Integrated Population Pharmacokinetic/Viral Dynamic Modelling of Lopinavir/Ritonavir in HIV-1 Treatment-Naı¨ve Patients
作者:Kun Wang • David Z. D’Argenio • Edward P. Acosta • Anandi N. Sheth • Cecile Delille • Jeffrey L. Lennox • Corenna Kerstner-Wood • Ighovwerha Ofotokun
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发布:Yuting Yang
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发布时间: 2018-09-10
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1212 次浏览
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Abstract
Background
Lopinavir (LPV)/ritonavir (RTV) co-for- mulation (LPV/RTV) is a widely used protease inhibitor (PI)-based regimen to treat HIV-infection. As with all PIs, the trough concentration (Ctrough) is a primary determinant of response, but the optimum exposure remains poorly defined. The primary objective was to develop an inte- grated LPV population pharmacokinetic model to investi- gate the influence of a-1-acid glycoprotein and link total and free LPV exposure to pharmacodynamic changes in HIV-1 RNA and assess viral dynamic and drug efficacy parameters.
Methods
Data from 35 treatment-na¨ıve HIV-infected patients initiating therapy with LPV/RTV 400/100 mg orally twice daily across two studies were used for model development and simulations using ADAPT. Total LPV (LPVt) and RTV concentrations were measured by high- performance liquid chromatography with ultraviolet (UV) detection. Free LPV (LPVf) concentrations were measured using equilibrium dialysis and mass spectrometry.
Results
The LPVt typical value of clearance (CLLPVt =F) was 4.73 L/h and the distribution volume (VLPVt =F) was
55.7 L. The clearance (CLLPVf =F) and distribution volume (Vf/F) for LPVf were 596 L/h and 6,370 L, respectively. The virion clearance rate was 0.0350 h-1. The simulated LPVLPVt Ctrough values at 90 % (EC90) and 95 % (EC95) of the maximum response were 316 and 726 ng/mL, respectively.
Conclusions
The pharmacokinetic–pharmacodynamic model provides a useful tool to quantitatively describe the relationship between LPV/RTV exposure and viral response. This comprehensive modelling and simulation approach could be used as a surrogate assessment of antiretroviral (ARV) activity where adequate early-phase doseranging studies are lacking in order to define target trough concentrations and possibly refine dosing recommendations.