Literature DB >> 529023

Steady-state plasma concentrations as a function of the absorption rate and dosing interval for drugs exhibiting concentration-dependent clearance: consequences for phenytoin therapy.

R J Sawchuk, T S Rector.   

Abstract

Model-dependent relationships describing the effects of absorption rate and dosing interval on steady-state phenytoin plasma concentrations are presented and discussed. Utilizing a range of operative Michaelis-Menten parameters that characterize phenytoin elimination via a single capacity-limited pathway, a situation assuming instantaneous absorption (case I) is compared with the situation in which continuous constant-rate absorption occurs (case II). The results of these comparisons demonstrate that average steady-state concentrations do not differ significantly between the two cases. Ratios (case I/case II) of areas under the curve during a steady-state dosing interval substantially deviating from unity are associated with high plasma clearances and clinically low phenytoin concentrations. When the same daily dose is maintained, but the dosing interval is altered (0.25, 0.33, 0.50, 1.0 day), little difference in the average steady-state levels is observed even when absorption is instantaneous. Differences between steady-state maximum and minimum concentrations increase with prolonged dosing intervals as well as faster absorbed phenytoin formulations, but for most patients these fluctuations are therapeutically insignificant. A dimensionless parameter, Q, which is a function of the individual patient's parameters and the dosing regimen, is introduced, and its relationship with steady-state phenytoin concentrations is discussed. Formulation-related differences in phenytoin dissolution rates that may result in significantly altered absorption rates should not affect average steady-state levels unless the extent of absorption is altered. More frequent dosing is not necessary to avoid increases in the average steady-state levels when rapidly absorbed phenytoin products are administered, but may be desirable if the required daily dose is high or the individual patient exhibits a narrow therapeutic range for this drug.

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Year:  1979        PMID: 529023     DOI: 10.1007/BF01061208

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  9 in total

1.  Nonlinear assessment of phenytoin bioavailability.

Authors:  W J Jusko; J R Koup; G Alván
Journal:  J Pharmacokinet Biopharm       Date:  1976-08

2.  The direct linear plot. A new graphical procedure for estimating enzyme kinetic parameters.

Authors:  R Eisenthal; A Cornish-Bowden
Journal:  Biochem J       Date:  1974-06       Impact factor: 3.857

3.  Relationship between dose and plateau levels of drugs eliminated by parallel first-order and capacity-limited kinetics.

Authors:  T Tsuchiya; G Levy
Journal:  J Pharm Sci       Date:  1972-04       Impact factor: 3.534

4.  New prescribing directions for phenytoin.

Authors: 
Journal:  FDA Drug Bull       Date:  1978 Aug-Sep

5.  Time to reach steady state and prediction of steady-state concentrations for drugs obeying Michaelis-Menten elimination kinetics.

Authors:  J G Wagner
Journal:  J Pharmacokinet Biopharm       Date:  1978-06

6.  Optimal phenytoin therapy: a new technique for individualizing dosage.

Authors:  P W Mullen
Journal:  Clin Pharmacol Ther       Date:  1978-02       Impact factor: 6.875

7.  Rate of phenytoin accumulation in man: a simulation study.

Authors:  T M Ludden; J P Allen; L W Schneider; S A Stavchansky
Journal:  J Pharmacokinet Biopharm       Date:  1978-10

8.  The clinical pharmacokinetics of phenytoin.

Authors:  E Martin; T N Tozer; L B Sheiner; S Riegelman
Journal:  J Pharmacokinet Biopharm       Date:  1977-12

9.  Phenytoin dose adjustment in epileptic patients.

Authors:  G E Mawer; P W Mullen; M Rodgers; A J Robins; S B Lucas
Journal:  Br J Clin Pharmacol       Date:  1974-04       Impact factor: 4.335

  9 in total
  5 in total

1.  Analytical approximations of sensitivities of steady state predictions to errors in parameter estimation: II. Michaelis-Menten kinetics.

Authors:  I Gonda
Journal:  J Pharmacokinet Biopharm       Date:  1984-10

2.  A nonlinear physiologic pharmacokinetic model: I. Steady-state.

Authors:  J G Wagner; G J Szpunar; J J Ferry
Journal:  J Pharmacokinet Biopharm       Date:  1985-02

3.  Computer-aided dosage form design. III. Feasibility assessment for an oral prolonged-release phenytoin product.

Authors:  J R Irvin; R E Notari
Journal:  Pharm Res       Date:  1991-02       Impact factor: 4.200

4.  Rapid and slow release phenytoin in epileptic patients at steady state: assessment of relative bioavailability utilizing Michaelis-Menten parameters.

Authors:  R J Sawchuk; S M Pepin; I E Leppik; R J Gumnit
Journal:  J Pharmacokinet Biopharm       Date:  1982-08

5.  Rapid and slow release phenytoin in epileptic patients at steady state: comparative plasma levels and toxicity.

Authors:  R J Sawchuk; S M Pepin; I E Leppik; R J Gumnit
Journal:  J Pharmacokinet Biopharm       Date:  1982-08
  5 in total

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