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

BackgroundWe investigated how one pharmacokinetic (PK) model differed in prediction of plasma (Cp) and effect-site concentration (Ceff) using a reproducing simulation of target-controlled infusion (TCI) with another PK model of propofol.MethodsSixty female patients were randomly assigned to TCI usin...

Full description

Bibliographic Details
Main Authors: Jong-Yeop Kim, Dae-Hee Kim, A-Ram Lee, Bong-Ki Moon, Sang-Kee Min
Format: Article
Language:English
Published: Korean Society of Anesthesiologists 2012-04-01
Series:Korean Journal of Anesthesiology
Subjects:
Online Access:http://ekja.org/upload/pdf/kjae-62-309.pdf
id doaj-44c019bda46147b48b6982dab893ca8d
record_format Article
spelling doaj-44c019bda46147b48b6982dab893ca8d2020-11-25T03:08:30ZengKorean Society of AnesthesiologistsKorean Journal of Anesthesiology2005-64192005-75632012-04-0162430931610.4097/kjae.2012.62.4.3097311Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofolJong-Yeop Kim0Dae-Hee Kim1A-Ram Lee2Bong-Ki Moon3Sang-Kee Min4Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.BackgroundWe investigated how one pharmacokinetic (PK) model differed in prediction of plasma (Cp) and effect-site concentration (Ceff) using a reproducing simulation of target-controlled infusion (TCI) with another PK model of propofol.MethodsSixty female patients were randomly assigned to TCI using Marsh PK (Group M) and TCI using Schnider PK (Group S) targeting 6.0 µg/ml of Cp of propofol for induction of anesthesia, and loss of responsiveness (LOR) was evaluated. Total and separate cross-simulation were investigated using the 2 hr TCI data (Marsh TCI and Schnider TCI), and we investigated the reproduced predicted concentrations (MARSHSCH and SCHNIDERMAR) using the other model. The correlation of the difference with covariates, and the influence of the PK parameters on the difference of prediction were investigated.ResultsGroup M had a shorter time to LOR compared to Group S (P < 0.001), but Ceff at LOR was not different between groups. Reproduced simulations showed different time courses of Cp. MARSHSCH predicted a higher concentration during the early phase, whereas SCHNIDERMAR was maintained at a higher concentration. Volume and clearance of the central compartment were relevant to the difference of prediction, respectively. Body weight correlated well with differences in prediction between models (Rsqr = 0.9821, P < 0.001).ConclusionsWe compared two PK models to determine the different infusion behaviors during TCI, which resulted from the different parameter sets for each PK model.http://ekja.org/upload/pdf/kjae-62-309.pdfpharmacokinetic modelspropofoltarget-controlled infusion
collection DOAJ
language English
format Article
sources DOAJ
author Jong-Yeop Kim
Dae-Hee Kim
A-Ram Lee
Bong-Ki Moon
Sang-Kee Min
spellingShingle Jong-Yeop Kim
Dae-Hee Kim
A-Ram Lee
Bong-Ki Moon
Sang-Kee Min
Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
Korean Journal of Anesthesiology
pharmacokinetic models
propofol
target-controlled infusion
author_facet Jong-Yeop Kim
Dae-Hee Kim
A-Ram Lee
Bong-Ki Moon
Sang-Kee Min
author_sort Jong-Yeop Kim
title Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
title_short Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
title_full Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
title_fullStr Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
title_full_unstemmed Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
title_sort cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
publisher Korean Society of Anesthesiologists
series Korean Journal of Anesthesiology
issn 2005-6419
2005-7563
publishDate 2012-04-01
description BackgroundWe investigated how one pharmacokinetic (PK) model differed in prediction of plasma (Cp) and effect-site concentration (Ceff) using a reproducing simulation of target-controlled infusion (TCI) with another PK model of propofol.MethodsSixty female patients were randomly assigned to TCI using Marsh PK (Group M) and TCI using Schnider PK (Group S) targeting 6.0 µg/ml of Cp of propofol for induction of anesthesia, and loss of responsiveness (LOR) was evaluated. Total and separate cross-simulation were investigated using the 2 hr TCI data (Marsh TCI and Schnider TCI), and we investigated the reproduced predicted concentrations (MARSHSCH and SCHNIDERMAR) using the other model. The correlation of the difference with covariates, and the influence of the PK parameters on the difference of prediction were investigated.ResultsGroup M had a shorter time to LOR compared to Group S (P < 0.001), but Ceff at LOR was not different between groups. Reproduced simulations showed different time courses of Cp. MARSHSCH predicted a higher concentration during the early phase, whereas SCHNIDERMAR was maintained at a higher concentration. Volume and clearance of the central compartment were relevant to the difference of prediction, respectively. Body weight correlated well with differences in prediction between models (Rsqr = 0.9821, P < 0.001).ConclusionsWe compared two PK models to determine the different infusion behaviors during TCI, which resulted from the different parameter sets for each PK model.
topic pharmacokinetic models
propofol
target-controlled infusion
url http://ekja.org/upload/pdf/kjae-62-309.pdf
work_keys_str_mv AT jongyeopkim crosssimulationbetweentwopharmacokineticmodelsforthetargetcontrolledinfusionofpropofol
AT daeheekim crosssimulationbetweentwopharmacokineticmodelsforthetargetcontrolledinfusionofpropofol
AT aramlee crosssimulationbetweentwopharmacokineticmodelsforthetargetcontrolledinfusionofpropofol
AT bongkimoon crosssimulationbetweentwopharmacokineticmodelsforthetargetcontrolledinfusionofpropofol
AT sangkeemin crosssimulationbetweentwopharmacokineticmodelsforthetargetcontrolledinfusionofpropofol
_version_ 1724665958070484992