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Related Experiment Videos

Reference intervals (normal ranges): a challenge to laboratorians

K O Ash

    The American Journal of Medical Technology
    |July 1, 1980
    PubMed
    Summary
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    Laboratory data interpretation requires comparing patient results with reference information. Future improvements aim for personalized reference intervals, including patient-specific factors and disease states.

    Area of Science:

    • Clinical Laboratory Science
    • Medical Diagnostics

    Background:

    • Laboratory data interpretation relies on comparing patient results to reference information.
    • Current reference intervals, often called 'normal ranges,' are derived from healthy subjects and can be confusing.
    • Existing reference information sources include literature, prior patient results, and in-house laboratory studies.

    Purpose of the Study:

    • To review current practices in generating and using laboratory reference data.
    • To recommend immediate and future improvements for laboratory reference intervals.
    • To explore the potential for developing an interlaboratory reference database.

    Main Methods:

    • Review of current practices in laboratory data interpretation and reference interval generation.
    • Analysis of methods for establishing accuracy and precision in laboratory testing.

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  • Discussion of future technological advancements, including computer communications.

    • Main Results:

    • Current methods for establishing reference intervals have limitations and can be confusing.
    • Immediate improvements are necessary for accurate laboratory data interpretation.
    • Future improvements include developing an interlaboratory reference database and personalized reference intervals.

    Conclusions:

    • Establishing accurate and precise laboratory reference data is crucial for effective patient care.
    • Future advancements in technology can enable personalized reference intervals tailored to individual patient characteristics.
    • The development of an interlaboratory reference database will enhance the utility of laboratory data for diagnosing and monitoring diseases.