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Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes
Published on: March 22, 2022
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Local verification between the hematological analyzers Sysmex XN-series and XE-5000
I Pérez1, M E Redín1, A Vives1
1Laboratory Medicine, Core Laboratory, University Hospital Donostia, Guipuzcoa, Spain.
International Journal of Laboratory Hematology
|March 20, 2016
Summary
The Sysmex XN-2000 hematology analyzer shows satisfactory precision and reliability for routine laboratory use, with excellent agreement for most parameters compared to the XE-5000. Some discrepancies were noted for neutrophil and basophil counts.
Area of Science:
- Clinical diagnostics
- Hematology automation
- Laboratory medicine
Background:
- Verification of new hematology analyzers is crucial for reliable diagnostic testing.
- The Sysmex XN-2000 is a new automated hematology system requiring performance evaluation.
- Comparison with established systems like the Sysmex XE-5000 provides a benchmark for validation.
Purpose of the Study:
- To verify the performance of the Sysmex XN-2000 hematology analyzer.
- To compare the Sysmex XN-2000 with the Sysmex XE-5000, assessing precision, carryover, and systematic error.
- To evaluate analytical performance against biological variability criteria and flag comparison studies.
Main Methods:
- Precision (within-run and between-batch) assessed per ICSH guidelines.
- Comparative analysis of 206 peripheral blood samples using Sysmex XN-2000 and XE-5000.
- Statistical evaluation via Passing-Bablok and Bland-Altman analyses; leucocyte flag efficiency measured.
Main Results:
- Between-batch precision did not meet biological variability criteria or manufacturer specifications for some parameters.
- Non-agreement observed for neutrophil and basophil counts based on biological variability.
- Excellent agreement found for red blood cell parameters, platelets, lymphocytes, monocytes, and eosinophils.
Conclusions:
- The Sysmex XN-2000 demonstrates satisfactory integration into core laboratory routines.
- Overall precision, comparability, and efficiency indicate optimal reliability for routine diagnostics.
- While most parameters show excellent agreement, specific cell counts require careful monitoring.

