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类风湿关节炎患者的培非替尼群体药代动力学分析。

Population pharmacokinetic analysis of peficitinib in patients with rheumatoid arthritis.

机构信息

Astellas Pharma Inc., Tokyo, Japan.

出版信息

Br J Clin Pharmacol. 2021 Apr;87(4):2014-2022. doi: 10.1111/bcp.14605. Epub 2020 Dec 1.

Abstract

AIMS

To analyse the population pharmacokinetics (PK) of peficitinib in patients with rheumatoid arthritis (RA) and assess the potential PK covariates to identify the requirement for dose adjustment in RA patients.

METHODS

The analysis incorporated 2464 observations from 98 healthy volunteers and 4919 observations from 989 RA patients. A population PK model for peficitinib in RA patients was constructed by a nonlinear mixed effect model using NONMEM with prior information from a healthy volunteer model.

RESULTS

A 2-compartment model with sequential zero- and first-order absorption and lag time was constructed for RA patients. Covariate exploration in the RA patient model revealed that estimated glomerular filtration rate (eGFR) and lymphocyte count had a significant effect on apparent total systemic clearance (CL), which was 91.7 L/h (2.3% relative standard error). Compared with the mean population CL, the model predicted mean changes in CL of 12.3 and -10.7% in patients with observed minimum and maximum lymphocyte count of 500 and 4600 10 /L, respectively, and mean changes in CL of -17.8 and 16.7% in patients with minimum and maximum eGFR of 36.4 and 188 mL/min/1.73m , respectively. The simulated population mean area under plasma concentration-time curve for 24 hours after dosing showed a 1.35-fold increase in patients with severe renal impairment (eGFR 22.5 mL/min/1.73m ) compared with patients with reference eGFR (91.5 mL/min/1.73m ).

CONCLUSION

The population PK model identified eGFR and lymphocyte count as covariates for CL. The magnitude of changes was not considered clinically relevant, indicating no requirement for dose adjustment.

摘要

目的

分析类风湿关节炎(RA)患者培非替尼的群体药代动力学(PK),并评估潜在的 PK 协变量,以确定 RA 患者是否需要调整剂量。

方法

分析纳入了 98 名健康志愿者的 2464 次观察结果和 989 名 RA 患者的 4919 次观察结果。采用 NONMEM 软件,基于健康志愿者模型的先验信息,构建 RA 患者培非替尼的群体 PK 模型。

结果

构建了 RA 患者的 2 室模型,具有顺序零级和一级吸收和滞后时间。RA 患者模型中的协变量探索显示,估计肾小球滤过率(eGFR)和淋巴细胞计数对表观总系统清除率(CL)有显著影响,CL 为 91.7 L/h(相对标准误差为 2.3%)。与人群 CL 的平均值相比,模型预测淋巴细胞计数最低和最高时,CL 的平均变化分别为 12.3%和-10.7%,最低和最高时,CL 的平均变化分别为-17.8%和 16.7%,最低和最高时,eGFR 分别为 36.4 和 188 mL/min/1.73m 。模拟人群 24 小时后给药的血浆浓度-时间曲线下面积,严重肾功能不全(eGFR 22.5 mL/min/1.73m )患者比参考 eGFR(91.5 mL/min/1.73m )患者增加 1.35 倍。

结论

该群体 PK 模型确定 eGFR 和淋巴细胞计数为 CL 的协变量。变化幅度没有被认为具有临床意义,表明不需要调整剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40a8/8056739/a6b917fb66c9/BCP-87-2014-g001.jpg

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