Pharmacokinetic Research Unit, Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.
Center of Excellence for Environmental Health and Toxicology, Naresuan University, Phitsanulok, Thailand.
Eur J Hosp Pharm. 2020 May;27(3):168-172. doi: 10.1136/ejhpharm-2018-001653. Epub 2018 Sep 26.
To evaluate external predictability of a population pharmacokinetic model of valproic acid in Thai patients with mania to ensure its appropriateness for use in other clinical settings.
The published population pharmacokinetic model was evaluated for its predictive ability (at both individual and population levels) and its precision by means of mean absolute prediction error (MAPE), root mean square error (RMSE) and normalised prediction distribution error (NPDE).
Forty-six steady-state serum valproic acid concentration levels from 30 manic patients were retrospectively collected from routine therapeutic drug monitoring at Srithanya Hospital, Thailand. For the prediction-based diagnostics, the MAPE and RMSE were 10.44% (95% CI 8.12% to 12.76%) and 12.99% (95% CI 9.51% to 15.72%), respectively, suggesting that the proposed model was relatively predictive and had a good precision. In simulation-based diagnostics, the NPDE results also showed that the model appropriately predicted valproic acid concentration levels, as indicated by a normal distribution of NPDEs with a mean and a variance of 0 and 1, respectively.
The predictability of the population pharmacokinetic model of valproic acid in Thai patients with mania was confirmed. This model could be applied in other clinical settings.
评估丙戊酸在泰国躁狂症患者群体药代动力学模型的外部预测能力,以确保其在其他临床环境中的适用性。
通过平均绝对预测误差(MAPE)、均方根误差(RMSE)和归一化预测分布误差(NPDE),评估已发表的丙戊酸群体药代动力学模型在个体和群体水平上的预测能力和精度。
从泰国 Srithanya 医院的常规治疗药物监测中回顾性收集了 30 名躁狂症患者的 46 个稳态血清丙戊酸浓度水平。对于基于预测的诊断,MAPE 和 RMSE 分别为 10.44%(95%CI 8.12%至 12.76%)和 12.99%(95%CI 9.51%至 15.72%),表明所提出的模型具有较好的预测能力和精度。在基于模拟的诊断中,NPDE 的结果也表明,该模型能够适当预测丙戊酸的浓度水平,NPDE 的分布呈正态分布,均值和方差分别为 0 和 1。
证实了泰国躁狂症患者丙戊酸群体药代动力学模型的可预测性。该模型可应用于其他临床环境。