Literature DB >> 27124911

Evaluation of Sysmex XN-1000 High-Sensitive Analysis (hsA) Research Mode for Counting and Differentiating Cells in Cerebrospinal Fluid.

Chérina Fleming1, Henk Russcher1, Rob Brouwer1, Jan Lindemans1, Robert de Jonge2.   

Abstract

OBJECTIVES: Counting cells in cerebrospinal fluid (CSF) using automated analyzers is generally problematic due to low precision at low cell numbers. To overcome this limitation, Sysmex (Kobe, Japan) developed the high-sensitive analysis (hsA) research mode specifically for counting cells in fluids that contain low cell counts. We evaluated this mode by counting RBCs, WBCs, and differentiated WBCs in CSF samples.
METHODS: We analyzed 248 CSF samples using the hsA mode and compared these results with those obtained using the manual counting method. We also evaluated the linearity, detection limits, carryover, and precision of the hsA mode.
RESULTS: Using the hsA mode, the lower limit of quantification for RBCs and WBCs was 10 and 2 cells/μL, respectively. Comparing the two methods revealed good agreement with respect to WBCs (y = 1.08x + 0.52), RBCs (y = 1.07x + 0.00), lymphocytes (y = 1.00x + 0.00), neutrophils (y = 1.05x + 0.00), and monocytes (y = 0.88x + 0.07). Regression analysis for samples containing low WBCs (<10 cells/μL) and low RBCs (<50 cells/μL) also had good agreement, although a slight positive bias was found for RBCs. Linearity was good (r(2) ≥ 0.99) for all parameters evaluated. Carryover was negligible and never exceeded 0.04%.
CONCLUSIONS: The XN hsA research mode provides reliable cell counts in CSF samples, even in samples containing low numbers of WBCs and RBCs. © American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Automated body fluid cell counting; Cerebrospinal fluid; Counting chamber; Limit of quantification; Sysmex Xn-Series; hsA research mode

Mesh:

Year:  2016        PMID: 27124911     DOI: 10.1093/ajcp/aqv093

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  7 in total

1.  Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer.

Authors:  Tomohiko Ai; Yoko Tabe; Hiroyuki Takemura; Konobu Kimura; Toshihiro Takahashi; Haeun Yang; Koji Tsuchiya; Aya Konishi; Kinya Uchihashi; Takashi Horii; Akimichi Ohsaka
Journal:  PLoS One       Date:  2018-02-09       Impact factor: 3.240

2.  Cerebrospinal fluid lens-free microscopy: a new tool for the laboratory diagnosis of meningitis.

Authors:  Robin Delacroix; Sophie Nhu An Morel; Lionel Hervé; Thomas Bordy; Jean-Marc Dinten; Michel Drancourt; Cédric Allier
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

3.  The use of a hematology analyzer with a new generation of software as an alternative to flow cytometry for enumerating residual white blood cells in blood components.

Authors:  Richard Alejo Blanco; Chloe Cavagnetto; Laura Willmott; Elif Aydogdu; Nicola Akinyemi; Helena Standring; Simon Procter; Stephen F Garner; Atsushi Shirakami; Jarob Saker; Joachim Linssen; Rebecca Cardigan
Journal:  Transfusion       Date:  2019-11-26       Impact factor: 3.157

4.  Automated Analysis of Cerebrospinal Fluid Cells Using Commercially Available Blood Cell Analysis Devices-A Critical Appraisal.

Authors:  Manfred Wick; Catharina C Gross; Hayrettin Tumani; Brigitte Wildemann; Martin Stangel
Journal:  Cells       Date:  2021-05-18       Impact factor: 6.600

5.  Evaluation of cell count and classification capabilities in body fluids using a fully automated Sysmex XN equipped with high-sensitive Analysis (hsA) mode and DI-60 hematology analyzer system.

Authors:  Hiroyuki Takemura; Tomohiko Ai; Konobu Kimura; Kaori Nagasaka; Toshihiro Takahashi; Koji Tsuchiya; Haeun Yang; Aya Konishi; Kinya Uchihashi; Takashi Horii; Yoko Tabe; Akimichi Ohsaka
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

6.  Performance Evaluation of Body Fluid Cellular Analysis Using the Beckman Coulter UniCel DxH 800, Sysmex XN-350, and UF-5000 Automated Cellular Analyzers.

Authors:  Jooyoung Cho; Joowon Oh; Sang Guk Lee; You Hee Lee; Jaewoo Song; Jeong Ho Kim
Journal:  Ann Lab Med       Date:  2020-03       Impact factor: 3.464

7.  Residual red cells in blood components: A multisite study of fully automated enumeration using a hematology analyzer.

Authors:  Chloe Cavagnetto; Richard Alejo Blanco; Hollie McKenna; Laura Willmott; Elif Aydogdu; Nicola Akinyemi; Helena Standring; Simon Procter; Johan W Lagerberg; Elin Johansson; Harry Croxon; Dirk de Korte; Stephen F Garner; Atsushi Shirakami; Jarob Saker; Joachim Linssen; Rebecca Cardigan
Journal:  Transfusion       Date:  2020-11-17       Impact factor: 3.157

  7 in total

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