Literature DB >> 1875286

Designs for population pharmacodynamics: value of pharmacokinetic data and population analysis.

Y Hashimoto1, L B Sheiner.   

Abstract

Analyses of simulated data from pharmacokinetic/pharmacodynamic (PK/PD) studies varying with respect to the amount and timing of observations were undertaken to assess the value of these design choices. The simulation models assume mono- or biexponential drug disposition, and Emax-type pharmacodynamics. Data analysis uses a combined PK/PD population analysis or a hybrid, individual-PK/population-PD analysis. Assuming that the goal of the PK/PD studies is to estimate population PD, performance of designs is judged by comparing the precision of estimates of population mean PD parameters and of their interindividual variability. The simulations reveal that (i) PK data, even in small number (2 points per person from as few as 25-50% of persons) are very valuable for estimating population PD; (ii) designs involving more individuals, even if many are sparsely sampled, dominate designs calling for more complete study of fewer persons; (iii) the population analysis is generally superior to the hybrid analysis, especially when the PK model is misspecified (biexponential assumed to be monoexponential for analysis); (iv) varying sampling times and doses among subjects protects against the ill effects of model misspecification. In general, the results are quite encouraging about the usefulness of sparse data designs to estimate population dose response.

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Year:  1991        PMID: 1875286     DOI: 10.1007/bf03036255

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


  6 in total

1.  Experimental design and efficient parameter estimation in population pharmacokinetics.

Authors:  M K al-Banna; A W Kelman; B Whiting
Journal:  J Pharmacokinet Biopharm       Date:  1990-08

2.  The clinical investigation of drugs for use by the elderly: Food and Drug guidelines.

Authors:  R Temple
Journal:  Clin Pharmacol Ther       Date:  1987-12       Impact factor: 6.875

3.  Premarketing observational studies of population pharmacokinetics of new drugs.

Authors:  L B Sheiner; L Z Benet
Journal:  Clin Pharmacol Ther       Date:  1985-11       Impact factor: 6.875

4.  Simultaneous modeling of pharmacokinetics and pharmacodynamics: an improved algorithm.

Authors:  D Verotta; L B Sheiner
Journal:  Comput Appl Biosci       Date:  1987-11

5.  Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: routine clinical pharmacokinetic data.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1983-06

6.  Population pharmacokinetic data and parameter estimation based on their first two statistical moments.

Authors:  S L Beal
Journal:  Drug Metab Rev       Date:  1984       Impact factor: 4.518

  6 in total
  30 in total

1.  Robust optimal design for the estimation of hyperparameters in population pharmacokinetics.

Authors:  M Tod; F Mentré; Y Merlé; A Mallet
Journal:  J Pharmacokinet Biopharm       Date:  1998-12

2.  Drug-drug pharmacodynamic interaction detection by a nonparametric population approach. Influence of design and of interindividual variability.

Authors:  Y Merlé; A Mallet; E Schmautz
Journal:  J Pharmacokinet Biopharm       Date:  1999-10

3.  Impact of pharmacokinetic-pharmacodynamic model linearization on the accuracy of population information matrix and optimal design.

Authors:  Y Merlé; M Tod
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-08       Impact factor: 2.745

Review 4.  Concentration-controlled or effect-controlled trials: useful alternatives to conventional dose-controlled trials?

Authors:  A Grahnén; M O Karlsson
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

5.  Designing population pharmacokinetic studies: performance of mixed designs.

Authors:  E O Fadiran; C D Jones; E I Ette
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2000 Jul-Dec       Impact factor: 2.441

6.  Optimal design of a population pharmacodynamic experiment for ivabradine.

Authors:  S B Duffull; F Mentré; L Aarons
Journal:  Pharm Res       Date:  2001-01       Impact factor: 4.200

7.  Population pharmacokinetic and dynamic analysis of the topoisomerase I inhibitor lurtotecan in phase II studies.

Authors:  J H M Schellens; B Heinrich; M Lehnert; M E Gore; S B Kaye; P Dombernowsky; R Paridaens; A T van Oosterom; J Verweij; W J Loos; H Calvert; N Pavlidis; H Cortes-Funes; J Wanders; M Roelvink; C Sessa; K Selinger; P S Wissel; T Gamucci; A R Hanauske
Journal:  Invest New Drugs       Date:  2002-02       Impact factor: 3.850

8.  Modeling of pharmacokinetic/pharmacodynamic (PK/PD) relationships: concepts and perspectives.

Authors:  H Derendorf; B Meibohm
Journal:  Pharm Res       Date:  1999-02       Impact factor: 4.200

9.  Comparison of stepwise and simultaneous estimations of population pharmacokinetics and pharmacodynamics of TS-943.

Authors:  A Furuya; N Kato; S Jingu; M Akimoto; O Kasai; T Suwa; M Sato; H Ogata
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2003 Jul-Sep       Impact factor: 2.441

10.  A computationally efficient approach for the design of population pharmacokinetic studies.

Authors:  J Wang; L Endrenyi
Journal:  J Pharmacokinet Biopharm       Date:  1992-06
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