Literature DB >> 1629794

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

S L Shafer1, K M Gregg.   

Abstract

Computer-controlled infusion pumps incorporating an internal model of drug pharmacokinetics can rapidly achieve and maintain constant drug concentrations in the plasma. Although these pumps offer more accurate titration of intravenous drugs than is possible with simple boluses or constant rate infusions, the choice of the plasma as the target site is arbitrary. The plasma is not the site of drug effect for most drugs. This manuscript describes two algorithms for calculation of the infusion rates necessary for a computer-controlled infusion pump to rapidly achieve, and then maintain, the desired target concentration at the site of drug effect rather than in the plasma.

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Year:  1992        PMID: 1629794     DOI: 10.1007/bf01070999

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


  17 in total

1.  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

2.  Analytical solution to the three-compartment pharmacokinetic model.

Authors:  J R Jacobs
Journal:  IEEE Trans Biomed Eng       Date:  1988-09       Impact factor: 4.538

3.  Optimal pharmacokinetic delivery of infused drugs: application to the treatment of cardiac arrhythmias.

Authors:  P Martin; A A Ahuja
Journal:  J Biomed Eng       Date:  1988-07

4.  Evaluating the accuracy of using population pharmacokinetic data to predict plasma concentrations of alfentanil.

Authors:  P O Maitre; M E Ausems; S Vozeh; D R Stanski
Journal:  Anesthesiology       Date:  1988-01       Impact factor: 7.892

5.  Pharmacokinetics of fentanyl administered by computer-controlled infusion pump.

Authors:  S L Shafer; J R Varvel; N Aziz; J C Scott
Journal:  Anesthesiology       Date:  1990-12       Impact factor: 7.892

6.  Pharmacokinetic model-driven infusion of fentanyl: assessment of accuracy.

Authors:  P S Glass; J R Jacobs; L R Smith; B Ginsberg; T J Quill; S A Bai; J G Reves
Journal:  Anesthesiology       Date:  1990-12       Impact factor: 7.892

7.  Decreased fentanyl and alfentanil dose requirements with age. A simultaneous pharmacokinetic and pharmacodynamic evaluation.

Authors:  J C Scott; D R Stanski
Journal:  J Pharmacol Exp Ther       Date:  1987-01       Impact factor: 4.030

8.  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

9.  Plasma concentration clamping in the rat using a computer-controlled infusion pump.

Authors:  L L Gustafsson; W F Ebling; E Osaki; S Harapat; D R Stanski; S L Shafer
Journal:  Pharm Res       Date:  1992-06       Impact factor: 4.200

10.  An evaluation of the accuracy of pharmacokinetic data for the computer assisted infusion of alfentanil.

Authors:  M E Ausems; D R Stanski; C C Hug
Journal:  Br J Anaesth       Date:  1985-12       Impact factor: 9.166

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  42 in total

1.  Chemical substance kinetics in the case of chronobiological variations of elimination rate.

Authors:  G Merabet-Atmani; S Aliguechi-Bouhadja; A Redouane; T Filali; K Mansour
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1999 Oct-Dec       Impact factor: 2.441

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Authors:  F R Cantraine; E J Coussaert
Journal:  J Clin Monit Comput       Date:  2000-01       Impact factor: 2.502

Review 3.  [Modern concepts in pharmacokinetics of intravenous anesthetics].

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Journal:  Anaesthesist       Date:  2004-01       Impact factor: 1.041

4.  Application of pharmacodynamic modeling for designing time-variant dosing regimens to overcome nitroglycerin tolerance in experimental heart failure.

Authors:  J A Bauer; J P Balthasar; H L Fung
Journal:  Pharm Res       Date:  1997-09       Impact factor: 4.200

5.  Induction speed is not a determinant of propofol pharmacodynamics.

Authors:  Anthony G Doufas; Maryam Bakhshandeh; Andrew R Bjorksten; Steven L Shafer; Daniel I Sessler
Journal:  Anesthesiology       Date:  2004-11       Impact factor: 7.892

Review 6.  Pharmacokinetic-pharmacodynamic modelling: history and perspectives.

Authors:  Chantal Csajka; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-01-11       Impact factor: 2.745

7.  General anaesthetic action: ubiquity, complexity and relevance for neuroscience.

Authors:  G Plourde
Journal:  J Physiol       Date:  2007-03-01       Impact factor: 5.182

Review 8.  Pharmacokinetic optimisation of opioid treatment in acute pain therapy.

Authors:  R N Upton; T J Semple; P E Macintyre
Journal:  Clin Pharmacokinet       Date:  1997-09       Impact factor: 6.447

9.  Thalamocortical mechanisms for the anteriorization of α rhythms during propofol-induced unconsciousness.

Authors:  Sujith Vijayan; Shinung Ching; Patrick L Purdon; Emery N Brown; Nancy J Kopell
Journal:  J Neurosci       Date:  2013-07-03       Impact factor: 6.167

10.  Effect of hepatic function on the EC50 of midazolam and the BIS50 at the time of loss of consciousness.

Authors:  Yu-hong Li; Rui He; Jin-guang Ruan
Journal:  J Zhejiang Univ Sci B       Date:  2014-08       Impact factor: 3.066

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