Automated counting of cells in cerebrospinal fluid using the CellDyn-4000 haematology analyser. 2002

Johannes J M L Hoffmann, and Willy C M Janssen
Department of Clinical Laboratories, Catharina Hospital, Eindhoven, The Netherlands. hans.hoffmann@cze.nl

Counting of cells in cerebrospinal fluid is currently performed manually. Because of the inherent analytical and economical disadvantages, we attempted to introduce a fully automated method. Therefore, we validated the Abbott CellDyn-4000 haematology analyser for counting cells in cerebrospinal fluid. The analyser was used in its standard configuration with the simple precaution of a preceding blank sample. As for leukocyte counting the analyser yielded high precision (CV approximately 5% above the upper reference limit), good linearity, low limit of detection (2/microl) and excellent correlation (r > 0.99) with the counting chamber method. The differential leukocyte count was equally accurate and precise, even in the low concentration range. Performance of the erythrocyte count was impaired by its high limit of detection (6/nl) and it appeared satisfactory only for detecting blood admixture due to traumatic puncture. The specificity of the analyser is excellent, since it correctly classified non-viable leukocytes and excluded yeast cells from the leukocyte count in a patient with cryptococcal meningitis. We conclude that the CellDyn-4000 is well suited for quickly and reliably counting leukocytes in cerebrospinal fluid. Developing some software modifications might make the analyser useful also for performing erythrocyte counting in cerebrospinal fluid.

UI MeSH Term Description Entries
D007962 Leukocytes White blood cells. These include granular leukocytes (BASOPHILS; EOSINOPHILS; and NEUTROPHILS) as well as non-granular leukocytes (LYMPHOCYTES and MONOCYTES). Blood Cells, White,Blood Corpuscles, White,White Blood Cells,White Blood Corpuscles,Blood Cell, White,Blood Corpuscle, White,Corpuscle, White Blood,Corpuscles, White Blood,Leukocyte,White Blood Cell,White Blood Corpuscle
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002452 Cell Count The number of CELLS of a specific kind, usually measured per unit volume or area of sample. Cell Density,Cell Number,Cell Counts,Cell Densities,Cell Numbers,Count, Cell,Counts, Cell,Densities, Cell,Density, Cell,Number, Cell,Numbers, Cell
D002555 Cerebrospinal Fluid A watery fluid that is continuously produced in the CHOROID PLEXUS and circulates around the surface of the BRAIN; SPINAL CORD; and in the CEREBRAL VENTRICLES. Cerebro Spinal Fluid,Cerebro Spinal Fluids,Cerebrospinal Fluids,Fluid, Cerebro Spinal,Fluid, Cerebrospinal,Fluids, Cerebro Spinal,Fluids, Cerebrospinal,Spinal Fluid, Cerebro,Spinal Fluids, Cerebro
D005434 Flow Cytometry Technique using an instrument system for making, processing, and displaying one or more measurements on individual cells obtained from a cell suspension. Cells are usually stained with one or more fluorescent dyes specific to cell components of interest, e.g., DNA, and fluorescence of each cell is measured as it rapidly transverses the excitation beam (laser or mercury arc lamp). Fluorescence provides a quantitative measure of various biochemical and biophysical properties of the cell, as well as a basis for cell sorting. Other measurable optical parameters include light absorption and light scattering, the latter being applicable to the measurement of cell size, shape, density, granularity, and stain uptake. Cytofluorometry, Flow,Cytometry, Flow,Flow Microfluorimetry,Fluorescence-Activated Cell Sorting,Microfluorometry, Flow,Cell Sorting, Fluorescence-Activated,Cell Sortings, Fluorescence-Activated,Cytofluorometries, Flow,Cytometries, Flow,Flow Cytofluorometries,Flow Cytofluorometry,Flow Cytometries,Flow Microfluorometries,Flow Microfluorometry,Fluorescence Activated Cell Sorting,Fluorescence-Activated Cell Sortings,Microfluorimetry, Flow,Microfluorometries, Flow,Sorting, Fluorescence-Activated Cell,Sortings, Fluorescence-Activated Cell
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001322 Autoanalysis Method of analyzing chemicals using automation. Autoanalyses
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity

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