Evidence map›Paper›PMID 39933992›Full record

ArticleAnnals of laboratory medicine2025

XN-1000 Hematology Analyzer as an Alternative to Flow Cytometry for Measuring Residual Cells in Blood Components.

Anita Siller, Lisa Seekircher, Daniela Schmidt, Lena Tschiderer, Peter Willeit, Harald Schennach, Marco Amato

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anita SillerCentral Institute for Blood Transfusion and Immunology, University Hospital of Innsbruck, Tirol Kliniken GmbH, Innsbruck, Austria.ORCID https://orcid.org/0009-0003-7860-7144
Lisa SeekircherInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0003-0260-3262
Daniela SchmidtCentral Institute for Blood Transfusion and Immunology, University Hospital of Innsbruck, Tirol Kliniken GmbH, Innsbruck, Austria.ORCID https://orcid.org/0009-0002-4578-5086
Lena TschidererInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0001-7988-853X
Peter WilleitInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-1866-7159
Harald SchennachCentral Institute for Blood Transfusion and Immunology, University Hospital of Innsbruck, Tirol Kliniken GmbH, Innsbruck, Austria.ORCID https://orcid.org/0009-0005-8536-8780
Marco AmatoCentral Institute for Blood Transfusion and Immunology, University Hospital of Innsbruck, Tirol Kliniken GmbH, Innsbruck, Austria.ORCID https://orcid.org/0009-0002-4296-9760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Measuring residual cells in blood products is legally required for monitoring the manufacturing process and ensuring recipient safety. We compared the accuracy and performance of the two methodologies. Methods: Residual white blood cells (rWBCs), red blood cells (rRBCs), and platelets (rPLTs) were measured in RBC concentrates (rWBCs), fresh frozen plasma (rWBCs, rRBCs, and rPLTs), and PLT concentrates (rWBCs and rRBCs) using the Sysmex XN-1000 hematology analyzer (Sysmex, Kobe, Japan) equipped with Blood Bank mode and standard flow cytometry (fluorescence-activated cell sorting; FACS). Results: rWBC counts in RBC concentrates and plasma were similar between XN-1000 and FACS. In pooled pathogen-inactivated PLT concentrates, XN-1000 yielded higher rWBC counts. Correlations between XN-1000 and FACS were moderate for rWBCs (0.42, 95% confidence interval: 0.15-0.69) in RBC inline-filtrated WBC-depleted RBC concentrates. In plasma, correlations were high for rWBC, rRBC, and rPLT counts, with Spearman correlation coefficients of 0.82-0.97. In pathogen-inactivated PLT concentrates, correlations were moderate for rWBCs (0.58, 0.33-0.84) and rRBCs (0.61, 0.35-0.87) in pooled samples but not significant in apheresis-derived samples. Median differences between FACS and XN-1000 were generally low, but XN-1000 overestimated residual cell counts in a subset of measurements. Residual cell cut-off values were surpassed in >90% of RBC concentrates, plasma, and apheresis pathogen-inactivated PLT concentrates using both methods. In pooled pathogen-inactivated PLT concentrates, 91.2% and 70.6% surpassed the cut-off using FACS and XN-1000, respectively. Conclusions: Sysmex XN-1000 is suitable for residual cell measurements in RBC concentrates and plasma, with some limitations for PLT concentrates.

Indexed as

Flow CytometryBlood PlateletsErythrocytesHumansLeukocytesPlasmaBlood bank modeBlood componentsFlow cytometryResidual cellsSysmex XN-1000

Identifiers

PMID39933992
PMCPMC12187497

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.