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重症患者亚胺培南的群体药代动力学和剂量优化。

Population pharmacokinetics and dosing optimisation of imipenem in critically ill patients.

机构信息

Department of Intensive Care Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

出版信息

Eur J Hosp Pharm. 2024 Aug 22;31(5):434-439. doi: 10.1136/ejhpharm-2022-003403.

Abstract

OBJECTIVE

The objective of this study was to explore factors that affect the clearance of imipenem in critically ill patients and to provide a dosing regimen for such patients.

METHODS

A prospective open-label study enrolled 51 critically ill patients with sepsis. Patients were between the ages of 18 and 96. Blood samples were collected in duplicate before (0 hour) and at 0.5, 1, 1.5, 2, 3, 4, 6, and 8 hours after imipenem administration. The plasma imipenem concentration was determined by the high-performance liquid chromatography-ultraviolet detection (HPLC-UV) method. A population pharmacokinetic (PPK) model was developed using nonlinear mixed-effects modelling methods to identify covariates. Monte Carlo simulations were performed using the final PPK model to explore the effect of different dosing regimens on the probability of target attainment (PTA).

RESULTS

The imipenem concentration data were best described by a two-compartment model. Creatinine clearance (CrCl, mL/min) was a covariate that affected central clearance (CLc). Patients were divided into four subgroups based on different CrCl rates. Monte Carlo simulations were performed to assess the PTA differences between empirical dosing regimens (0.5 g every 6 hours (q6h), 0.5 g every 8 hours (q8h), 0.5 g every 12 hours (q12h), 1 g every 6 hours (q6h), 1 g every 8 hours (q8h), and 1 g every 12 hours (q12h)) and to determine the target achievement rate covariate.

CONCLUSION

This study identified covariates for CLc, and the proposed final model can be used to guide clinicians administering imipenem in this particular patient population.

摘要

目的

本研究旨在探讨影响重症患者亚胺培南清除率的因素,并为这类患者提供一种给药方案。

方法

前瞻性开放标签研究纳入了 51 例脓毒症重症患者。患者年龄在 18 岁至 96 岁之间。在给予亚胺培南前(0 小时)和 0.5、1、1.5、2、3、4、6 和 8 小时时采集双份血样。采用高效液相色谱-紫外检测法(HPLC-UV)测定血浆亚胺培南浓度。采用非线性混合效应模型法建立群体药代动力学(PPK)模型,以确定协变量。采用最终 PPK 模型进行蒙特卡罗模拟,以探讨不同给药方案对目标达成率(PTA)的影响。

结果

亚胺培南浓度数据最好用双室模型描述。肌酐清除率(CrCl,mL/min)是影响中央清除率(CLc)的协变量。根据不同的 CrCl 率将患者分为四个亚组。进行蒙特卡罗模拟,以评估经验性给药方案(0.5 g 每 6 小时(q6h)、0.5 g 每 8 小时(q8h)、0.5 g 每 12 小时(q12h)、1 g 每 6 小时(q6h)、1 g 每 8 小时(q8h)和 1 g 每 12 小时(q12h))之间的 PTA 差异,并确定目标实现率协变量。

结论

本研究确定了 CLc 的协变量,所提出的最终模型可用于指导在该特定患者人群中给予亚胺培南的临床医生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23cd/11347199/157ec26d7686/ejhpharm-2022-003403f01.jpg

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