1University of Ljubljana, Faculty of Pharmacy, Department of Biopharmacy and Pharmacokinetics, 1000 Ljubljana Slovenia.
2University of Ljubljana, Faculty of Medicine, Department of Pediatrics 1000 Ljubljana, Slovenia.
Acta Pharm. 2023 Jun 12;73(2):175-194. doi: 10.2478/acph-2023-0027. Print 2023 Jun 1.
The aim of this study was to externally validate the predictive performance of published population pharmacokinetic models of gentamicin in all paediatric age groups, from preterm newborns to adolescents. We first selected published population pharmacokinetic models of gentamicin developed in the paediatric population with a wide age range. The parameters of the literature models were then re-estimated using the PRIOR subroutine in NONMEM. The predictive ability of the literature and the tweaked models was evaluated. Retrospectively collected data from a routine clinical practice (512 concentrations from 308 patients) were used for validation. The models with covariates characterising developmental changes in clearance and volume of distribution had better predictive performance, which improved further after re-estimation. The tweaked model by Wang 2019 performed best, with suitable accuracy and precision across the complete paediatric population. For patients treated in the intensive care unit, a lower proportion of patients would be expected to reach the target trough concentration at standard dosing. The selected model could be used for model-informed precision dosing in clinical settings where the entire paediatric population is treated. However, for use in clinical practice, the next step should include additional analysis of the impact of intensive care treatment on gentamicin pharmacokinetics, followed by prospective validation.
本研究旨在对外验证已发表的庆大霉素群体药代动力学模型在所有儿科年龄组(从早产儿到青少年)中的预测性能。我们首先选择了已发表的在儿科人群中具有广泛年龄范围的庆大霉素群体药代动力学模型。然后使用 NONMEM 中的 PRIOR 子程序重新估计文献模型的参数。评估文献模型和调整模型的预测能力。使用回顾性收集的常规临床实践数据(来自 308 名患者的 512 个浓度)进行验证。具有能够描述清除率和分布容积发育变化的协变量的模型具有更好的预测性能,重新估计后进一步得到改善。Wang 2019 调整后的模型表现最佳,在整个儿科人群中具有适当的准确性和精密度。对于在重症监护病房治疗的患者,预计按标准剂量治疗时,达到目标谷浓度的患者比例会更低。选择的模型可用于在治疗整个儿科人群的临床环境中进行模型指导的精准给药。然而,要在临床实践中使用,下一步应包括对重症监护治疗对庆大霉素药代动力学的影响进行额外分析,然后进行前瞻性验证。