ArticleInternational journal of clinical pharmacology & toxicology2017
CYP2B6 Genotype Guided Dosing of Propofol Anesthesia in the Elderly based on Nonparametric Population Pharmacokinetic Modeling and Simulations.
Article in International journal of clinical pharmacology & toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Sedation and analgesia strategies in the neuro intensive care unit.World journal of critical care medicine · 2025Review
- Impact of propofol on gastrointestinal cancer outcomes: A review of cellular behavior, growth, and metastasis.World journal of clinical oncology · 2025Review
- Chronic Cannabis Intoxication and Propofol-Induced Salivation: Causes and Considerations.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Article
- Article
- Clinical Importance of Potential Genetic Determinants Affecting Propofol Pharmacokinetics and Pharmacodynamics.Frontiers in medicine · 2022Review
- Personalized pediatric anesthesia and pain management: problem-based review.Pharmacogenomics · 2020Review
- Potential role of pharmacogenomics testing in the setting of enhanced recovery pathways after surgery.Pharmacogenomics and personalized medicine · 2019Article
- Translating Pharmacogenetics and Pharmacogenomics to the Clinic: Progress in Human and Veterinary Medicine.Frontiers in veterinary science · 2019Review
- The use of PBPK modeling across the pediatric age range using propofol as a case.Journal of pharmacokinetics and pharmacodynamics · 2018Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
objectiveThe primary aim of this article is to test the hypothesis that nonparametric pharmacometric modeling will accurately identify CYP2B6 genotype subgroups based on data from a study that reported results based on parametric pharmacokinetics (PK).
methodsPropofol concentration-time data were originally reported in the Kansaku et al. 2011 publication. Nonparametric Nonlinear Mixed Effects Modeling (NLME) was conducted using the PMETRICS R package while population pharmacokinetic model parameters were estimated using a FORTRAN compiler. Finally, model-based dosing simulations were conducted in the MATLAB Simbiology.
resultsA total of 51 patients were included in the final PK analysis. A two-compartment gamma multiplicative error model adequately described the propofol concentration-time data. The precision of the goodness-of-fit plots resulted in an R
conclusionBased on the pharmacometric modeling and simulation, if no dosage adjustments are made for the elderly CYP2B6 AA and AG genotypes, a 250% higher propofol blood exposure will be evident within 1-hour from the start of the infusion. Thus, based on the pharmacokinetic model, genotyping elderly patients for the CYP2B6 AA and AG gene variants will decrease the total propofol blood exposure during anesthesia and sedation when an infusion dose adjustment is made to 25mg/kg/min.
Indexed as
Identifiers
28154789PMC5282793W2590519126What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.