Literature DB >> 16353918

Population pharmacokinetics/pharmacodynamics of anesthetics.

Erik Olofsen1, Albert Dahan.   

Abstract

In this article we review how population pharmacokinetic/pharmacodynamic (PD) modeling has evolved in the specialty of anesthesiology, how anesthesiology benefited from the mixed-effects approach, and which features of modeling need careful attention. Key articles from the anesthesiology literature are selected to discuss the modeling of typical anesthesiological PD end points, such as level of consciousness and analgesia, interactions between hypnotics and analgesics, estimation with poor and sometimes rich data sets from populations of various sizes, covariate detection, covariances between random effects, and Bayesian forecasting.

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Year:  2005        PMID: 16353918      PMCID: PMC2750976          DOI: 10.1208/aapsj070239

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  59 in total

1.  Efficient trial design for eliciting a pharmacokinetic-pharmacodynamic model-based response surface describing the interaction between two intravenous anesthetic drugs.

Authors:  Timothy G Short; Tam Yuk Ho; Charles F Minto; Thomas W Schnider; Steven L Shafer
Journal:  Anesthesiology       Date:  2002-02       Impact factor: 7.892

2.  Some statistical issues in modelling pharmacokinetic data.

Authors:  J K Lindsey; B Jones; P Jarvis
Journal:  Stat Med       Date:  2001 Sep 15-30       Impact factor: 2.373

Review 3.  Drug handling by the lungs.

Authors:  F Boer
Journal:  Br J Anaesth       Date:  2003-07       Impact factor: 9.166

4.  Population pharmacokinetic and pharmacodynamic modeling of propofol for long-term sedation in critically ill patients: a comparison between propofol 6% and propofol 1%.

Authors:  Catherijne A J Knibbe; Klaas P Zuideveld; Joost DeJongh; Paul F M Kuks; Leon P H J Aarts; Meindert Danhof
Journal:  Clin Pharmacol Ther       Date:  2002-12       Impact factor: 6.875

Review 5.  A pragmatic approach to the design of population pharmacokinetic studies.

Authors:  Amit Roy; Ene I Ette
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

6.  Modeling of the sedative and airway obstruction effects of propofol in patients with Parkinson disease undergoing stereotactic surgery.

Authors:  Neus Fábregas; Javier Rapado; Pedro L Gambús; Ricard Valero; Enrique Carrero; Lydia Salvador; Miguel A Nalda-Felipe; Iñaki F Trocóniz
Journal:  Anesthesiology       Date:  2002-12       Impact factor: 7.892

7.  The influence of remifentanil on the dynamic relationship between sevoflurane and surrogate anesthetic effect measures derived from the EEG.

Authors:  Erik Olofsen; James W Sleigh; Albert Dahan
Journal:  Anesthesiology       Date:  2002-03       Impact factor: 7.892

8.  A model of the ventilatory depressant potency of remifentanil in the non-steady state.

Authors:  Thomas Bouillon; Joergen Bruhn; Lucian Radu-Radulescu; Corina Andresen; Carol Cohane; Steven L Shafer
Journal:  Anesthesiology       Date:  2003-10       Impact factor: 7.892

9.  Pharmacodynamic effect of morphine-6-glucuronide versus morphine on hypoxic and hypercapnic breathing in healthy volunteers.

Authors:  Raymonda Romberg; Erik Olofsen; Elise Sarton; Luc Teppema; Albert Dahan
Journal:  Anesthesiology       Date:  2003-10       Impact factor: 7.892

10.  Response surface modeling of remifentanil-propofol interaction on cardiorespiratory control and bispectral index.

Authors:  Diederik J F Nieuwenhuijs; Erik Olofsen; Raymonda R Romberg; Elise Sarton; Denham Ward; Frank Engbers; Jaap Vuyk; Rene Mooren; Luc J Teppema; Albert Dahan
Journal:  Anesthesiology       Date:  2003-02       Impact factor: 7.892

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  6 in total

Review 1.  Pharmacokinetic-pharmacodynamic modelling in anaesthesia.

Authors:  Pedro L Gambús; Iñaki F Trocóniz
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

2.  Circulatory model of vascular and interstitial distribution kinetics of rocuronium: a population analysis in patients.

Authors:  Michael Weiss; Marije Reekers; Jaap Vuyk; Fred Boer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-12-03       Impact factor: 2.745

3.  Using remifentanil in mechanically ventilated rats to provide continuous analgosedation.

Authors:  Nada M Ismaiel; Raymond Chankalal; Juan Zhou; Dietrich Henzler
Journal:  J Am Assoc Lab Anim Sci       Date:  2012-01       Impact factor: 1.232

4.  A tool predicting future mean arterial blood pressure values improves the titration of vasoactive drugs.

Authors:  Matthias Görges; Dwayne R Westenskow; Kai Kück; Joseph A Orr
Journal:  J Clin Monit Comput       Date:  2010-06-18       Impact factor: 2.502

5.  The determinants of propofol induction time in anesthesia.

Authors:  Yushi U Adachi; Maiko Satomoto; Hideyuki Higuchi; Kazuhiko Watanabe
Journal:  Korean J Anesthesiol       Date:  2013-08-27

6.  Prediction Accuracy in Multivariate Repeated-Measures Bayesian Forecasting Models with Examples Drawn from Research on Sleep and Circadian Rhythms.

Authors:  Clark Kogan; Leonid Kalachev; Hans P A Van Dongen
Journal:  Comput Math Methods Med       Date:  2016-01-14       Impact factor: 2.238

  6 in total

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