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预测小儿人群中的吗啡清除率:现有药代动力学模型的准确性如何?

Prediction of morphine clearance in the paediatric population : how accurate are the available pharmacokinetic models?

机构信息

Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands.

出版信息

Clin Pharmacokinet. 2012 Nov;51(11):695-709. doi: 10.1007/s40262-012-0006-9.

Abstract

The pharmacokinetics of morphine in paediatrics have been widely studied using different approaches and modelling techniques. In this review, we explore advantages and disadvantages of the different data analysis techniques that have been applied, with specific focus on the accuracy of morphine clearance predictions by reported paediatric pharmacokinetic models. Twenty paediatric studies reported a wide range in morphine clearance values using traditional, rather descriptive methods. Clearance values were expressed per kilogram bodyweight, while maturation in clearance was described by comparing mean clearance per kilogram bodyweight between age-stratified subgroups. Population modelling allows for the analysis of sparse data, thereby limiting the burden to individual patients. Using this technique, continuous maturation profiles can be obtained on the basis of either fixed allometric scaling or comprehensive covariate analysis. While the models based on fixed allometric scaling resulted in complex maturation functions, all three paediatric population models for morphine yielded quite similar clearance predictions. The largest difference in clearance predictions between these three population models occurred in the first months of life, particularly in preterm neonates. Morphine clearance predictions by a physiologically based pharmacokinetic model were based on many continuous equations describing changes in underlying physiological processes across the full paediatric age range, and resulted in similar clearance predictions as well. However, preterm neonates could not be integrated in this model. In conclusion, the value of paediatric pharmacokinetic models is mostly dependent on clearance predictions and population concentration predictions, rather than on the individual description of data. For most pharmacokinetic models, however, the assessment of model performance was very limited and the accuracy of morphine clearance predictions as well as population concentration predictions was confirmed by formal evaluation and validation procedures for only one model.

摘要

吗啡在儿科人群中的药代动力学已通过多种方法和模型技术进行了广泛研究。在本综述中,我们探讨了已应用的不同数据分析技术的优缺点,尤其关注已发表的儿科药代动力学模型对吗啡清除率预测的准确性。20 项儿科研究使用传统的、描述性的方法报告了广泛的吗啡清除率值。清除率值以每公斤体重表示,而通过比较按年龄分层的亚组之间的每公斤体重平均清除率来描述清除率的成熟度。群体模型分析可分析稀疏数据,从而减少对个体患者的负担。使用该技术,可基于固定比例缩放或全面协变量分析获得连续的成熟度曲线。基于固定比例缩放的模型导致了复杂的成熟度函数,而三种吗啡儿科群体模型都产生了相当相似的清除率预测。这三种人群模型之间在清除率预测方面的最大差异发生在生命的最初几个月,尤其是在早产儿中。基于生理的药代动力学模型的吗啡清除率预测基于许多连续方程,描述了整个儿科年龄范围内基础生理过程的变化,并且也产生了相似的清除率预测。然而,该模型无法整合早产儿数据。总之,儿科药代动力学模型的价值主要取决于清除率预测和群体浓度预测,而不是数据的个体描述。但是,对于大多数药代动力学模型,模型性能的评估非常有限,只有一个模型通过正式的评估和验证程序证实了吗啡清除率预测和群体浓度预测的准确性。

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