Anemia Diagnosis, Classification, and Monitoring
Anemia Diagnosis, Classification, and Monitoring Using
Cell-Dyn Technology Reviewed for the New
Millennium
L. VAN HOVE, T. S CHISANO, L. BRACE
Abbott Laboratories, Diagnostics Division, Hematology, Santa Clara, California;
University of Illinois at Chicago, Department of Pathology, Division of Hospital Laboratories, Chicago, Illinois
Laboratory Hematology 6:93-108
© 2000 Carden Jennings Publishing Co., Ltd.
ABSTRACT
This review attempts to clarify the criteria used to diagnose and
classify anemias. Because Abbott Cell-Dyn masters most of the
technologies involved in anemia diagnosis and classification,
data generated on various Cell-Dyn hematology analyzers were used
to demonstrate the effect of technology differences on reported
erythrocyte parameters. In this study, a pulse-editing system
(Cell-Dyn 3700) and 2 hydrodynamic focused analyzers (Cell-Dyn
4000 and 3200) are included. The Cell-Dyn 4000 system reports red
cell parameters by impedance and the Cell-Dyn 3200 system by
light scatter analysis. Anemia is diagnosed by hemoglobin and
hematocrit (H&H) using the World Health Organization limits for
hemoglobin (male, 13 g/dL; female, 12 g/dL) and hematocrit
(male, 0.39; female, 0.36). The various automated red cell
parameters involved in anemia work-up are defined and reference
ranges are provided. The value of the rule of 3 is discussed in
monitoring the performance of the H&H along with its
relationship to the mean cell hemoglobin concentration (MCHC),
or cell chromicity. Anemia classification based on the mean cell
volume (MCV) and MCHC is presented, including various factors
that affect the MCV across the different technologies, such as
physio-logic changes (oxygenation and blood aging) and various
red blood cell pathologies, that result in inaccurate results.
Typical MCVs and red cell parameters for different anemias are
given. Red cell deformation and viscosity effects on the MCV and
MCHC measurements across the different technologies are
discussed in detail and show that the MCHC from
hydrodynamical-ly focused systems is a clinically useful
parameter, whereas the MCHC from pulse-editing systems should be
used only as a qual-ity control parameter. The relevance of a
clinically useful MCHC and accurate MCV in the classification of
anemias is documented with this evaluation's Cell-Dyn data and
compared with published information. In summary,
hydrodynamically focused hematology analyzers provide accurate
MCV and MCHC results in the classification of anemias.
 LH.6.2.6.VanhoveV2.pdf
 Copyright 1995-2010 - Carden Jennings Publishing Co., Ltd. All rights reserved. The material available at this site is for educational purposes only and is NOT intended for any diagnostic, clinically related, or other purpose. Carden Jennings Publishing Co., Ltd., assumes no responsibility for any use or misuse of this material and makes no warranty or representation of any kind with respect to the material available at this site.
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