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Population pharmacokinetics and pharmacodynamics in anesthesia, intensive care and pain medicine.

机译:麻醉,重症监护和止痛药中的人群药代动力学和药效学。

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PURPOSE OF REVIEW: Population modeling is a relatively new pharmacological discipline, the development of which has largely been stimulated by the need for accurate models for the pharmacokinetics and dynamics of anesthetic agents. RECENT FINDINGS: Population-based modeling is now considered superior to older, more traditional modeling methods. Nonlinear mixed-effect modeling - a commonly used population-based modeling approach - estimates intraindividual and interindividual variability, limits the influence of outlying samples and individuals through the use of Bayesian statistical analysis, and provides a potential means of optimizing drug delivery regimens, especially when used to define pharmacokinetic-dynamic models for target-controlled infusion systems. In addition to being used for pharmacokinetic modeling, in which the influence of factors such as age, weight and illness can be studied, it is a powerful tool for the study of the influence of multiple factors on drug pharmacodynamics. SUMMARY: Nonlinear mixed-effect population-based modeling has become the gold standard method of pharmacokinetic and pharmacodynamic analysis during new drug development and during subsequent pharmacological studies. Population-based modeling techniques have been applied to numerous aspects of drug delivery in anesthesia, intensive care and pain medicine.
机译:审查的目的:人群建模是一门相对较新的药理学科,其发展很大程度上是由于需要用于麻醉药的药代动力学和动力学的精确模型的需要。最近的发现:基于人口的建模现在被认为优于旧的,更传统的建模方法。非线性混合效应建模-一种常用的基于人群的建模方法-估计个体间和个体间的变异性,通过使用贝叶斯统计分析限制局外样品和个体的影响,并提供优化药物给药方案的潜在手段,尤其是当用于定义靶控输注系统的药代动力学模型。除了可以用于研究年龄,体重和疾病等因素的药代动力学模型外,它还是研究多种因素对药物药效学影响的有力工具。摘要:基于非线性混合效应人群的建模已成为新药开发过程中和后续药理研究期间进行药代动力学和药效学分析的金标准方法。基于人群的建模技术已应用于麻醉,重症监护和止痛药中药物输送的许多方面。

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