The platelet count accuracy of platelet concentrates obtained by using automated analysis is influenced by instrument bias and activated platelet components.

ABSTRACT

BACKGROUND AND OBJECTIVES: The blood platelet content (in numbers) of platelet concentrates is required for production quality control and to predict clinical responses. MATERIALS AND METHODS: This study compared the performance of automated counting from impedance and optical instruments to data from immunoplatelet reference analysis. RESULTS: All methods showed good linearity with evidence of significant instrument-specific deviations from the line of agreement. Relational formulae largely corrected bias, but did not resolve platelet count variability. A second confounding factor, related to the proportion of small (activated) platelets, was also shown to contribute to intermethod discrepancies. CONCLUSIONS: Blood processing centres should establish correction factors for each instrument compared to reference methods, such as the immunoplatelet count.