Literature DB >> 9474531

New mathematical implementation of generalized pharmacodynamic models: method and clinical evaluation.

G Stagni1, A M Shepherd, Y Liu, W R Gillespie.   

Abstract

A new method and experimental design are presented to unambiguously estimate the transduction function (phi) and the conduction function (psi) of the generalized pharmacodynamic model: E = phi (psi * r), when measured pharmacokinetic response r is (i) drug plasma concentration and (ii) drug input rate into the systemic circulation. phi relates the observed pharmacologic effect E to the concentration at the effect site: ce = (psi * r), psi defines transfer of drug from plasma site to effect site or from input site to effect site, and * represents the convolution integral. The model functions psi and phi were expressed as cubic splines giving a very flexible description of those processes which is not biased by the structured assumptions of more conventional models, e.g., effect compartment models. The experimental design proposed addresses the problem of ambiguous identification of the model functions typical of these models; that is, there is more than one pair of very different functions describing the effect data collected after a single drug administration. We tested the hypothesis that the simultaneous fitting of at least two administrations allows the unambiguous identification of the model functions without the need for unlikely or cumbersome constraints. The performance of the mathematical implementation and the robustness of the methods with respect to measurement noise and possible failure of some assumptions, such as intraindividual variability, were tested by computer simulations. The method was then applied to the results of a clinical study of verapamil pharmacodynamics in 6 healthy subjects. Results of these studies demonstrated that the mathematical implementation does not introduce bias or artifact into the estimated functions and that the models and the proposed methods are suitable for application to clinical research. Two drug administrations were sufficient to unambiguously describe verapamil pharmacodynamics in the 6 human subjects studied.

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Year:  1997        PMID: 9474531     DOI: 10.1023/a:1025723725312

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


  23 in total

1.  Pharmacodynamic system analysis of the biophase level predictor and the transduction function.

Authors:  P Veng-Pedersen; N B Modi
Journal:  J Pharm Sci       Date:  1992-09       Impact factor: 3.534

2.  The heart rate-PR interval relationship: a model for evaluating drug actions on SA and AV nodal function.

Authors:  W R Danter; S G Carruthers
Journal:  Br J Clin Pharmacol       Date:  1990-09       Impact factor: 4.335

3.  A system approach to pharmacodynamics. I: Theoretical framework.

Authors:  P Veng-Pedersen; W R Gillespie
Journal:  J Pharm Sci       Date:  1988-01       Impact factor: 3.534

4.  A method for estimating within-individual variability in clearance and in volume of distribution from standard bioavailability studies.

Authors:  R A Upton; J F Thiercelin; J K Moore; S Riegelman
Journal:  J Pharmacokinet Biopharm       Date:  1982-04

5.  Intraindividual variability in theophylline pharmacokinetics: statistical verification in 39 of 60 healthy young adults.

Authors:  R A Upton; J F Thiercelin; T W Guentert; S M Wallace; J R Powell; L Sansom; S Riegelman
Journal:  J Pharmacokinet Biopharm       Date:  1982-04

6.  Comparison of intravenous and oral verapamil dosing.

Authors:  M J Reiter; D G Shand; E L Pritchett
Journal:  Clin Pharmacol Ther       Date:  1982-12       Impact factor: 6.875

7.  The pharmacology of verapamil. IV. Kinetic and dynamic effects after single intravenous and oral doses.

Authors:  R G McAllister; E B Kirsten
Journal:  Clin Pharmacol Ther       Date:  1982-04       Impact factor: 6.875

8.  Verapamil disposition and effect on PQ-intervals after buccal, oral and intravenous administration.

Authors:  O P Asthana; B G Woodcock; M Wenchel; K H Frömming; L Schwabe; N Rietbrock
Journal:  Arzneimittelforschung       Date:  1984

9.  Simultaneous analysis of verapamil and norverapamil enantiomers in human plasma by high-performance liquid chromatography.

Authors:  G Stagni; W R Gillespie
Journal:  J Chromatogr B Biomed Appl       Date:  1995-05-19

10.  Verapamil stereoisomers during racemic verapamil administration: effects of aging and comparisons to administration of individual stereoisomers.

Authors:  J B Schwartz; H Capili; I W Wainer
Journal:  Clin Pharmacol Ther       Date:  1994-10       Impact factor: 6.875

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  1 in total

1.  Bioavailability assessment from pharmacologic data: method and clinical evaluation.

Authors:  G Stagni; A M Shepherd; Y Liu; W R Gillespie
Journal:  J Pharmacokinet Biopharm       Date:  1997-06
  1 in total

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