Population Pharmacokinetics of Imipenem in Solid Tumor Patients with Infections: A Real-World Study.

IF 3.2 3区 医学 Q2 INFECTIOUS DISEASES
Tingting Xu, Tingting Zou, Junyan Zhang, Zhuoran Li, Fangyu Li, Juan Du, Zhiying Hao
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引用次数: 0

Abstract

Objectives: To characterize the population pharmacokinetics (PPK) of imipenem in critically ill solid tumor patients and to optimize dosing regimens through pharmacodynamic analysis.

Methods: A PPK model was developed using nonlinear mixed-effects modeling (Monolix 2023R1) based on 25 critically ill solid tumor patients with infections. Model selection used objective function value (OFV), Akaike/Bayesian information criteria(AIC/BIC), and goodness-of-fit diagnostics. Covariate screening involved a dual-algorithm approach (SAMBA and COSSAC) for validation. Monte Carlo simulations (n=10,000) evaluated the probability of target attainment (PTA) for 100% fT>MIC across different renal function groups.

Results: A linear one-compartment model best described imipenem pharmacokinetics. Typical population estimates were clearance (CL) = 2.7 L/h and volume of distribution (Vd) = 10.6L-significantly lower than values reported in general critical care populations. Creatinine clearance (CLCR) and septic shock were identified as significant covariates affecting CL. Severe malnutrition contributed to reduced Vd. Simulations revealed: For MIC ≤2 mg·L⁻¹, 500 mg q6h achieved PTA >90% when CLCR >30 mL/min; for MIC=4 mg·L⁻¹, 1000 mg q6h was required for patients with CLCR >60 mL/min (PTA=94.9-100%); no regimen achieved PTA >20% for MIC ≥16 mg·L⁻¹.

Conclusion: This study highlights the significant effect of specific pathophysiological changes in solid tumor patients (such as cachexia-induced reduction in volume of distribution) on drug disposition, providing essential evidence for informing personalized imipenem dosing in this vulnerable group to improve efficacy and reduce resistance risks.

亚胺培南在实体瘤感染患者中的群体药代动力学:一项现实世界研究。
目的:研究亚胺培南在危重型实体瘤患者的群体药代动力学(PPK),并通过药效学分析优化给药方案。方法:采用非线性混合效应模型(Monolix 2023R1)建立25例感染重症实体瘤患者的PPK模型。模型选择采用目标函数值(OFV)、赤池/贝叶斯信息准则(AIC/BIC)和拟合优度诊断。协变量筛选涉及双算法方法(SAMBA和COSSAC)进行验证。蒙特卡罗模拟(n=10,000)评估了不同肾功能组100% fT>MIC的目标实现概率(PTA)。结果:线性单室模型最能描述亚胺培南的药代动力学。典型人群估计值为清除率(CL) = 2.7 L/h,分布体积(Vd) = 10.6L,显著低于一般重症监护人群报告的值。肌酐清除率(CLCR)和感染性休克被确定为影响CL的重要协变量。严重营养不良导致Vd降低。模拟显示:麦克风≤2 mg·L⁻¹,500毫克q6h实现PTA > 90% CLCR > 30毫升/分钟;对于MIC=4 mg·L -1, CLCR≤60 mL/min的患者需要1000 mg / h (PTA=94.9-100%);对于MIC≥16 mg·L的患者,没有任何一种治疗方案能达到20%的PTA毒血症。结论:本研究突出了实体瘤患者特异性病理生理变化(如恶病质诱导的分布体积减少)对药物配置的显著影响,为该弱势群体个体化亚胺培南给药以提高疗效、降低耐药风险提供了重要依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of global antimicrobial resistance
Journal of global antimicrobial resistance INFECTIOUS DISEASES-PHARMACOLOGY & PHARMACY
CiteScore
8.70
自引率
2.20%
发文量
285
审稿时长
34 weeks
期刊介绍: The Journal of Global Antimicrobial Resistance (JGAR) is a quarterly online journal run by an international Editorial Board that focuses on the global spread of antibiotic-resistant microbes. JGAR is a dedicated journal for all professionals working in research, health care, the environment and animal infection control, aiming to track the resistance threat worldwide and provides a single voice devoted to antimicrobial resistance (AMR). Featuring peer-reviewed and up to date research articles, reviews, short notes and hot topics JGAR covers the key topics related to antibacterial, antiviral, antifungal and antiparasitic resistance.
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