Ling Jing, Yang Xu-Ping, Dong Lu-Lu, Jiang Yan, Zou Su-Lan, Hu Nan, Chen Rong
Department of Pharmacy, the First People's Hospital of Changzhou/the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
J Clin Pharm Ther. 2022 Apr;47(4):483-492. doi: 10.1111/jcpt.13569. Epub 2021 Nov 14.
Ciclosporin (CsA), a potent immunosuppressive agent used to prevent graft-versus-host disease in allogeneic hematopoietic stem cell transplant (allo-HSCT) recipients, is characterized by large inter-individual variability and a narrow therapeutic range. The aim of this study was to develop a population pharmacokinetic model for CsA in Chinese allo-HSCT recipients and to identify covariates influencing CsA pharmacokinetics.
A total of 758 retrospective drug monitoring data points were collected after intravenous infusion or oral administration of CsA from 59 patients. Population pharmacokinetic analysis was performed using nonlinear mixed effects modelling expressed by differential equations. Monte Carlo simulation was applied to optimize dosage regimens. The final model was validated using bootstrap and normalized prediction distribution errors.
The results showed that the daily CsA dose, haematocrit, total bile acid, C-reactive protein (CRP) and co-administration of triazole antifungal agent were identified as significant covariates for clearance (CL) of CsA. The typical value of CL was 19.8 L/h with an inter-individual variability of 13.1%. The volume of distribution was 1340 L. Bioavailability was 67.2% with an inter-individual variability of 8.5%. Dosing simulation based on the developed model indicated that patients with high CRP concentration required a higher daily dose to attain the therapeutic trough concentration. The influence of CRP ultimately on the therapy outcome of CsA is not clear, which needs further study.
CRP concentration was identified as a novel marker associated with CsA pharmacokinetics, which should be considered when determining the appropriate dosage of CsA in allo-HSCT recipients.
环孢素(CsA)是一种强效免疫抑制剂,用于预防异基因造血干细胞移植(allo-HSCT)受者的移植物抗宿主病,其特点是个体间差异大且治疗窗窄。本研究的目的是建立中国allo-HSCT受者CsA的群体药代动力学模型,并确定影响CsA药代动力学的协变量。
收集了59例患者静脉输注或口服CsA后的758个回顾性药物监测数据点。使用由微分方程表示的非线性混合效应模型进行群体药代动力学分析。应用蒙特卡洛模拟优化给药方案。最终模型通过自举法和标准化预测分布误差进行验证。
结果表明,CsA的每日剂量、血细胞比容、总胆汁酸、C反应蛋白(CRP)以及三唑类抗真菌药的联合使用被确定为CsA清除率(CL)的显著协变量。CL的典型值为19.8 L/h,个体间变异性为13.1%。分布容积为1340 L。生物利用度为67.2%,个体间变异性为8.5%。基于所建立模型的给药模拟表明,CRP浓度高的患者需要更高的每日剂量才能达到治疗谷浓度。CRP最终对CsA治疗结果的影响尚不清楚,需要进一步研究。
CRP浓度被确定为与CsA药代动力学相关的新标志物,在确定allo-HSCT受者CsA的合适剂量时应予以考虑。