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Related Experiment Videos

Multivariate estimation of reference ranges.

B M Horvath

    American Journal of Clinical Pathology
    |April 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for determining laboratory test reference ranges using routine patient data. This approach ensures accurate and reliable reference ranges for clinical laboratory tests.

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    Area of Science:

    • Clinical Chemistry
    • Laboratory Medicine
    • Biostatistics

    Background:

    • Establishing accurate reference ranges for laboratory tests is crucial for patient diagnosis and monitoring.
    • Traditional methods for determining reference ranges can be resource-intensive and may not reflect current patient populations.
    • Routine laboratory data from hospital patients offer a potentially rich source for deriving reference ranges.

    Purpose of the Study:

    • To develop and validate a new computational method for estimating reference ranges for 21 common laboratory tests.
    • To utilize routine hospital patient data for efficient and accurate reference range determination.
    • To provide a method suitable for frequent monitoring of laboratory reference ranges.

    Main Methods:

    • A novel statistical approach was employed using routine laboratory results from selected hospital patients.

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  • Patient records were selected based on criteria ensuring a high proportion of normal results (short hospital stay, limited lab data).
  • Iterative data exclusion based on 'pooled variation' progressively refined the dataset for robust reference range calculation.

    • Main Results:

    • The method successfully generated serviceable reference ranges for 21 frequently performed laboratory tests.
    • Validation through statistical properties, comparison with healthy subject ranges, and clinical chart review supported the method's accuracy.
    • The iterative exclusion process effectively identified and utilized the most consistent data for range calculation.

    Conclusions:

    • The developed method provides a reliable and efficient means of estimating laboratory test reference ranges.
    • This computational approach is suitable for routine use in clinical laboratories for ongoing reference range monitoring.
    • The method leverages existing hospital data, offering a cost-effective alternative for reference range establishment.