Literature DB >> 2360742

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

D B Raemer1, A Buschman, J R Varvel, B K Philip, M D Johnson, D A Stein, S L Shafer.   

Abstract

Maitre et al. recently evaluated the accuracy of a set of previously determined population pharmacokinetic parameters for the opioid alfentanil using data from an earlier study in which the drug had been administered using a computer-controlled infusion pump (CCIP). The present study evaluated the accuracy of these same parameters in a CCIP prospectively in two groups of clinically dissimilar patients: 29 healthy female day surgery patients and 11 relatively older and less healthy male inpatients. In addition, another set of pharmacokinetic parameters, previously determined by Scott et al. in the CCIP in 11 male inpatients was also evaluated. The bias and inaccuracy were assessed by the median performance error (MDPE) and the median absolute performance error (MDAPE) in which the performance error was determined as the difference between measured and target serum concentration as a fraction of the target serum concentration. Unlike Maitre et al., the current study found a consistent bias in both populations. The MDPE was +53% and the MDAPE was 53%, with no difference between patient groups. In the 11 patients studied using the Scott et al. pharmacokinetic parameters, the MDPE was +1% and the MDAPE was 17%. The parameters of Scott et al. were further tested by simulating the serum concentrations that would have been achieved had they been used in the CCIP in the first 40 patients; results indicated MDPE of +2% and an MDAPE of 18%. Therefore, reasonably reliable and accurate target serum concentrations of alfentanil can be achieved using the pharmacokinetic parameters of Scott et al. in a CCIP.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1990        PMID: 2360742     DOI: 10.1097/00000542-199007000-00011

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  10 in total

Review 1.  Target-controlled infusion systems: role in anaesthesia and analgesia.

Authors:  M C van den Nieuwenhuyzen; F H Engbers; J Vuyk; A G Burm
Journal:  Clin Pharmacokinet       Date:  2000-02       Impact factor: 6.447

2.  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

3.  Measuring the predictive performance of computer-controlled infusion pumps.

Authors:  J R Varvel; D L Donoho; S L Shafer
Journal:  J Pharmacokinet Biopharm       Date:  1992-02

Review 4.  Modeling the dynamical effects of anesthesia on brain circuits.

Authors:  Shinung Ching; Emery N Brown
Journal:  Curr Opin Neurobiol       Date:  2014-01-21       Impact factor: 6.627

5.  Determination of the distribution volume that can be used to calculate the intravenous loading dose.

Authors:  D R Wada; D R Drover; H J Lemmens
Journal:  Clin Pharmacokinet       Date:  1998-07       Impact factor: 6.447

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

Authors:  S E Kern; D R Westenskow
Journal:  J Pharmacokinet Biopharm       Date:  1997-04

7.  Patient maintained alfentanil target-controlled infusion for analgesia during extracorporeal shock wave lithotripsy.

Authors:  M G Irwin; R C Campbell; T S Lun; J C Yang
Journal:  Can J Anaesth       Date:  1996-09       Impact factor: 5.063

8.  Pain model and fuzzy logic patient-controlled analgesia in shock-wave lithotripsy.

Authors:  J S Shieh; L W Chang; M S Wang; W Z Sun; Y P Wang; Y P Yang
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

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 integrated multiple-analyte pharmacokinetic model to characterize trastuzumab emtansine (T-DM1) clearance pathways and to evaluate reduced pharmacokinetic sampling in patients with HER2-positive metastatic breast cancer.

Authors:  Dan Lu; Amita Joshi; Bei Wang; Steve Olsen; Joo-Hee Yi; Ian E Krop; Howard A Burris; Sandhya Girish
Journal:  Clin Pharmacokinet       Date:  2013-08       Impact factor: 6.447

  10 in total

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