuals. Of the antibodies, 81% were reported in women and 19% in men (female:male, 4.3:1). Rh (DCcEe and Cw ), K, Fya , and Jka antibodies account for 65.6% of all antibody registrations. M and Lewis antibodies account for 18.6% of all antibodies. Antibody disappearance likelihood is relatively high for the clinically relevant antibodies directed against Jkb , s, Fyb , and e. Antibodies directed against D, Fya , and K have a relatively low antibody disappearance likelihood.

CONCLUSION:

TRIX is a unique and useful tool for transfusion laboratories for timely and up-to-date information on the presence of erythrocyte antibodies, which improves pretransfusion testing and compatible blood selection. TRIX also provides macro data on the prevalence of individual antibodies and antibody disappearance likelihoods that can be used for developing blood type matching strategies for patient groups at risk. © 2019 AABB.

PMID:
31121075
DOI:
10.1111/trf.15351

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