Background: Among the more complex tests for the diagnostic workup of acute leukemia (AL), automated hematology cell counters provide leucocyte cell population data (CPD) parameters along with the basic complete blood count (CBC) that have the ability to recognize morphological changes in these cells. Aim of the work: Assessment of the efficiency of CPD research parameters obtained by Sysmex XN-1000 auto-analyzer to predict the diagnosis of AL and its subclassification into acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL).
Patients and methods: Cell population data (CPD) parameters from 103 newly diagnosed AL samples were processed on Sysmex XN-1000 auto-analyzer and compared with 101 age-matched controls (51 healthy and 50 reactive subjects).
Results: We found significant differences in many CPD neutrophilic, monocytic, and lymphocytic population together with parameters between AL patients and both healthy and reactive controls, particularly those related to the width of dispersion of the parameters related to neutrophil side scatter intensity, neutrophil forward scatter intensity, lymphocyte side scatter intensity, monocyte side scatter intensity and monocyte side fluorescence intensity. To differentiate AML from ALL, the most significant differences were found in the median values of monocyte side scatter and monocyte side fluorescence along with the neutrophil forward scatter area distribution width and neutrophil forward scatter.
Conclusion: The CPD parameters generated from Sysmex XN-1000 auto-analyzer during CBC analysis could be a useful tool for the prediction of AL and its lineage.