Literature DB >> 24977639

Performance of propofol target-controlled infusion models in the obese: pharmacokinetic and pharmacodynamic analysis.

Luis I Cortínez1, Natalia De la Fuente, Douglas J Eleveld, Ana Oliveros, Fernando Crovari, Pablo Sepulveda, Mauricio Ibacache, Sandra Solari.   

Abstract

BACKGROUND: Obesity is associated with important physiologic changes that can potentially affect the pharmacokinetic (PK) and pharmacodynamic (PD) profile of anesthetic drugs. We designed this study to assess the predictive performance of 5 currently available propofol PK models in morbidly obese patients and to characterize the Bispectral Index (BIS) response in this population.
METHODS: Twenty obese patients (body mass index >35 kg/m), aged 20 to 60 years, scheduled for laparoscopic bariatric surgery, were studied. Anesthesia was administered using propofol by target-controlled infusion and remifentanil by manually controlled infusion. BIS data and propofol infusion schemes were recorded. Arterial blood samples to measure propofol were collected during induction, maintenance, and the first 2 postoperative hours. Median performance errors (MDPEs) and median absolute performance errors (MDAPEs) were calculated to measure model performance. A PKPD model was developed using NONMEM to characterize the propofol concentration-BIS dynamic relationship in the presence of remifentanil.
RESULTS: We studied 20 obese adults (mean weight: 106 kg, range: 85-141 kg; mean age: 33.7 years, range: 21-53 years; mean body mass index: 41.4 kg/m, range: 35-52 kg/m). We obtained 294 arterial samples and analyzed 1431 measured BIS values. When total body weight (TBW) was used as input of patient weight, the Eleveld allometric model showed the best (P < 0.0001) performance with MDPE = 18.2% and MDAPE = 27.5%. The 5 tested PK models, however, showed a tendency to underestimate propofol concentrations. The use of an adjusted body weight with the Schnider and Marsh models improved the performance of both models achieving the lowest predictive errors (MDPE = <10% and MDAPE = <25%; all P < 0.0001). A 3-compartment PK model linked to a sigmoidal inhibitory Emax PD model by a first-order rate constant (ke0) adequately described the propofol concentration-BIS data. A lag time parameter of 0.44 minutes (SE = 0.04 minutes) to account for the delay in BIS response improved the fit. A simulated effect-site target of 3.2 μg/mL (SE = 0.17 μg/mL) was estimated to obtain BIS of 50, in the presence of remifentanil, for a typical patient in our study.
CONCLUSIONS: The Eleveld allometric PK model proved to be superior to all other tested models using TBW. All models, however, showed a trend to underestimate propofol concentrations. The use of adjusted body weight instead of TBW with the traditional Schnider and Marsh models markedly improved their performance achieving the lowest predictive errors of all tested models. Our results suggest no relevant effect of obesity on both the time profile of BIS response and the propofol concentration-BIS relationship.

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Year:  2014        PMID: 24977639     DOI: 10.1213/ANE.0000000000000317

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  15 in total

1.  Population pharmacokinetic-pharmacodynamic modeling and dosing simulation of propofol maintenance anesthesia in severely obese adolescents.

Authors:  Vidya Chidambaran; Raja Venkatasubramanian; Senthilkumar Sadhasivam; Hope Esslinger; Shareen Cox; Jeroen Diepstraten; Tsuyoshi Fukuda; Thomas Inge; Catherijne A J Knibbe; Alexander A Vinks
Journal:  Paediatr Anaesth       Date:  2015-05-13       Impact factor: 2.556

2.  Measuring the accuracy of propofol target-controlled infusion (TCI) before and after surgery with major blood loss.

Authors:  Thomas Mohler; JoEllen Welter; Martina Steurer; Luis Neumann; Max Zueger; Thomas Kraemer; Alexander Dullenkopf
Journal:  J Clin Monit Comput       Date:  2019-01-22       Impact factor: 2.502

Review 3.  Propofol: a review of its role in pediatric anesthesia and sedation.

Authors:  Vidya Chidambaran; Andrew Costandi; Ajay D'Mello
Journal:  CNS Drugs       Date:  2015-07       Impact factor: 5.749

4.  Perioperative support reduces mortality of obese BALB/c mice after ovariectomy.

Authors:  Laura Mattheis; Juliane-Susanne Jung; Bernhard Hiebl; Wiebke Garrels; Heike Kielstein; Julia Spielmann
Journal:  Lab Anim (NY)       Date:  2016-06-21       Impact factor: 12.625

5.  Impact of clinical factors and UGT1A9 and CYP2B6 genotype on inter-individual differences in propofol pharmacokinetics.

Authors:  Akihiro Kanaya; Toshihiro Sato; Nobuo Fuse; Hiroaki Yamaguchi; Nariyasu Mano; Masanori Yamauchi
Journal:  J Anesth       Date:  2018-02-21       Impact factor: 2.078

6.  Pharmacodynamic analysis of target-controlled infusion of propofol in patients with hepatic insufficiency.

Authors:  Jing-Ru Pan; Jun Cai; Shao-Li Zhou; Qian-Qian Zhu; Fei Huang; Yi-Han Zhang; Xin-Jin Chi; Zi-Qing Hei
Journal:  Biomed Rep       Date:  2016-10-19

Review 7.  Current Applications of Artificial Intelligence in Bariatric Surgery.

Authors:  Valentina Bellini; Marina Valente; Melania Turetti; Paolo Del Rio; Francesco Saturno; Massimo Maffezzoni; Elena Bignami
Journal:  Obes Surg       Date:  2022-05-26       Impact factor: 3.479

8.  [Drugs for intravenous induction of anesthesia: propofol].

Authors:  D Bolkenius; C Dumps; E Halbeck
Journal:  Anaesthesist       Date:  2018-02       Impact factor: 1.041

9.  Propofol target-controlled infusion modeling in rabbits: Pharmacokinetic and pharmacodynamic analysis.

Authors:  Jian-Yan Chen; Ming Yi; Shang-Long Yao; Xue-Ping Zhang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2016-07-05

10.  A Comparative Study of Midazolam and Target-Controlled Propofol Infusion in the Treatment of Refractory Status Epilepticus.

Authors:  Dheeraj Masapu; K N Gopala Krishna; Sinha Sanjib; Dhrithiman Chakrabarti; R C Mundlamuri; Nitin Manohar; P Mariamma; P Satishchandra; G S Umamaheswara Rao
Journal:  Indian J Crit Care Med       Date:  2018-06
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