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A comparison of five methods for estimating red cell aggregation.

M W Rampling, P Whittingstall

    Klinische Wochenschrift
    |October 15, 1986
    PubMed
    Summary
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    Five methods for measuring red blood cell aggregation were compared. The erythrocyte sedimentation rate, viscometry, and Paar device showed the highest sensitivity for detecting fibrinogen-induced aggregation.

    Area of Science:

    • Biomedical Engineering
    • Hematology
    • Biophysics

    Background:

    • Red blood cell aggregation is a key factor in blood flow and oxygen transport.
    • Accurate measurement of red blood cell aggregation is crucial for diagnosing and managing various diseases.

    Purpose of the Study:

    • To compare the performance of five different techniques for quantifying red blood cell aggregation.
    • To evaluate the sensitivity, range of response, and clinical applicability of each method.

    Main Methods:

    • Comparison of direct microscopic observation, erythrocyte sedimentation rate (ESR) test, low shear rate viscometry, Myrenne Erythrocyte Aggregometer, and Paar Oscillating Capillary Rheometer.
    • Red blood cells were suspended in buffer with varying concentrations of fibrinogen as an aggregating agent.

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    Main Results:

    • All tested methods demonstrated a fibrinogen threshold concentration for aggregation response.
    • Erythrocyte sedimentation rate, viscometry, and the Paar device exhibited the highest range of response and sensitivity.
    • The Myrenne Erythrocyte Aggregometer offers simplicity and rapidity for clinical use.
    • Direct microscopic observation, while less sensitive, provides unequivocal data due to its direct nature.

    Conclusions:

    • The choice of method for assessing red blood cell aggregation depends on the specific clinical or research application.
    • High sensitivity methods like ESR, viscometry, and the Paar device are suitable for detailed analysis.
    • The Myrenne device is practical for routine clinical assessments.
    • Direct microscopy remains valuable for its data integrity, despite lower sensitivity.