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Optimization of Cellular analysis of Synovial Fluids by optical microscopy and automated count using the Sysmex XN Body Fluid Mode.

Authors :
Seghezzi M
Buoro S
Manenti B
Mecca T
Ferrari R
ZappalĂ  G
Castelli CC
Balboni F
Pezzati P
Ottomano C
Lippi G
Source :
Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2016 Nov 01; Vol. 462, pp. 41-48. Date of Electronic Publication: 2016 Aug 28.
Publication Year :
2016

Abstract

Background: This study was planned to assess the impact of pre-treating synovial fluid (SF) samples with hyaluronidase (HY), defining the best procedure for optical microscopy (OM) analysis and evaluating the performance of Sysmex XN-9000 Body Fluid module (XN-BF).<br />Methods: The cell count by OM was carried out both with and without HY pre-treatment, and using 3 different types of staining reagents. The evaluation of XN-BF included data comparison with OM (100 SFs), carryover, Limit of Blank (LoB), Limit of Detection (LoD), Limit of Quantitation (LoQ) and linearity.<br />Results: Unlike cell count in Burker's chamber and staining with Stromatol, pre-treatment with HY and staining with Methylene Blue and Turk's promoted cell clustering. The SF samples pre-treated with HY displayed excellent morphological quality, contrary to samples without HY pre-treatment. Excellent correlation was found between total cells counting with both OM and XN-BF. Satisfactory agreement was also observed between polymorphonuclear neutrophils compared to XN-BF parameter, whereas mononuclear cell count on XN-BF had suboptimal agreement with OM. The carryover was negligible. The LoB, LoD, LoQ and linearity were excellent.<br />Conclusion: XN-BF displays excellent performance, which makes it a reliable and practical alternative to OM for SF samples analysis in clinical laboratories.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-3492
Volume :
462
Database :
MEDLINE
Journal :
Clinica chimica acta; international journal of clinical chemistry
Publication Type :
Academic Journal
Accession number :
27581597
Full Text :
https://doi.org/10.1016/j.cca.2016.08.018