Wintrobe's Clinical Hematology 14e SC
4 Part 1: Laboratory Hematology— SECTION 1
ensure reproducibility of results between laboratories. It is important to
0.5% to 1.5%, although they may be 2.5% to 6.5% in newborns (falling
scan the entire blood smear at low power to ensure that all atypical cells
to adult levels by the second week of life). Because there are relatively
low numbers of reticulocytes, the CV for manual reticulocyte counting is relatively large (10%-20% or higher). 44-46
and cellular distribution patterns are recognized. In wedge-pushed smears,
leukocytes tend to aggregate in the feathered edge and side of the blood
To increase the accuracy of reticulocyte counting, automated detection
smear rather than in the center of the slide. Larger cells in particular (blasts and monocytes) tend to aggregate at the edges of the blood smear. 56 The
methods using fluorescent dyes that bind to RNA allow for many more
cells to be analyzed, thereby increasing the accuracy and precision of counts. 47,48 Most hematology analyzers offer automated reticulocyte counting and can report reticulocyte numbers with routine CBC parameters. CVs of 10% or less can be achieved using automated analyzers. 24,25,49
use of coverslip preparations and spinner systems tends to minimize this
artifact of cell distribution. For wedge-pushed smears, it is recommended
that a battlement pattern of smear scanning be used in which one counts
fields in one direction, then changes direction and counts an equal number of fields before changing direction again to minimize distributional errors. 55
Differences in reticulocyte counts obtained from different analyzers
have been observed, which are likely related to instrument-specific technologies. 9 Current instruments also have the capability to report
In manual leukocyte counts, three main sources of error are found:
distribution of cells on the slide, cell recognition errors, and statistical
sampling errors. Poor blood smear preparation and staining are major
novel reticulocyte parameters such as immature reticulocyte fraction
contributors to cell recognition and cell distribution errors. Statistical
(IRF) and reticulocyte cellular indices such as cell volume and Hb
content. The IRF quantitates younger reticulocytes identified by more
errors are the main source of error inherent in manual counts because of
intense staining with RNA stains. However, the clinical utility of these
the small sample size in counts of 100 or 200 cells. The CV in manual
novel parameters is still being investigated. Potential clinical uses for
counts is between 5% and 10% and is also highly dependent on the skill
IRF include as an indicator of early marrow recovery in bone marrow
of the technician performing the differential. Ac uracy may be improved
transplant, an indicator of response to treatment with erythropoietic stimulating agents, and as an alternative to the manually calculated RPI. 46 Nucleated Red Blood Cell Counts
by increasing the numbers of cells counted, but for practical purposes, most laboratories will do a differential on 100 white cells. 11,57
Automated leukocyte differentials markedly decrease the time and
cost of performing routine examinations as well as improving precision
with CVs of approximately 3% for normal neutrophil and lymphocyte counts. 25,57,58 However, automated analysis is incapable of accurately
Circulating nucleated red blood cells (NRBCs) are abnormal in adults
and are seen in conditions such as acute hemolysis and hypoxic stress,
identifying and classifying all types of cells and is particularly insensi-
reflecting an increase in marrow erythropoietic activity, and can also be
tive to abnormal or immature cells, especially in small numbers. There
seen with bone marrow involvement by hematologic or other malignan-
have been some improvements in the ability of instrument to identify immature granulocytes, including blasts. 11 However, a comparison of five
cies. NRBCs are also normally seen in newborns, particularly premature
newborns, and young infants. Modern hematology analyzers provide
analyzers demonstrated that samples containing blasts may be missed,
enumeration of circulating NRBCs, with results expressed as number of
in particular with low WBC counts, and that blasts may sometimes be
NRBCs per volume of blood and as a percentage per 100 WBCs. Auto-
misclassified as other cell types, such as variant lymphocytes. Instrument
mated counts have been historically challenging because these cells have
blast flags may also be generated in samples where circulating blasts are not subsequently confirmed by microscopy. 9 For these reasons, instrument flags for possible abnormal white cell populations indicate the need for examination by a skilled morphologist. 15,58
