中国肾病综合征患者个体化给药时环孢素A的人群药代动力学
。

IF 0.9 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Ya-Ou Liu, B. Jia, Chao-Yang Chen, Ying Zhou, Yi-min Cui, F. Zhou
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引用次数: 1

摘要

目的建立我国肾病综合征(NS)患者环孢素a (CsA)的群体药代动力学(PopPK)模型,并用该模型指导个体化给药方案的调整。材料与方法收集127例中国NS患者的CsA治疗药物监测(TDM)浓度。建立了具有一阶吸收和线性消除的单室PK模型。采用一阶条件估计(FOCE)方法,利用NONMEM软件建立带协变量的最终模型。最终模型通过内部验证进行评估,包括拟合优度分析和自举法,以及使用来自35名NS患者的39个额外的PK观察结果进行外部验证。结果建立中国NS患者CsA PopPK模型,观察体重对CsA清除率的影响。内部和外部验证结果表明,最终模型是稳定的。结论建立的人群模型充分表征了中国患者CsA的PK,可以支持NS治疗过程中CsA的个体化用药。
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 cyclosporine A in Chinese patients with nephrotic syndrome in individualized drug administration
.
OBJECTIVE To establish a population pharmacokinetic (PopPK) model of cyclosporine A (CsA) in Chinese patients with nephrotic syndrome (NS) and to use the model to guide the adjustment of individualized dosage regimens. MATERIALS AND METHODS 216 CsA therapeutic drug monitoring (TDM) concentration observations were collected from 127 Chinese patients with NS. The basic model was developed as a one-compartment PK model with first-order absorption and linear elimination. The first-order conditional estimation (FOCE) method was applied to establish the final model with covariates using NONMEM software. The final model was evaluated through internal validation including goodness-of-fit analysis and bootstrap method as well as external validation using 39 additional PK observations from 35 patients with NS. RESULTS A PopPK model of CsA was established in Chinese NS patients with influence of body weight on clearance. The internal and external validation results showed that the final model was stable. CONCLUSION The established population model adequately characterized the PK of CsA in Chinese patients and could support individualized medication during treatment of NS with CsA.
.
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来源期刊
CiteScore
1.70
自引率
12.50%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The International Journal of Clinical Pharmacology and Therapeutics appears monthly and publishes manuscripts containing original material with emphasis on the following topics: Clinical trials, Pharmacoepidemiology - Pharmacovigilance, Pharmacodynamics, Drug disposition and Pharmacokinetics, Quality assurance, Pharmacogenetics, Biotechnological drugs such as cytokines and recombinant antibiotics. Case reports on adverse reactions are also of interest.
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