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基于生理的药代动力学模型评估利托那韦-地高辛相互作用及联合给药方案建议。

Physiologically Based Pharmacokinetic Modeling to Assess Ritonavir-Digoxin Interactions and Recommendations for Co-Administration Regimens.

机构信息

Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu, 241001, Anhui, China.

Wannan Medical College, No. 22, Wenchang West Road, Yijiang District, Wuhu, 241002, China.

出版信息

Pharm Res. 2024 Nov;41(11):2199-2212. doi: 10.1007/s11095-024-03789-w. Epub 2024 Nov 18.

Abstract

BACKGROUND

Digoxin is a commonly used cardiac glycoside drug in clinical practice, primarily transported by P-glycoprotein (P-gp) and susceptible to the influence of P-gp inhibitors/inducers. Concurrent administration of ritonavir and digoxin may significantly increase the plasma concentration of digoxin. Due to the narrow therapeutic window of digoxin, combined use may lead to severe toxic effects.

PURPOSE

Utilize a Physiology-Based Pharmacokinetic (PBPK) model to simulate and predict the impact of the interaction between ritonavir and digoxin on the pharmacokinetics (PK) of digoxin, and provide recommendations for the combined medication regimen.

METHODS

Using PK-Sim, develop individual PBPK models for ritonavir and digoxin. Simulate the exposure in a drug-drug interaction (DDI) scenario by implementing ritonavir's inhibition of P-glycoprotein (P-gp) on digoxin. Evaluate the performance of the models by comparing the predicted and observed plasma concentration-time curves and predicted versus observed PK parameter values. Finally, adjust the dosing regimen for the combined therapy based on the changes in exposure.

RESULTS

According to the model simulations, the steady-state exposure of digoxin increased by 86.5% and 90.2% for oral administration, and 80.2% and 90.2% for intravenous administration, respectively, when 0.25 mg or 0.5 mg of digoxin was administered concurrently with ritonavir. By reducing the dose of digoxin by 45% or doubling the oral administration interval, similar steady-state concentrations can be achieved compared to when the drugs are not co-administered.

CONCLUSIONS

In clinical practice, the influence of drug interactions on the plasma concentration changes of digoxin within the body should be considered to ensure the safety and effectiveness of treatment.

摘要

背景

地高辛是临床实践中常用的强心苷类药物,主要由 P-糖蛋白(P-gp)转运,易受 P-gp 抑制剂/诱导剂的影响。利托那韦和地高辛同时给药可显著增加地高辛的血浆浓度。由于地高辛的治疗窗较窄,联合使用可能导致严重的毒性作用。

目的

利用基于生理学的药代动力学(PBPK)模型模拟和预测利托那韦与地高辛相互作用对地高辛药代动力学(PK)的影响,并为联合用药方案提供建议。

方法

使用 PK-Sim 为利托那韦和地高辛分别建立个体 PBPK 模型。通过模拟利托那韦对 P-糖蛋白(P-gp)对地高辛的抑制作用,在药物相互作用(DDI)场景中模拟暴露情况。通过比较预测和观察到的血浆浓度-时间曲线以及预测与观察到的 PK 参数值来评估模型的性能。最后,根据暴露变化调整联合治疗的剂量方案。

结果

根据模型模拟,当同时给予利托那韦 0.25mg 或 0.5mg 时,口服和静脉给药的地高辛稳态暴露量分别增加了 86.5%和 90.2%,口服和静脉给药的地高辛稳态暴露量分别增加了 80.2%和 90.2%。通过将地高辛剂量减少 45%或将口服给药间隔加倍,可以达到与不联合使用药物时相似的稳态浓度。

结论

在临床实践中,应考虑药物相互作用对体内地高辛血浆浓度变化的影响,以确保治疗的安全性和有效性。

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