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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Vox Sanguinisarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Vox Sanguinis
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Vox Sanguinis
Article . 2020
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Serologic assessments in acute transfusion reactions: practices and yields

Authors: Robert Cohen; Ana Lima; Alioska Escorcia; Farzana Tasmin; Yulia Lin; Lani Lieberman; Jacob Pendergrast; +2 Authors

Serologic assessments in acute transfusion reactions: practices and yields

Abstract

Background & ObjectivesSerologic testing after transfusion reactions (TRs) aims to find accountable immune haemolytic incompatibility. Our hospital policies recommend serologic testing in all TR, except for low‐risk fevers (subclinical temperature <39°C) or uncomplicated allergic reactions. Assessing compliance with these guidelines and serologic testing yields may provide insights on quality of practice and value.Materials & MethodsInterrogation of two haemovigilance databases identified all possible‐to‐definite TR over a 4‐year period (2013–2016) at four academic hospitals. We reviewed the performance and outcome of serologic testing by site, year, reaction type, implicated product and service.ResultsSerologic testing occurred in 769 (55%) of 1408 referrals, with 1153 (82%) compliant with guidelines. Similar proportions deviated to overtesting (85/550 [15%]) and undertesting (174/858 [20%]), with undertesting seen most often in atypical TR. Overall, 30 (4.4%) of 769 cases had a new finding, but only 2 (0.3%) reflected host‐derived antibodies. Overall, the number needed to test to discover an unexpected allospecificity was 385, or 253 if limited to high‐risk fevers. Reaction‐ and product‐specific yields ranged from 0% to 48%. The yield in complicated allergic reactions was low at 2%, constituting only predictable passive isohaemagglutinin(s) in retrospect. Investigated IVIG TR accounted for most of this cohort’s signal by passive isohaemagglutinins in 48%.ConclusionThe performance of post‐TR serologic testing revealed practice gaps and expected context‐specific yields. Tailored serologic testing (i.e. indirect antiglobulin tests for alloantibodies in post‐RBC/high‐risk febrile reactions, ± isoagglutinin‐focused tests after IVIG or ABO‐minor‐mismatched platelets) may improve value and liberate resources for other unmet needs in TR investigation.

Keywords

Blood Safety, Practice Guidelines as Topic, Humans, Transfusion Reaction, Blood Transfusion, Female, Serologic Tests, Guideline Adherence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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