[Comparison of testing methods for reticulated platelets]

Zhonghua Yi Xue Za Zhi. 2012 Dec 25;92(48):3423-5.
[Article in Chinese]

Abstract

Objective: To compare the accuracy, stability and sample cross-contamination of two independent methods of detecting the percentage of reticulated platelets in peripheral blood and establish a local normal reference range so as to provide methodological rationales in clinical laboratory.

Methods: The percentages of reticulated platelets in peripheral blood of a healthy population were measured by Sysmex XE-5000 blood cell analyzer with polymethyl oxazine staining and flow cytometer with thiazole orange staining respectively. The correlation between the results of two methods was analyzed by Spearman's nonparametric correlation. Information about stability was obtained from measurements of the percentages of reticulated platelets in peripheral blood at designated time points. The analyses of accuracy, sample cross contamination and local normal reference range were performed routinely.

Results: The coefficient of variation (CV) of data was lower (16.2%) than that from flow cytometer (35.1%). The sample cross-contaminations of two methods were the same at around 5%. The percentage of reticulated platelets in peripheral blood was stable and consistent whereas the results of flow cytometer fluctuated at different time points within 4 h after blood sampling. The correlation of results obtained from two methods was significant (P < 0.01, r(2) = 0.923). The local normal reference range was 1.0% - 7.5% for Sysmex XE-5000 versus 3.0% - 10.5% for flow cytometer.

Conclusions: Fully automatic blood cell analyze is more advanced than flow cytometer for its simple operation and stable data. And the former is an ideal first-choice for detecting the percentage of reticulated platelets in peripheral blood.

Publication types

  • Comparative Study
  • English Abstract

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Blood Platelets*
  • Female
  • Flow Cytometry / methods
  • Humans
  • Male
  • Middle Aged
  • Platelet Count / methods*
  • Young Adult