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Phenytoin cumulation profiles.

G J Yuen, R D Bell, T M Ludden

    Research Communications in Chemical Pathology and Pharmacology
    |December 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

    This study explored phenytoin cumulation profiles during multiple oral doses. Phenytoin steady-state concentrations showed low variability, suggesting predictable dosing for this antiepileptic drug.

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    Area of Science:

    • Pharmacokinetics
    • Clinical Pharmacology
    • Drug Metabolism

    Background:

    • Understanding drug accumulation is crucial for optimizing therapeutic efficacy and minimizing toxicity.
    • Phenytoin exhibits non-linear pharmacokinetics, necessitating careful dose individualization.

    Purpose of the Study:

    • To evaluate the utility of phenytoin cumulation profiles in predicting steady-state concentrations.
    • To assess the inter-individual variability of apparent steady-state serum phenytoin concentrations under controlled conditions.

    Main Methods:

    • Multiple oral doses of phenytoin sodium (5-6 mg/kg/d) were administered to six male subjects every 12 hours for six days.
    • Serum phenytoin concentrations were measured using gas-liquid chromatography, with data analyzed for kinetic parameter estimation.

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  • Non-linear regression analysis was employed to obtain individual pharmacokinetic parameters, including Km values.

    • Main Results:

    • The study observed modest auto-induction of phenytoin metabolism in two subjects.
    • At steady-state, the average coefficient of variation for predose serum phenytoin concentrations was 10.6%, indicating low variability.
    • Estimates of kinetic parameters, particularly Km, were influenced by the order of the input function (first- or zero-order).

    Conclusions:

    • Phenytoin cumulation profiles can be useful in predicting drug accumulation during multiple dosing regimens.
    • Apparent steady-state concentrations of phenytoin demonstrate low inter-individual variability, supporting the potential for predictable oral dosing.
    • Accurate pharmacokinetic parameter estimation, especially Km, is dependent on the appropriate selection of kinetic models.