Evidence map›Paper›PMID 39908300›Full record

ArticleTransfusion2025

Use of an anti-D-alloimmunization kinetics model to correct the interval censored D-alloimmunization rate following red blood cell transfusions.

Emil Ainsworth Jochumsen, Kathleen Selleng, Jay S Raval, Carolina Bonet Bub, Jose M Kutner, Ulrik Sprogøe, Mark H Yazer

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Article in Transfusion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Emil Ainsworth JochumsenDepartment of Clinical Immunology, Odense University Hospital, Odense, Denmark.ORCID https://orcid.org/0009-0003-6374-6598
Kathleen SellengInstitute of Transfusion Medicine, University Hospital Greifswald, Greifswald, Germany.
Jay S RavalDepartment of Pathology, University of New Mexico, Albuquerque, New Mexico, USA.
Carolina Bonet BubHospital Israelita Albert Einstein, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0001-5103-4970
Jose M KutnerHospital Israelita Albert Einstein, Sao Paulo, Brazil.
Ulrik SprogøeDepartment of Clinical Immunology, Odense University Hospital, Odense, Denmark.ORCID https://orcid.org/0000-0003-4426-5054
Mark H YazerDepartment of Clinical Immunology, Odense University Hospital, Odense, Denmark.ORCID https://orcid.org/0000-0001-6740-2758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe rate of D-alloimmunization amongst RhD-negative recipients of RhD-positive red blood cell (RBC) transfusions is not certain. Recipients with a short duration between the index RhD-positive transfusion and the last antibody detection test that did not show anti-D might become D-alloimmunized in the future. A regression model was developed to predict how often such patients might develop D-alloimmunization in the future to help account for the immunohematological uncertainty that accompanies having short serological follow up periods.

methodsUsing the published literature on recipients who were intentionally transfused with RhD-positive RBCs and serially followed with antibody screens, as well as unpublished datasets, a regression model was constructed to demonstrate the timing of D-alloimmunization for recipients who became D-alloimmunized within 6 months following the index transfusion. The model was then applied to a series of RhD-negative hospitalized recipients of at least one unit of RhD-positive RBCs who did not become D-alloimmunized but who had fewer than 6 months of serological follow up to weight their contribution to the D-alloimmunization rate.

resultsOverall, the rate of D-alloimmunization was 21/105 (20.0%). There were 39 patients whose last documented antibody screen was performed between 14 days and 6 months after the index RhD-positive transfusion, and these patients were entered into the weighted model. After applying the model, the D-alloimmunization rate rose to 26.3%.

conclusionUsing a weighted model can help reduce the immunohematological uncertainty that accompanies the inclusion of patients with relatively short serological follow up in studies of RBC alloimmunization.

Indexed as

Erythrocyte TransfusionIsoantibodiesRh-Hr Blood-Group SystemRho(D) Immune GlobulinFemaleHumansKineticsMaleIsoantibodiesRh-Hr Blood-Group SystemRHO(D) antibodyRho(D) antigenRho(D) Immune Globulinanti‐Dmodelpatientsratered blood cellsRhD alloimmunizationRhD‐positivetransfusion

Identifiers

PMID39908300
PMCPMC12035998

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