| Literature DB >> 35747581 |
Shruti Mishra1, Gaurav Chhabra1, Somanath Padhi1, Sonali Mohapatra2, Ashutosh Panigrahi2, Mukund Namdev Sable1, Prabodha Kumar Das2.
Abstract
Leukocyte cell population data (CPD) generated by hematology auto analyzers are reported to be useful in screening of sepsis patients. However, there is a paucity of literature highlighting the utility of CPD in screening of acute leukemias (AL). Leucocyte CPD obtained by Sysmex XN1000 hematology analyzer from 210 cases of ALs [22 acute promyelocytic leukemia (APL), 79 non-APL acute myeloid leukemia (non-APL-AML) and 109 acute lymphoblastic leukemia (ALL)] were compared with 100 healthy and 52 reactive controls. Receiver operator curves were drawn to determine the cut-off values of individual parameters. The regression equations combining the best parameters were then formulated to calculate a cut-off value for discrimination among AL subgroups and controls. Acute leukemias showed significant differences (p < 0.05) in various CPD parameters compared to control subjects. A combination of best CPD parameters discriminated ALs from healthy controls (cut off; 0.443, sensitivity of 94% and specificity of 91%), ALs from reactive controls (cut off; 0.576, sensitivity; 97%, specificity; 92%), APL from non-APL-AML (cut off; 0.174, sensitivity of 91% and specificity of 67%), and AML from ALL (cut off; 1.338, sensitivity; 86.1%, specificity; 75%). The CPD from Sysmex XN 1000 analyzer could be a useful tool in screening and lineage characterization of acute leukemias; particularly at centers where high-end technical expertise is still not available. Supplementary Information: The online version contains supplementary material available at 10.1007/s12288-021-01488-9. © Indian Society of Hematology and Blood Transfusion 2021.Entities:
Keywords: Acute leukemia; Automated hematology analyzers; CPD; Sysmex XN 1000
Year: 2021 PMID: 35747581 PMCID: PMC9209545 DOI: 10.1007/s12288-021-01488-9
Source DB: PubMed Journal: Indian J Hematol Blood Transfus ISSN: 0971-4502 Impact factor: 0.915