Literature DB >> 18193918

Use of target controlled infusion to derive age and gender covariates for propofol clearance.

Martin White1, Gavin N C Kenny, Stefan Schraag.   

Abstract

BACKGROUND AND
OBJECTIVE: Attempts to describe the variability of propofol pharmacokinetics in adults and to derive population covariates have been sparse and limited mainly to experiments based on bolus doses or infusions in healthy volunteers. This study aimed to identify age and gender covariates for propofol when given as an infusion in anaesthetized patients. STUDY DESIGN AND
SETTING: One hundred and thirteen patients (American Society of Anesthesiologists class I or II and aged 14-92 years) were anaesthetized for elective surgical procedures with propofol using a target controlled infusion (TCI) system and with alfentanil as a baseline analgesic infusion. Frequent venous blood samples were obtained for measurement of propofol plasma concentrations. PHARMACOKINETIC AND STATISTICAL ANALYSIS: Pharmacokinetic accuracy was determined by the percentage prediction error, bias and precision, as were wobble and divergence. The clearance of propofol from the central compartment was determined for each patient using the computerized record of the infusion profile delivered to each patient, together with relevant blood propofol concentration estimations. For each patient, the nonlinear mixed-effects modelling (NONMEM) objective function was employed to determine the goodness of fit.
RESULTS: The population distribution of propofol clearance was subsequently found to have a Gaussian distribution only in the log domain (mean value equivalent to 26.1 mL/kg/min). The distribution in the normal domain was consequently asymmetric, with a slight predominance of patients with high values of clearance (5% and 95% confidence limits 17.7 and 42.1 mL/kg/min, respectively). Using regression analysis, gender and age covariates were derived that optimized the performance of the target controlled infusion system. The clearance (CL) of propofol in male patients changed little with age (CL [mL/kg/min]=26.88-0.029xAge; r2=0.006) whereas that in female patients had a higher initial value but decreased progressively with age (CL [mL/kg/min]=37.87-0.198xAge; r2=0.246).
CONCLUSION: We achieved a relatively simple and practical covariate model in which the variability of pharmacokinetics within the study population could be ascribed principally to variability in clearance from the central compartment. Pharmacokinetic simulation predicted an improved performance of the TCI system when employing the derived covariates model, especially in elderly female patients.

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Year:  2008        PMID: 18193918     DOI: 10.2165/00003088-200847020-00005

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


  15 in total

1.  Pharmacokinetic model driven infusion of propofol in children.

Authors:  B Marsh; M White; N Morton; G N Kenny
Journal:  Br J Anaesth       Date:  1991-07       Impact factor: 9.166

2.  A portable computerised infusion system for propofol.

Authors:  G N Kenny; M White
Journal:  Anaesthesia       Date:  1990-08       Impact factor: 6.955

3.  Pharmacokinetics of S(+) ketamine derived from target controlled infusion.

Authors:  M White; P de Graaff; B Renshof; E van Kan; M Dzoljic
Journal:  Br J Anaesth       Date:  2006-01-16       Impact factor: 9.166

4.  Improved method for the determination of propofol in blood by high-performance liquid chromatography with fluorescence detection.

Authors:  G F Plummer
Journal:  J Chromatogr       Date:  1987-10-09

5.  Propofol alters the pharmacokinetics of alfentanil in healthy male volunteers.

Authors:  M J Mertens; J Vuyk; E Olofsen; J G Bovill; A G Burm
Journal:  Anesthesiology       Date:  2001-06       Impact factor: 7.892

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.  Gender differences in the pharmacokinetics of propofol in elderly patients during and after continuous infusion.

Authors:  J Vuyk; C J Oostwouder; A A Vletter; A G Burm; J G Bovill
Journal:  Br J Anaesth       Date:  2001-02       Impact factor: 9.166

8.  Comparison of plasma compartment versus two methods for effect compartment--controlled target-controlled infusion for propofol.

Authors:  M M Struys; T De Smet; B Depoorter; L F Versichelen; E P Mortier; F J Dumortier; S L Shafer; G Rolly
Journal:  Anesthesiology       Date:  2000-02       Impact factor: 7.892

9.  Mixed-effects modeling of the influence of alfentanil on propofol pharmacokinetics.

Authors:  Martijn J Mertens; Erik Olofsen; Anton G L Burm; James G Bovill; Jaap Vuyk
Journal:  Anesthesiology       Date:  2004-04       Impact factor: 7.892

10.  Women emerge from general anesthesia with propofol/alfentanil/nitrous oxide faster than men.

Authors:  T J Gan; P S Glass; J Sigl; P Sebel; F Payne; C Rosow; P Embree
Journal:  Anesthesiology       Date:  1999-05       Impact factor: 7.892

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  13 in total

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Authors:  Irena Loryan; Marja Lindqvist; Inger Johansson; Masahiro Hiratsuka; Ilse van der Heiden; Ron H N van Schaik; Jan Jakobsson; Magnus Ingelman-Sundberg
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2.  Nutrition support during extracorporeal membrane oxygenation (ECMO) in adults: a retrospective audit of 86 patients.

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Review 3.  [Target-controlled infusion. Clinical relevance and special features when using pharmacokinetic models].

Authors:  H Ihmsen; S Schraag; S Kreuer; J Bruhn; S Albrecht
Journal:  Anaesthesist       Date:  2009-07       Impact factor: 1.041

Review 4.  Perioperative Care of Elderly Surgical Outpatients.

Authors:  Xuezhao Cao; Paul F White; Hong Ma
Journal:  Drugs Aging       Date:  2017-09       Impact factor: 3.923

5.  Pharmacokinetics of intravenous paracetamol in elderly patients.

Authors:  Antti Liukas; Kristiina Kuusniemi; Riku Aantaa; Petri Virolainen; Mikko Niemi; Pertti J Neuvonen; Klaus T Olkkola
Journal:  Clin Pharmacokinet       Date:  2011-02       Impact factor: 6.447

6.  Encouraging the move towards predictive population models for the obese using propofol as a motivating example.

Authors:  Sarah C McLeay; Glynn A Morrish; Carl M Kirkpatrick; Bruce Green
Journal:  Pharm Res       Date:  2009-04-01       Impact factor: 4.200

7.  Feedback control for clinicians.

Authors:  Guy A Dumont
Journal:  J Clin Monit Comput       Date:  2013-04-12       Impact factor: 2.502

8.  Impact of priming the infusion system on the performance of target-controlled infusion of remifentanil.

Authors:  Jong-Yeop Kim; Bong-Ki Moon; Jong Hyuk Lee; Youn Yi Jo; Sang-Kee Min
Journal:  Korean J Anesthesiol       Date:  2013-05-24

9.  Propofol pharmacokinetics in young healthy Indian subjects.

Authors:  Avinash Puri; Bikash Medhi; Nidhi B Panda; G D Puri; Sanju Dhawan
Journal:  Indian J Pharmacol       Date:  2012-05       Impact factor: 1.200

10.  Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol.

Authors:  Jong-Yeop Kim; Dae-Hee Kim; A-Ram Lee; Bong-Ki Moon; Sang-Kee Min
Journal:  Korean J Anesthesiol       Date:  2012-04-23
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