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多黏菌素B在碳青霉烯类耐药菌感染重症患者中的群体药代动力学:稳态谷浓度和血药峰浓度的见解

Population pharmacokinetics of polymyxin B in critically ill patients with carbapenem-resistant organisms infections: insights from steady-state trough and peak plasma concentration.

作者信息

Yang Jun, Yu Mingjie, Gan Yu, Cheng Lin, Yang Ge, Xiong Lirong, Liu Fang, Chen Yongchuan

机构信息

Department of Pharmacy, The First Affiliated Hospital of Army Medical University, Chong Qing, China.

Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chong Qing, China.

出版信息

Front Pharmacol. 2025 Mar 12;16:1511088. doi: 10.3389/fphar.2025.1511088. eCollection 2025.

Abstract

AIMS

To establish a population pharmacokinetic (PopPK) model of polymyxin B (PMB) in critically ill patients based on steady-state trough (C) and peak (C) concentrations, optimize the dosing regimen, and evaluate the consistency of 24-hour steady-state area under the concentration-time curve (AUC) estimation between model-based and the two-point (C and C) methods.

METHODS

PopPK modeling was performed using NONMEM, Monte Carlo simulations were used to optimize PMB dosing regimens. Bland-Altman analysis was used to evaluate the consistency between the two AUC estimation methods.

RESULTS

A total of 95 patients, contributing 214 blood samples, were included and categorized into a modeling group (n = 80) and a validation group (n = 15). A one-compartment model was developed, with creatinine clearance (CrCL) and platelet count (PLT) identified as significant covariates influencing PK parameters. Simulation results indicated that when a Minimum Inhibitory Concentration (MIC) ≤ 0.5 mg·L, a probability of target attainment (PTA) ≥ 90% was achieved in all groups except for the 50 mg every 12 h (q12h) maintenance dose group. PTA decreased as CrCL increased, with slight variations observed across different PLT levels. The 75 mg and 100 mg q12h groups showed a higher proportion of AUC within the therapeutic window. Bland-Altman analysis revealed a mean bias of 12.98 mg·h·L between the two AUC estimation methods. The Kappa test (κ = 0.51, P < 0.001) and McNemar's test (P = 0.33) demonstrated moderate agreement, reflecting overall consistency with minor discrepancies in classification outcomes.

CONCLUSION

The PopPK model of PMB is well-suited for critically ill patients. The 75 mg q12h and 100 mg q12h regimens are appropriate for critically ill patients, with CrCL levels guiding individualized dosing. A two-point sampling strategy can be used for routine therapeutic drug monitoring (TDM) of PMB.

摘要

目的

基于稳态谷浓度(C)和峰浓度(C)建立多粘菌素B(PMB)在重症患者中的群体药代动力学(PopPK)模型,优化给药方案,并评估基于模型的方法与两点(C和C)法在24小时稳态浓度-时间曲线下面积(AUC)估计值之间的一致性。

方法

使用NONMEM进行PopPK建模,采用蒙特卡洛模拟优化PMB给药方案。采用Bland-Altman分析评估两种AUC估计方法之间的一致性。

结果

共纳入95例患者,提供了214份血样,分为建模组(n = 80)和验证组(n = 15)。建立了一个一室模型,确定肌酐清除率(CrCL)和血小板计数(PLT)为影响药代动力学参数的显著协变量。模拟结果表明,当最低抑菌浓度(MIC)≤0.5 mg·L时,除每12小时50 mg(q12h)维持剂量组外,所有组的目标达成概率(PTA)≥90%。PTA随CrCL升高而降低,在不同PLT水平上观察到轻微差异。75 mg和100 mg q12h组在治疗窗内的AUC比例较高。Bland-Altman分析显示两种AUC估计方法之间的平均偏差为12.98 mg·h·L。Kappa检验(κ = 0.51,P < 0.001)和McNemar检验(P = 0.33)显示中度一致性,反映了分类结果总体一致但存在微小差异。

结论

PMB的PopPK模型适用于重症患者。75 mg q12h和100 mg q12h方案适用于重症患者,CrCL水平指导个体化给药。两点采样策略可用于PMB的常规治疗药物监测(TDM)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9c6/11936910/ec820b92fcbf/fphar-16-1511088-g001.jpg

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