Evidence map›Paper›PMID 42666963›Full record

ArticleDrug design, development and therapy2026

Population Pharmacokinetic and Pharmacodynamic Analysis of Imipenem in Critically Ill Patients Receiving Continuous Renal Replacement Therapy.

Zhenzhen Qiao, Dandan Li, Shanmu Ai, Zhe Zhang, Yuanxiu Gan, Hongling Hu, Chunmei Luo, Ruli Mo, Jing Huang, Yao He and 2 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zhenzhen Qiao *Pharmacy Department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 400014, People's Republic of China.
Dandan Li *Pharmacy Department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 400014, People's Republic of China.
Shanmu Ai *Department of Emergency, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People's Republic of China.
Zhe ZhangDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China.
Yuanxiu GanDepartment of Critical Care Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People's Republic of China.
Hongling HuDepartment of Emergency, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People's Republic of China.
Chunmei LuoDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China.
Ruli MoDepartment of Critical Care Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People's Republic of China.
Jing HuangDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, 400037, People's Republic of China.
Yao HePharmacy Department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 400014, People's Republic of China.
Yang TaoDepartment of Critical Care Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People's Republic of China.
Xiaoyuan ZhengPharmacy Department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 400014, People's Republic of China.ORCID 0000-0003-4588-093X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Imipenem pharmacokinetics exhibit substantial variability in critically ill patients receiving continuous renal replacement therapy (CRRT) due to pathophysiological alterations and extracorporeal clearance, challenging empirical dosing strategies. Population pharmacokinetic studies specifically in critically ill patients receiving CRRT remain limited, and pharmacodynamic target attainment across different CRRT modalities has not been adequately characterized. As a hydrophilic β-lactam antibiotic with low protein binding and predominant renal elimination, imipenem is highly susceptible to pharmacokinetic alterations caused by CRRT and critical illness. In addition to increased capillary permeability and edema, factors such as fluid resuscitation, hypoalbuminemia, altered organ perfusion, and unstable renal function may further influence drug distribution and clearance. Objective: This study aims to develop a population pharmacokinetic (PopPK) model for imipenem in critically ill patients receiving CRRT and to evaluate the probability of target attainment (PTA) for achieving a 40% fT>MIC across various clinical scenarios and dosing regimens. Methods: Clinical data were retrospectively collected from 46 critically ill patients receiving CRRT, yielding a total of 560 plasma samples and 280 waste fluid samples. A PopPK model was developed using the nonlinear mixed-effects modelling (NONMEM) method, and statistically significant covariates were incorporated. Subsequently, Monte Carlo simulations (1000 virtual patients per dosing scenario) were performed to evaluate the pharmacodynamic target attainment of different dosing regimens across various levels of creatinine clearance (CrCl), pathogen minimum inhibitory concentrations (MIC), and CRRT modalities (CVVH and CVVHDF). Results: The pharmacokinetics of imipenem in critically ill patients receiving CRRT were best described by a two-compartment model. The typical population clearance and central volume of distribution were 6.08 L/h and 24.4 L, respectively. CrCl was identified as a significant covariate affecting imipenem clearance (2.1.1) in which CrCl was identified as a significant covariate affecting clearance. Monte Carlo simulations indicated that imipenem achieved satisfactory PTA across subgroups when MIC ≤ 2 mg/L. However, when MIC increased to 8 mg/L in the context of high clearance, dose escalation to 1 g q6h was required to ensure adequate target attainment. When MIC ≥ 16 mg/L, further dose intensification alone was insufficient to overcome the impact of enhanced drug clearance, and combination therapy should be considered. Conclusion: By developing a PopPK model for imipenem, this study confirmed the significant impact of CrCl on drug clearance in patients undergoing CRRT. These findings provide a theoretical basis for optimizing PK/PD target-oriented individualized dosing regimens in this patient population.

Indexed as

Anti-Bacterial AgentsContinuous Renal Replacement TherapyCritical IllnessImipenemModels, BiologicalRenal Replacement TherapyAgedDose-Response Relationship, DrugFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedMonte Carlo MethodRetrospective StudiesAnti-Bacterial AgentsImipenemcontinuous renal replacement therapycritically ill patientsimipenemMonte Carlo simulationpopulation pharmacokineticsprobability of target attainment

Identifiers

PMID42666963
PMCPMC13523873

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.