Literature DB >> 9408859

Pharmacokinetic-based minibolus delivery as an alternative to continuous infusion for drugs that exhibit a biophase lag.

S E Kern1, D R Westenskow.   

Abstract

The presence of a biophase compartment in a pharmacokinetic model indicates that the response to an administered dose of drug is damped such that the time to peak effect occurs after the peak concentration in the bloodstream. This phenomenon, which is common to most intravenous anesthetic agents, can be exploited by a drug delivery method that administers minibolus doses of drug rather than a continuous infusion. Through analysis of the frequency response behavior of the biophase compartment, a bolus magnitude and dose frequency or interval (1/frequency) can be chosen such that the oscillation in drug effect is minimized even though the plasma concentration may be changing significantly with each supplemental dose. A pharmacokinetic and pharmacodynamic based method for calculating the bolus dose size and dosing interval is presented. The trade-off between dose interval and change in drug effect is exemplified through computer simulation of this strategy applied to delivery of the neuromuscular blocking agent pancuronium. The method provides a repetitive perturbation to the pharmacokinetic and pharmacodynamic system that can aid in model parameter identification during closed loop applications.

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Year:  1997        PMID: 9408859     DOI: 10.1023/a:1025732129798

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


  9 in total

1.  Algorithms to rapidly achieve and maintain stable drug concentrations at the site of drug effect with a computer-controlled infusion pump.

Authors:  S L Shafer; K M Gregg
Journal:  J Pharmacokinet Biopharm       Date:  1992-04

2.  A simple analytical solution to the three-compartment pharmacokinetic model suitable for computer-controlled infusion pumps.

Authors:  J M Bailey; S L Shafer
Journal:  IEEE Trans Biomed Eng       Date:  1991-06       Impact factor: 4.538

3.  The neuromuscular blocking action of pancuronium in man during anaesthesia.

Authors:  J Norman; R L Katz; R F Seed
Journal:  Br J Anaesth       Date:  1970-08       Impact factor: 9.166

4.  Commentary. Drug distribution and pharmacologic effects.

Authors:  M Gibaldi; G Levy; H Weintraub
Journal:  Clin Pharmacol Ther       Date:  1971 Sep-Oct       Impact factor: 6.875

5.  Total intravenous anaesthesia with propofol and alfentanil by computer-assisted infusion.

Authors:  J Schüttler; S Kloos; H Schwilden; H Stoeckel
Journal:  Anaesthesia       Date:  1988-03       Impact factor: 6.955

6.  The prospective use of population pharmacokinetics in a computer-driven infusion system for alfentanil.

Authors:  D B Raemer; A Buschman; J R Varvel; B K Philip; M D Johnson; D A Stein; S L Shafer
Journal:  Anesthesiology       Date:  1990-07       Impact factor: 7.892

7.  Simultaneous modeling of pharmacokinetics and pharmacodynamics: application to d-tubocurarine.

Authors:  L B Sheiner; D R Stanski; S Vozeh; R D Miller; J Ham
Journal:  Clin Pharmacol Ther       Date:  1979-03       Impact factor: 6.875

8.  Pancuronium and vecuronium pharmacokinetics and pharmacodynamics in younger and elderly adults.

Authors:  S M Rupp; K P Castagnoli; D M Fisher; R D Miller
Journal:  Anesthesiology       Date:  1987-07       Impact factor: 7.892

9.  Comparison of twitch depression of the adductor pollicis and the respiratory muscles. Pharmacodynamic modeling without plasma concentrations.

Authors:  P Bragg; D M Fisher; J Shi; F Donati; C Meistelman; M Lau; L B Sheiner
Journal:  Anesthesiology       Date:  1994-02       Impact factor: 7.892

  9 in total
  2 in total

1.  Nonlinear model-based predictive control of non-depolarizing muscle relaxants using neural networks.

Authors:  M Lendl; U H Schwarz; H J Romeiser; R Unbehauen; M Georgieff; G F Geldner
Journal:  J Clin Monit Comput       Date:  1999-07       Impact factor: 2.502

2.  Using Chemical Reaction Kinetics to Predict Optimal Antibiotic Treatment Strategies.

Authors:  Pia Abel Zur Wiesch; Fabrizio Clarelli; Ted Cohen
Journal:  PLoS Comput Biol       Date:  2017-01-06       Impact factor: 4.475

  2 in total

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