Lab Med Qual Assur.  2020 Mar;42(1):26-32. 10.15263/jlmqa.2020.42.1.26.

Comparison of Body Fluid Differential CountsUsing a Manual Counting Method oran Automated Hematology Analyzer

• Lee J
• Jeon K
• Lee J
• Kim M
• Kim HS
• Kang HJ
• Lee YK

• KMID: 2505230
• DOI: http://doi.org/10.15263/jlmqa.2020.42.1.26

Abstract

Background
Two methods of counting cells in body fluids were compared;manual counting using a Neubauer chamber, and automated cell countingusing an XN-350 hematology analyzer.
Methods
Cells from 32 body fluid samples were counted by manualexamination and by an automated analyzer. Total cells (TC), white bloodcells (WBC), red blood cells (RBC), polymorphonuclear leukocytes (PMN),mononuclear leukocytes (MN), neutrophils, lymphocytes, monocytes, andeosinophils were each counted by both methods. The results were comparedusing the Pearson correlation test, Bland-Altman regression analysis, andPassing-Bablok regression analysis.
Results
The two methods showed very strong correlation in TC, WBC,RBC, PMN, and MN counts, strong correlation in % neutrophils, and %lymphocytes, and weak correlation in % monocytes and % eosinophils.Using Bland-Altman regression analysis, the mean biases for TC, WBC, andRBC were -270, -257.4, and -1,256.09, respectively, and 0.15 for PMN andMN. Research parameters were compared as well: mean biases were -1.31,-2.46, -5.16, and -3.58 for % neutrophils, % monocytes, % lymphocytes,and % eosinophils, respectively. Passing-Bablok regression equationswere y=1.039x+20, y=1.037x+19, y=1.259x+0.0, y=0.983x+1.541, andy=0.983x+0.125 for TC, WBC, RBC, PMN, and MN, respectively. The equationswere y=0.955x+2.194 for % neutrophils, y=0.965x+1.184 for % monocytes,y=1.003x+0.161 for % lymphocytes, and y=x+0.75 for % eosinophils.
Conclusions
WBC differential count results performed by an automatedhematology analyzer generally show good correlation with our referencemethod, Neubauer chamber counting.

Keyword

Body fluids; Differential count; Automated hematology analyzer