雷地帕韦/索非布韦在儿科患者中的群体药代动力学:对急性淋巴细胞白血病的影响。

IF 3.2 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Aya M AbdelMagid, Maggie M Abbassi, Fatma S Ebeid, Manal H El-Sayed, Samar F Farid
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引用次数: 0

摘要

目的:直接作用抗病毒药物雷地帕韦/索非布韦(LDV/SOF)可能改变急性淋巴细胞白血病(ALL)患者的药代动力学(PK)谱,从而影响治疗丙型肝炎病毒所需的最佳剂量。目前关于LDV/SOF及其代谢物GS-331007的群体PK评估数据有限。我们的目的是研究ALL是否会影响丙型肝炎病毒感染儿童中LDV、SOF和SOF主要代谢产物GS-331007的群体PK参数,建立并验证这一特殊人群中LDV/SOF倾向的预测PK模型,并确定其可解释和不可解释的变异性来源。方法:采用非线性混合效应建模方法,利用MonolixSuite软件进行种群PK建模。对不同的室室模型、吸收模型和吸收参数的滞后时间进行了测试,以找出最适合的基础模型。对于最终的模型开发,使用基于相关检验方法的逐步方法的条件抽样进行了数据驱动的系统协变量分析。然后使用内部验证方法对最终模型进行评估。结果:22例完全依从患者的PK结果被纳入人群PK分析。含零级吸收和滞后时间的1室模型最适合描述LDV和SOF,含一阶吸收和滞后时间的2室模型最适合描述SOF代谢物。内部验证方法证实了所选模型的良好预测能力。患者的体重解释了LDV分布体积的变化以及sofv和LDV的全身清除。最终的SOF模型在其分布体积上还包含有统计学意义的脂肪变性阶段协变量,而最终的GS-331007模型包括GS-331007中央室体积的平均红细胞体积值、堆积细胞体积和代谢物间清除的直接胆红素值。结论:ALL的存在并不能解释发达种群PK模型中SOF、LDV和GS-331007的变异性。尽管体重在最终模型中是一个重要的协变量,表明以体重为基础的LDV/SOF剂量优于固定剂量,但固定剂量(45/200 mg LDV/SOF)除了通过临床结果和PK暴露结果证明的有效性和安全性外,在家庭给药方面更为实用。由于缺乏暴露反应分析,以及市场上没有剂量灵活的配方,以体重为基础的给药仍然受到阻碍。需要进一步的研究来支持这些发现。临床试验:政府标识符:NCT03903185。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population Pharmacokinetics of Ledipasvir/Sofosbuvir in Pediatric Patients: Impact of Acute Lymphoblastic Leukemia.

Purpose: The pharmacokinetic (PK) profile of direct-acting antivirals, namely ledipasvir/sofosbuvir (LDV/SOF), might be altered in patients with acute lymphoblastic leukemia (ALL), affecting the optimum dose needed for hepatitis C virus treatment. Limited data are available evaluating the population PK of LDV/SOF and SOF metabolite GS-331007. We aimed to study whether ALL could affect population PK parameters of LDV, SOF, and the SOF major metabolite GS-331007 in hepatitis C virus-infected children, develop and validate a predictive PK model of LDV/SOF disposition in this special population, and identify their explained and unexplained sources of variability.

Methods: Population PK modeling was performed using MonolixSuite software using the non-linear mixed effect modeling approach. Different compartmental models, absorption models, and lag times for absorption parameters were tested to find out the best-fitting base model. For final model development, data-driven systematic covariate analysis using conditional sampling for the stepwise approach based on the correlation tests method has been performed. The final models were then evaluated using internal validation approaches.

Findings: The PK results of 22 fully compliant patients were included in the population PK analysis. LDV and SOF were best described by a 1-compartment model with zero-order absorption and lag time, while the 2-compartment model with first-order absorption and lag time was the best-fitting model for the SOF metabolite. The internal validation approach confirmed the good predictive power of the selected models. The patients' weight explained the variability in the volume of distribution of LDV and the systemic clearance of SOF and LDV. The final SOF model also included a statistically significant covariate of steatosis stage on its volume of distribution, while the final GS-331007 model included mean corpuscular volume values on GS-331007 central compartment volume, packed cell volume, and direct bilirubin values on metabolite intercompartmental clearance.

Implications: The presence of ALL did not explain any variability in the developed population PK models for SOF, LDV, and GS-331007. Despite weight being a significant covariate in the final models suggesting that weight-based dosing of LDV/SOF is better than fixed dosing, the fixed dosing (45/200 mg LDV/SOF) is more practical in terms of simplicity in dosing children at home besides the proved efficacy and safety through both the clinical outcomes and PK exposure results. Weight-based dosing is still hindered due to the absence of exposure-response analysis, and the unavailability of dose-flexible formulas in the market. Future studies are required to support these findings.

Clinicaltrials:

Gov identifier: NCT03903185.

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来源期刊
Clinical therapeutics
Clinical therapeutics 医学-药学
CiteScore
6.00
自引率
3.10%
发文量
154
审稿时长
9 weeks
期刊介绍: Clinical Therapeutics provides peer-reviewed, rapid publication of recent developments in drug and other therapies as well as in diagnostics, pharmacoeconomics, health policy, treatment outcomes, and innovations in drug and biologics research. In addition Clinical Therapeutics features updates on specific topics collated by expert Topic Editors. Clinical Therapeutics is read by a large international audience of scientists and clinicians in a variety of research, academic, and clinical practice settings. Articles are indexed by all major biomedical abstracting databases.
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