Comparing the performance of three panels rules of blood smear review criteria on an Italian multicenter evaluation

Int J Lab Hematol. 2017 Dec;39(6):645-652. doi: 10.1111/ijlh.12720. Epub 2017 Oct 3.

Abstract

Background: The aims of this study were to compare the diagnostic accuracy of blood smear review criteria, by means of three different panel rules, those proposed by: the International Consensus Group for Hematology [41-ICGH rules], the Italian Survey [IS rules] and the Working Group on Hematology-SIBioC (WGH) consensus rules (WGH rules).

Methods: This study is based on 2707 peripheral blood (PB) samples referred for routine hematological testing to the WGH-associated laboratories displaced all over the Italian territory. The PB samples were processed on seven different hematology analyzers (HAs): Advia 2120i, XE-2100, BC-6800, ABX Pentra, XN-1000, Cell-DYN Sapphire, and DxH800, respectively. All the results provided by the HAs were analyzed through the application of three different blood smear review criteria: that is, the 41-ICGH, IS, and WGH rules. Finally, data were compared with those obtained by optical microscopy (OM), as the current gold standard.

Results: The overall the agreement OM classification with ICGH, IS, and WGH panel rules is 0.83, 0.83, and 0.85, respectively. The false negatives are 2.1%, 3.0%, and 2.9%, while false positives are 15.1%, 13.7%, and 11.7%, respectively. All the seven HAs showed variable interinstrument performance, as three different criteria for OM review were adopted on each of them from time to time.

Conclusion: These results presented show that the customization of validation rules is necessary for enhancing the quality of hematological testing and optimizing workflow.

Keywords: automated count; blood smear review rules; hematological testing; optical microscopy.

Publication types

  • Comparative Study
  • Evaluation Study
  • Multicenter Study

MeSH terms

  • Female
  • Hematologic Tests / instrumentation*
  • Hematologic Tests / methods*
  • Hematologic Tests / standards*
  • Humans
  • Italy
  • Male