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Quantification of analyte and interferent by multipoint analysis.

R L Czervionke, G F Johnson, N F Nuwayhid

    Clinical Chemistry
    |September 1, 1986
    PubMed
    Summary
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    Multipoint kinetic curve-fitting methods accurately quantify creatinine and acetoacetate, even with interference. A two-stage linear regression approach proved effective for analyzing clinical samples, demonstrating its utility in diagnostics.

    Area of Science:

    • Analytical Chemistry
    • Clinical Chemistry

    Background:

    • Accurate analyte determination is crucial in clinical diagnostics.
    • Interference from coexisting substances can compromise assay accuracy.
    • The kinetic Jaffé method for creatinine is susceptible to interference from acetoacetate.

    Purpose of the Study:

    • To investigate multipoint kinetic curve-fitting methods for quantifying creatinine in the presence of acetoacetate interference.
    • To evaluate different multipoint approaches, including simultaneous equations, multivariable linear regression, and iterative multivariable nonlinear regression.
    • To assess the clinical applicability of a two-stage linear regression model for simultaneous analyte and interferent quantification.

    Main Methods:

    • Application of multipoint kinetic curve-fitting techniques.

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  • Utilized simultaneous equations, multivariable linear regression, and iterative multivariable nonlinear regression.
  • Developed and applied a two-stage linear regression approach for interference detection and quantification.

    • Main Results:

    • All evaluated multipoint methods could detect acetoacetate interference and quantify both creatinine and acetoacetate.
    • The two-stage linear regression approach demonstrated versatility and computational simplicity.
    • Results from ketotic patients showed excellent correlation with enzymatic methods for both creatinine (r = 0.976) and acetoacetate (r = 0.995).
    • Successful quantification of creatinine in the presence of the antibiotic cefoxitin was demonstrated.

    Conclusions:

    • Multipoint kinetic curve-fitting methods, particularly the two-stage linear regression, are effective for quantifying analytes in the presence of single interferents.
    • This approach offers a reliable solution for accurate creatinine and acetoacetate determination in clinical samples.
    • The method shows promise for improving diagnostic accuracy in situations with known interfering substances.