ArticleVox sanguinis2026
Rapid anti-HPA-1a antibody quantification with a Luminex bead-based assay: A method evaluation.
Article in Vox sanguinis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Rapid anti-HPA-1a antibody quantification with a Luminex bead-based assay: A method evaluation.Vox sanguinis · 2026Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesHigh concentration of human platelet antigen-1a (HPA-1a) antibodies is reported to be associated with severe foetal and neonatal alloimmune thrombocytopaenia (FNAIT). The gold standard for quantification of anti-HPA-1a antibodies is the monoclonal antibody immobilization of platelet antigen (MAIPA) assay, which is a laborious method performed in only a few reference laboratories. The aim of this study was to evaluate the performance of the commercially available bead-based Luminex assay PakLx (Immucor) for quantitative measurement of anti-HPA-1a antibodies. MATERIALS AND
methodsWe analysed anti-HPA-1a antibody levels in plasma samples from 42 HPA-1a-negative women who had given birth to a child with thrombocytopaenia. Quantification of antibodies was performed with two different techniques: MAIPA analysed by spectrophotometry with results expressed in international units (IU)/mL, and PakLx analysed in the Luminex assay with results expressed as the mean fluorescence intensity (MFI).
resultsIn the comparison of the two methods' ability to stratify a result as either positive or negative, PakLx demonstrated 97.6% agreement with the MAIPA assay, with positive and negative predictive values of 96.7% and 100%, respectively. The correlation of the MFI values from PakLx with IU/mL in MAIPA assay was high, with a correlation coefficient (R
conclusionPakLx shows high agreement with the MAIPA assay and allows fast laboratory turnaround time for the determination of anti-HPA-1a antibody levels. The result may be of predictive value in clinical assessments.
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