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...
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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 |
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