Analytical comparison between two hematological analyzer systems: Mindray BC-5180 vs Sysmex XN-1000

J Clin Lab Anal. 2019 Oct;33(8):e22955. doi: 10.1002/jcla.22955. Epub 2019 Jun 20.

Abstract

Background: To compare the Mindray BC-5180 and Sysmex XN-1000 instruments by analyzing the results of complete blood count in the external quality assessment in Shandong Province in 2018.

Methods: In the external quality assessment, 10 batches of quality control materials were issued throughout the year. The test items were WBC, RBC, Hb, PLT, and HCT. The laboratories using Mindray BC-5180 and Sysmex XN-1000 were screened, and the results were analyzed by t test, Passing-Bablok regression analysis, and Bland-Altman analysis.

Results: Thirty-six laboratories using Mindray BC-5180 instruments and thirty-six laboratories using Sysmex XN-1000 instruments were screened, and the average difference between the two instruments results is not significant (P > 0.05, t test). Passing-Bablok regression analysis showed that the 95% confidence interval of the regression equation interception of each test item included 0, and the 95% confidence interval of the slope contained 1, r > 0.98, which showed that the correlation is good. The Bland-Altman analysis showed that both instruments had more than 95% of the points within the 95% consistency limit (WBC97.2%, RBC95.6%, PLT97.2%, Hb96.7%, HCT97.5%). Within the consistency limit, the absolute value of the difference between the Mindray BC-5180 instrument and the Sysmex XN-1000 instrument is WBC 0.14%, RBC 0.26%, PLT 2.7%, and Hb 1.9%. HCT is 0.69%, and the difference is clinically acceptable.

Conclusion: It can be considered that the two instruments have good correlation and consistency, and the two instruments can replace each other.

Keywords: Bland-Altman; Mindray BC-5180; Passing-Bablok; Sysmex XN-1000; complete blood count; consistency.

Publication types

  • Comparative Study

MeSH terms

  • Blood Cell Count / instrumentation*
  • Blood Cell Count / methods
  • Blood Cell Count / standards
  • Blood Cells / cytology
  • Blood Cells / physiology*
  • Hematology / instrumentation*
  • Humans
  • Laboratories / standards*
  • Laboratories / statistics & numerical data
  • Quality Control
  • Reference Values
  • Regression Analysis
  • Reproducibility of Results