a size and nucleus similar to mature lymphocytes and misclassification
because lymphocytes can lead to errors in the total leukocyte count and
differential. Correction of WBC counts may be necessary in the presence
of high numbers of NRBCs. Although analyzers have become more
Hematology analyzers identify cells based on the combinations of
sophisticated in the identification of NRBCs, a study of five common
cellular size, cell complexity, and staining characteristics, allowing for
hematology analyzers demonstrated poor concordance of NRBC counts
generation of a five-part differential count that enumerates neutrophils, monocytes, lymphocytes, eosinophils, and basophils. 24 Most analyzers use
between instruments and also between automated and manual counts, likely representing differences in instrument technologies. 9
flow cytometric techniques where the cells are suspended in diluent and
passed through an optical flow cell in a continuous stream so that single cells
LEUKOCYTE ANALYSIS White Blood Cell Counts
are analyzed (Figure 1.1). The differential data are plotted as a histogram
(Figure 1.2), which displays and classifies cell populations based on their
characteristics. Lymphocytes are characterized as small unstained cells (no
myeloperoxidase staining). Atypical/reactive lymphocytes, some blasts,
circulating plasma cells, or other abnormal cells are larger than mature
Leukocytes (WBCs) may also be enumerated by either manual methods
lymphocytes with low internal complexity and no myeloperoxidase activity
or automated hematology analyzers. WBCs are counted after dilution of
and are classified as large unstained cells. Neutrophils have higher internal
blood in a diluent that lyses the RBCs (usually acid or detergent). The
complexity (because of segmented nucleus and granules) and appear as
much lower numbers of leukocytes present require less dilution of the
larger cells. Eosinophils appear smaller than neutrophils because they tend
blood than is needed for RBC counts. As with red cell counts, manual
to absorb some of their own light scatter. Monocytes have lower levels of
leukocyte counts have more inherent error, with CVs ranging from 6.5%
complexity, are usually found between neutrophils and lymphocytes, and can be challenging to accurately classify. 11 To enumerate basophils, which are
in cases with normal or increased white cell counts to 15% in cases with decreased white cell counts. 50 Automated methods characteristically yield CVs in the 1% to 3% range for normal or elevated counts but also with increased CVs (approximately 6%) for lowWBC counts. 24,25 Automated leukocyte counts may be falsely elevated, with inaccurate differentials, in the presence of cryoglobulins or cryofibrinogen, 51 giant platelets or platelet clumps, 52 and nucleated RBCs, or when there is incomplete lysis counts have also been reported because of granulocyte agglutination secondary to surface immunoglobulin interactions. 53,54 Leukocyte Differentials of red cells, possibly requiring manual counting. Falsely low neutrophil
few in number and lack specific staining characteristics, a basophil-nuclear
lobularity channel may be utilized. For this determination, RBCs andWBCs
are differentially lysed, leaving bare leukocyte nuclei, with the exception
of basophils, which are resistant to lysis, and can then be counted based
on relatively large cell size because of the retained cytoplasm. Analysis
using this technique examines thousands of cells per sample, increasing
statistical accuracy, although the accuracy of automated basophil counts is still recognized as a challenge for all analyzers. 11,24,59
Copyright © 2019 Wolters Kluwer, Inc. Unauthorized reproduction of the content is prohibited. Hematology analyzers may have settings that allow for evaluation of red cell and white cell populations in very hypocellular specimens, such as body fluids. Because higher numbers of cells are evaluated, the
WBCs are analyzed to find the relative percentage of each cell type in a
accuracy of cell counts and differential counting is improved over manual counting methods. 60-63 However, manual techniques are still commonly used for cerebrospinal fluid and body fluid specimens. 11
differential leukocyte count. This information can be used to determine
absolute counts for each cell type by multiplying the percentage by the
total WBC count. Uniform standards for performing manual differential leukocyte counts on blood smears have been proposed by the CLSI 55 to
Automated digital image analysis is now used by some hematology
analyzers. For instance, CellaVision has an automated image analyzer
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