CONTRIBUTI SCIENTIFICI – Scientific Papers
Volume:
Biochimica Clinica 2020; 44(1) 028-035
Pubblicato on-line:
Luglio 8, 2019
DOI:
10.19186/BC_2019.042
Valutazione delle prestazioni analitiche dei conteggi cellulari in automazione su liquidi biologici mediante un programma di controllo di qualità dedicato
AUTORI
Unità Operativa Complessa. Servizio di Medicina di Laboratorio, Azienda Ospedaliera Papa Giovanni XXIII di Bergamo
ABSTRACT
Evaluation of the analytical performances of the cell counting on biological fluids using a dedicated program of quality control
Introduction: the development of new technologies in the era of information technology and digitization has certainly influenced the clinical laboratory and quality management system. The aim of this work is to verify the utility of a dedicated software (SNCS – Sysmex, Inc. Kobe, Japan) for the improvement of quality control management procedures of quantitative parameters obtained by the automated cell counting in biological liquids.
Methods: the measurements were performed on the XN “Body Fluid Mode” (XN-BF) analytical system (Sysmex, Inc. Kobe, Japan) according to the manufacturer’s specifications. The parameters that can be included in the report using this mode are the total nucleated elements count, the leukocyte count, the differentiation of mononuclear from polymorphonuclear cells and the erythrocyte count.
Results: our study included: a comparative evaluation between the laboratory CVs and the CV of an international homogeneous group; a retroactive evaluation from the SNCS software using the standard deviation index and the precision index used as accuracy and precision measurements. Finally, a daily comparison was made between the Levi-Jennings cards of the instrument and the SNCS intra-day report, to improve the timely evaluation of the random error.
Conclusion: using the SNCS software, the performance of the analyzers can be precisely monitored and compared on an internaional basis. Its utility lies in the possibility of comparing internal performances with those of a group of laboratories using the same instruments and the same controls, allowing the quantification of the analytical bias.
