Truong Anh Quan, Smeets Tim J L, Terrier Jean, Li Letao, Dao Xuan Co, Strojil Jan, Preijers Tim, Koch Birgit C P, Huttner Angela, Sassen Sebastiaan D T
Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands; Rotterdam Clinical Pharmacometrics Group, Rotterdam, The Netherlands; National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.
Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands; Rotterdam Clinical Pharmacometrics Group, Rotterdam, The Netherlands.
Clin Microbiol Infect. 2025 Sep;31(9):1518-1525. doi: 10.1016/j.cmi.2025.05.005. Epub 2025 May 9.
A number of population pharmacokinetic (popPK) models of imipenem in critically ill patients are available for dosing optimization, but they represent only a narrow range of kidney functions. This study evaluates the target attainment of on-label regimens through popPK modelling and simulation in patients across different kidney functions.
A popPK model was built based on two datasets from Switzerland (model development population, 151 patients, 322 concentrations) and externally validated on two datasets from the Czech Republic (19 patients, 111 concentrations) and Vietnam (43 patients, 85 concentrations). Monte Carlo simulations were performed to evaluate the probability of target attainment from a MIC of 0.125 mg/L to 32 mg/L. We estimated the cumulative fraction of response against Pseudomonas aeruginosa (the epidemiological cut-off value was 4 mg/L) across a broad range of Cockcroft-Gault creatinine clearance values (CL 15-130 mL/min). Targets of 40% and 100%ƒT > MIC (percentage of dosing interval estimated free concentrations above MIC) were investigated.
Decreased kidney function estimated glomerular filtration rate by the Chronic Kidney Disease Epidemiology Collaboration 2021 (eGFR <90 mL/min) was observed in 70 of 151 patients (46.4%) within the model development population, and in 11 of 19 (57.9%) and 24 of 43 (55.8%) patients in the Czech Republic and Vietnam, respectively. CL significantly influenced the imipenem clearance described by a two-compartment model. For probability of target attainment, all regimens achieved 40% ƒT > MIC. With a 100%ƒT > MIC target, 500 mg q6h (CL 30-60 mL/min) could only cover an MIC of up to 1 mg/L, irrespective of infusion time. For cumulative fraction of response, no dosing regimen could cover susceptible P. aeruginosa for 100%ƒT > MIC.
The highest on-label imipenem dosing regimens failed to attain 100% ƒT > MIC in patients with decreased kidney function. Higher dosing may be necessary to cover MIC of 4 mg/L. Future trials should explore their efficacy, toxicity, and the utility of model-informed precision dosing in this population.
已有一些针对重症患者的亚胺培南群体药代动力学(popPK)模型用于剂量优化,但这些模型仅涵盖了较窄范围的肾功能情况。本研究通过popPK建模和模拟评估不同肾功能患者中标签给药方案的目标达成情况。
基于来自瑞士的两个数据集建立了一个popPK模型(模型开发人群,151例患者,322个血药浓度),并在来自捷克共和国(19例患者,111个血药浓度)和越南(43例患者,85个血药浓度)的两个数据集上进行了外部验证。进行蒙特卡洛模拟以评估从最低抑菌浓度(MIC)为0.125 mg/L至32 mg/L时目标达成的概率。我们在广泛的Cockcroft-Gault肌酐清除率值(CL 15 - 130 mL/min)范围内估计了针对铜绿假单胞菌的累积反应分数(流行病学截断值为4 mg/L)。研究了40%和100%ƒT > MIC(给药间隔期间估计的游离浓度高于MIC的百分比)的目标。
在模型开发人群的151例患者中有70例(46.4%)观察到根据2021年慢性肾脏病流行病学协作组估计的肾功能下降(估算肾小球滤过率[eGFR]<90 mL/min),在捷克共和国的19例患者中有11例(57.9%),在越南的43例患者中有24例(55.8%)。CL显著影响了由二室模型描述的亚胺培南清除率。对于目标达成概率,所有给药方案均实现了40%ƒT > MIC。以100%ƒT > MIC为目标时,无论输注时间如何,500 mg q6h(CL 30 - 60 mL/min)仅能覆盖最高至1 mg/L的MIC。对于累积反应分数,没有给药方案能够在100%ƒT > MIC时覆盖对铜绿假单胞菌敏感的情况。
标签上最高的亚胺培南给药方案在肾功能下降的患者中未能达到100%ƒT > MIC。可能需要更高的剂量来覆盖4 mg/L的MIC。未来的试验应探索其在该人群中的疗效、毒性以及模型指导的精准给药的实用性。