Chantharit Prawat, Tantasawat Montira, Kasai Hidefumi, Tanigawara Yusuke
Department of Clinical Pharmacokinetics and Pharmacodynamics, Keio University School of Medicine, Tokyo, Japan.
Deparment of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University; and.
Ther Drug Monit. 2020 Dec;42(6):872-879. doi: 10.1097/FTD.0000000000000799.
Voriconazole (VRCZ) is an antifungal triazole recommended as an effective first-line agent for treating invasive aspergillosis.
To develop a population pharmacokinetic model of VRCZ and trough concentration-based dosing simulation for dynamic patient conditions.
The authors combined plasma VRCZ data from intensive sampling, and retrospective trough concentration monitoring for analysis. Nonlinear mixed-effects modeling with subsequent model validation was performed. The recommended dosage regimens were simulated based on the developed model.
The study participants included 106 patients taking oral VRCZ. A linear one-compartment model with first-order elimination and absorption best described the observed data. The CYP2C19 phenotypes did not influence the pharmacokinetic parameters. Serum albumin (SA) levels and gamma-glutamyl transferase significantly correlated with the VRCZ clearance rate, whereas the actual body weight influenced the volume. A visual predictive check showed good consistency with the observed data, whereas SA levels across the treatment course correlated with linear clearance, irrespective of the CYP2C19 phenotype. Patients with SA levels ≤30 g/L had lower linear clearance than that in patients with SA levels >30 g/L. Dosing simulation based on the developed model indicated that patients with SA levels of ≤30 g/L required a lower daily maintenance dose to attain the therapeutic trough level.
SA level was identified as a novel marker associated with VRCZ clearance. This marker may be a practical choice for physicians to perform therapeutic drug monitoring and optimize VRCZ dosage.
伏立康唑(VRCZ)是一种抗真菌三唑类药物,被推荐作为治疗侵袭性曲霉病的有效一线药物。
建立伏立康唑的群体药代动力学模型,并基于谷浓度进行给药模拟以适应患者的动态情况。
作者将强化采样获得的血浆伏立康唑数据与回顾性谷浓度监测数据相结合进行分析。进行了非线性混合效应建模及随后的模型验证。基于所建立的模型模拟了推荐的给药方案。
研究参与者包括106例口服伏立康唑的患者。具有一级消除和吸收的线性单室模型能最好地描述观察到的数据。CYP2C19表型不影响药代动力学参数。血清白蛋白(SA)水平和γ-谷氨酰转移酶与伏立康唑清除率显著相关,而实际体重影响其体积。直观预测检查显示与观察数据具有良好的一致性,并且在整个治疗过程中SA水平与线性清除相关,与CYP2C19表型无关。SA水平≤30 g/L的患者的线性清除率低于SA水平>30 g/L的患者。基于所建立模型的给药模拟表明,SA水平≤30 g/L的患者需要较低的每日维持剂量以达到治疗谷浓度水平。
SA水平被确定为与伏立康唑清除相关的新标志物。该标志物可能是医生进行治疗药物监测和优化伏立康唑剂量的实用选择。