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Related Experiment Videos

Automation in the hematology laboratory

J A De Lange, W P Rutten, N A Schmidt

    Journal of Clinical Chemistry and Clinical Biochemistry. Zeitschrift Fur Klinische Chemie Und Klinische Biochemie
    |October 1, 1976
    PubMed
    Summary

    Conflicting red blood cell parameters from the Coulter Counter Model S can indicate sample issues. Reanalyzing heated samples helps identify cold agglutinins, paraproteins, or other interferences affecting results.

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    Area of Science:

    • Clinical Hematology
    • Laboratory Medicine
    • Diagnostic Testing

    Background:

    • Routine hematology analysis can yield conflicting red blood cell parameters.
    • Specific parameters like mean corpuscular hemoglobin concentration (MCHC) above 36 g/dL signal potential sample abnormalities.

    Purpose of the Study:

    • To investigate the causes of conflicting red blood cell parameter results obtained with the Coulter Counter Model S.
    • To correlate immunological findings with red blood cell parameters in specific clinical scenarios.

    Main Methods:

    • Analysis of red blood cell parameters (MCV, MCH, MCHC) using the Coulter Counter Model S.
    • Re-analysis of blood samples before and after heating at 37°C for 1 hour to detect cold agglutinins.
    • Correlation of parameter discrepancies with potential interfering factors such as paraproteins, bilirubin, high leukocyte counts, and antibody-coated red blood cells (Coombs test positive).

    Main Results:

    • Elevated MCHC values (>36 g/dL) suggest sample interference, potentially due to cold agglutinins or paraproteins.
    • Heating samples can differentiate between cold agglutinin-induced agglutination and other interfering factors.
    • High MCH values may be associated with antibody-coated red blood cells or medication effects (e.g., Azathioprine).

    Conclusions:

    • Abnormal red blood cell parameters can indicate underlying immunological or interfering factors.
    • Sample pre-treatment (heating) and correlation with immunological tests aid in accurate diagnosis.
    • Understanding these interferences improves the reliability of hematological analyses.

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