Literature DB >> 22316280

Allometric or lean body mass scaling of propofol pharmacokinetics: towards simplifying parameter sets for target-controlled infusions.

Johan Francois Coetzee1.   

Abstract

Uncertainty exists as to the most suitable pharmacokinetic parameter sets for propofol target-controlled infusions (TCI). The pharmacokinetic parameter sets currently employed are clearly not universally applicable, particularly when patient attributes differ from those of the subjects who participated in the original research from which the models were derived. Increasing evidence indicates that the pharmacokinetic parameters of propofol can be scaled allometrically as well as in direct proportion to lean body mass (LBM). Appraisal of hitherto published studies suggests that an allometrically scaled pharmacokinetic parameter set may be applicable to a wide range of patients ranging from children to obese adults. On the other hand, there is evidence that propofol pharmacokinetic parameters, scaled linearly to LBM, provide improved dosing in normal and obese adults. The 'Schnider' pharmacokinetic parameter set that has been programmed into commercially available TCI pumps cannot be employed at present for morbidly obese patients (body mass index >40 kg/m2), because of anomalous behaviour of the equation used to calculate LBM, resulting in administration of excessive amounts of propofol. Simulations of TCI using improved equations to calculate LBM indicate that the Schnider model delivers similar amounts of propofol to morbidly obese patients as do the allometrically scaled pharmacokinetic parameter sets. These hypotheses deserve further investigation. To facilitate further investigation, researchers are encouraged to make their data freely available to the WorldSIVA Open TCI Initiative (http://opentci.org).

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Year:  2012        PMID: 22316280     DOI: 10.2165/11596980-000000000-00000

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  48 in total

1.  A comparison of parametric and non-parametric approaches to target-controlled infusion of propofol.

Authors:  D P Crankshaw; M J Brown; A R Bjorksten
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2.  No adjustment vs. adjustment formula as input weight for propofol target-controlled infusion in morbidly obese patients.

Authors:  Luca La Colla; Andrea Albertin; Giorgio La Colla; Valerio Ceriani; Tiziana Lodi; Andrea Porta; Giorgio Aldegheri; Alberto Mangano; Ilias Khairallah; Isabella Fermo
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Review 3.  Contributions of PK/PD modeling to intravenous anesthesia.

Authors:  C F Minto; T W Schnider
Journal:  Clin Pharmacol Ther       Date:  2008-05-07       Impact factor: 6.875

4.  The performance of compartmental and physiologically based recirculatory pharmacokinetic models for propofol: a comparison using bolus, continuous, and target-controlled infusion data.

Authors:  Kenichi Masui; Richard N Upton; Anthony G Doufas; Johan F Coetzee; Tomiei Kazama; Eric P Mortier; Michel M R F Struys
Journal:  Anesth Analg       Date:  2009-10-27       Impact factor: 5.108

5.  Theoretical versus empirical allometry: Facts behind theories and application to pharmacokinetics.

Authors:  Iftekhar Mahmood
Journal:  J Pharm Sci       Date:  2010-07       Impact factor: 3.534

6.  Pharmacokinetic model selection for target controlled infusions of propofol. Assessment of three parameter sets.

Authors:  J F Coetzee; J B Glen; C A Wium; L Boshoff
Journal:  Anesthesiology       Date:  1995-06       Impact factor: 7.892

7.  Pharmacokinetics as applied to total intravenous anaesthesia. Theoretical considerations.

Authors:  H Schwilden; J Schüttler; H Stoekel
Journal:  Anaesthesia       Date:  1983-07       Impact factor: 6.955

8.  Population pharmacokinetics of propofol: a multicenter study.

Authors:  J Schüttler; H Ihmsen
Journal:  Anesthesiology       Date:  2000-03       Impact factor: 7.892

9.  The pharmacokinetics of propofol in children using three different data analysis approaches.

Authors:  B K Kataria; S A Ved; H F Nicodemus; G R Hoy; D Lea; M Y Dubois; J W Mandema; S L Shafer
Journal:  Anesthesiology       Date:  1994-01       Impact factor: 7.892

10.  Clinical adaptation of a pharmacokinetic model of Propofol plasma concentrations in children.

Authors:  Thomas Engelhardt; Alan J McCheyne; Neil Morton; Cengiz Karsli; Igor Luginbuehl; Khosrow Adeli; Warren Walsh; Bruno Bissonnette
Journal:  Paediatr Anaesth       Date:  2008-01-07       Impact factor: 2.556

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Journal:  Clin Pharmacokinet       Date:  2014-04       Impact factor: 6.447

3.  Influence of body fatness on propofol requirements for loss of consciousness in target-controlled infusion: A STROBE-compliant study.

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Journal:  Medicine (Baltimore)       Date:  2022-09-02       Impact factor: 1.817

4.  Lean body mass: the development and validation of prediction equations in healthy adults.

Authors:  Solomon Yu; Thavarajah Visvanathan; John Field; Leigh C Ward; Ian Chapman; Robert Adams; Gary Wittert; Renuka Visvanathan
Journal:  BMC Pharmacol Toxicol       Date:  2013-10-14       Impact factor: 2.483

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