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Related Experiment Videos

High-density lipoprotein cholesterol. Significant bias between methods.

B Gerson, L Dean, B E Copeland

    American Journal of Clinical Pathology
    |May 1, 1979
    PubMed
    Summary
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    High-density lipoprotein cholesterol (HDL-C) is a valuable indicator for coronary heart disease risk. HDL-C levels are independent of total serum cholesterol, highlighting their distinct roles in cardiovascular health assessment.

    Area of Science:

    • Cardiovascular Medicine
    • Clinical Chemistry
    • Biochemistry

    Background:

    • High-density lipoprotein cholesterol (HDL-C) is increasingly recognized for its role in assessing coronary heart disease (CHD) risk.
    • An inverse relationship exists between HDL-C levels and the risk of developing CHD.
    • Accurate quantification of HDL-C is crucial for reliable risk assessment.

    Purpose of the Study:

    • To compare the accuracy of a rapid cholesterol oxidase method with the Abell-Kendall method for quantifying HDL-C.
    • To evaluate the utility of HDL-C as a risk factor indicator in young adults (20-35 years).
    • To investigate the relationship between total serum cholesterol and HDL-C and the efficiency of HDL-C lipid-clearing functions.

    Main Methods:

    • Comparative analysis of two distinct laboratory methods for HDL-C quantification.

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  • Clinical study involving normal male and female volunteers aged 20 to 35 years.
  • Statistical analysis to determine the independence of total serum cholesterol and HDL-C as risk indicators.

    • Main Results:

    • A significant bias of 11.1 mg/dl (0.289 mmol/l) was observed between the rapid cholesterol oxidase method and the Abell-Kendall method.
    • The two methods showed no significant difference in the usual range of total serum cholesterol.
    • HDL-C was confirmed as a valuable risk factor indicator in the studied age group.
    • Total serum cholesterol and HDL-C were found to be independent indicators of risk.
    • Variability in HDL-C lipid-clearing function efficiency was noted.
    • Attempts to predict HDL-C from lipoprotein electrophoresis patterns were unsuccessful.

    Conclusions:

    • Methodological variations in HDL-C quantification can impact risk assessment; laboratory-specific performance evaluation is recommended.
    • HDL-C is a significant and independent indicator of coronary heart disease risk, particularly in young adults.
    • Further research into HDL-C lipid-clearing mechanisms and predictive patterns is warranted.