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Deciding the optimum interval between specimen collections: theory and nomograms.

C G Fraser, M C Browning

    Clinical Chemistry
    |August 1, 1987
    PubMed
    Summary

    Determining the minimum time between patient specimen collections for declining analytes can be calculated. This calculation uses the analyte's elimination half-life and analytical precision, improving clinical monitoring.

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    Area of Science:

    • Clinical Chemistry
    • Pharmacokinetics
    • Analytical Toxicology

    Background:

    • Specimen collection intervals are often empirically determined.
    • First-order kinetics govern the decline of certain analytes, such as enzyme activities, tumor markers, and drug levels.

    Purpose of the Study:

    • To establish a method for calculating the minimum time interval between serial specimen collections.
    • To provide a basis for optimizing monitoring of analytes with declining concentrations.

    Main Methods:

    • Derived an equation relating minimum collection time (delta T) to elimination half-life (t) and coefficient of variation (CVA).
    • The equation is: delta T = (1/log2) X t X log (2.33 CVA/100 + 1).
    • Developed nomograms to graphically represent this relationship.

    Main Results:

    • The minimum time interval (delta T) is mathematically dependent on elimination half-life and analytical precision.
    • The derived equation provides a quantitative approach to determining appropriate sampling times.
    • Graphical nomograms facilitate the practical application of these calculations.

    Conclusions:

    • Empirical determination of specimen collection intervals can be replaced by a calculated approach for specific analytes.
    • This method enhances the efficiency and accuracy of patient monitoring for declining analyte levels.
    • The findings support evidence-based guidelines for clinical laboratory practice and therapeutic drug monitoring.

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