Evidence map›Paper›PMID 41853790›Full record

ArticleAdvances in laboratory medicine2026

Comparative analysis of platelet counts using Beckman Coulter DxH-900, Mindray BC-6800 Plus, CellaVision DM9600 and the flow cytometry reference method: addressing the challenge of giant platelets.

Álvaro Piedra-Aguilera, Alba Leis-Sestayo, Alicia Martínez-Iribarren, Laura Jiménez-Añón, Jennifer Rodríguez-Domínguez, Ghali Ech Cherif-El Kettani, Xavier Tejedor-Ganduxé, Rebeca Jurado-Tapiador, Cristian Morales-Indiano

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Article in Advances in laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Álvaro Piedra-AguileraClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Alba Leis-SestayoClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Alicia Martínez-IribarrenClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Laura Jiménez-AñónClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Jennifer Rodríguez-DomínguezClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Ghali Ech Cherif-El KettaniClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Xavier Tejedor-GanduxéClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.
Rebeca Jurado-TapiadorHematology Laboratory, ICO-IJC-Hospital Germans Trias I Pujol, UAB, Badalona, Spain.
Cristian Morales-IndianoClinical Analysis and Biochemistry Department, Germans Trias i Pujol University Hospital, Badalona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the analytical performance of platelet counts obtained by impedance- and optical-based methods on the DxH-900 and BC-6800 Plus analyzers, and by digital morphology using the CellaVision DM9600, in comparison with the international reference method (IRM), in samples with thrombocytopenia and both normal-sized and giant platelets. Methods: Platelet counts were analyzed in peripheral blood samples from patients with thrombocytopenia and normal platelet counts, including cases with normal-sized and giant platelets. Each sample was tested using two automated analyzers: the DxH-900 (impedance) and the BC-6800 Plus (impedance and optical). Results were compared with the IRM based on flow cytometry, performed on the DxFlex analyzer. Precision was assessed. The methods were compared by Passing-Bablok regression and bias calculation. Additionally, platelet morphology was reviewed digitally using CellaVision DM9600. Results: All methods demonstrated high precision and strong correlation with IRM in samples with normal-sized platelets. However, significant discrepancies were observed in the presence of giant platelets. Impedance methods showed higher imprecision (CV>10 %) and underestimated platelet counts with a negative bias exceeding -25 %. Conversely, the optical method showed better correlation (r=0.9888) and precision (CV=1.6 %), although it overestimated counts with a positive bias of 19.4 %. Digital morphology also demonstrated strong agreement with IRM. Conclusions: These findings highlight the analytical limitations of routine technologies in challenging samples and emphasize the importance of method selection for accurate platelet reporting. A correction factor for optical counts and the integration of digital morphology could enhance diagnostic reliability in cases involving giant platelets.

Indexed as

flow cytometrygiant plateletsimpedanceoptical methodplatelet countthrombocytopenia

Identifiers

PMID41853790
PMCPMC12994698

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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.