Evidence map›Paper›PMID 40884551›Full record

ArticleEuropean journal of clinical pharmacology2025

Population pharmacokinetics and pharmacodynamics of meropenem in critically ill patients with renal impairment or on continuous renal replacement therapy.

Chen Feng, Jiangyujing Bian, Yuchen Qu, Yunli Yu, Yueyuan Wang, Xin Du, Yewen Sun, Guanjun Wang, Jiao Xu, Jianjun Zhu and 1 more

Abstract read
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In one paragraph

Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

11 authors.

Chen Feng *Department of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Jiangyujing Bian *Department of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Yuchen QuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Yunli YuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Yueyuan WangDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Xin DuDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Yewen SunDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Guanjun WangDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Jiao XuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China.
Jianjun ZhuDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China. zjj_66164560@suda.edu.cn.
Jie PanDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou City, 215004, Jiangsu, China. panzy1122@163.com.

Funding

Hunan Provincial Key Laboratory of Anti-Resistance Microbial Drugs 2023TP1013Jiangsu Pharmaceutical Association- Ao Sai Kang Hospital Pharmacy Foundation A202226National Natural Science Foundation of China 82173879National Natural Science Foundation of China 82304610Natural Science Foundation of the Colleges and Universities in Jiangsu Province 23KJD350003Suzhou Health Workforce Program GSWS2022040the Discipline Promotion Program of the Second Affiliated Hospital of Soochow University XKTJ- XK202406
6 · The paper itself

Abstract

purposeThis study aimed to characterize the pharmacokinetics (PK) of meropenem in patients with renal impairment or on continuous renal replacement therapy (CRRT), investigate the factors contributing to PK variability, and evaluate the performance of different dosing regimens to optimize the pharmacokinetics/pharmacodynamics PK/PD) targets.

methodsThis study enrolled patients with severe infections and renal impairment who received meropenem treatment at the Second Affiliated Hospital of Soochow University. Participants were grouped according to whether CRRT was used. Meropenem concentrations were quantified using liquid chromatography-tandem mass spectrometry (LC/MS-MS). A population pharmacokinetic (PPK) model for meropenem was developed using a nonlinear mixed-effects modeling (NONMEM) approach. Monte Carlo simulations were performed to evaluate the likelihood of achieving PK/PD targets and the risk of adverse events across various dosing regimens.

resultsA total of 54 patients were included in the study. A two-compartment model was used as a structural model and CRRT was identified as a significant covariate of clearance (CL). The estimated typical value of CL was 2.47 L/h. Under physiological conditions, renal impairment usually leads to a decrease in meropenem clearance. Compared with patients with renal impairment (estimated glomerular filtration rate < 45 mL/min/1.73 m

conclusionsThe study identified that CRRT significantly affected the exposure of meropenem in patients with renal impairment. Therefore, individualized medication for CRRT patients is of great importance.

Indexed as

Anti-Bacterial AgentsContinuous Renal Replacement TherapyMeropenemModels, BiologicalRenal InsufficiencyAdultAgedCritical IllnessFemaleHumansMaleMiddle AgedMonte Carlo MethodAnti-Bacterial AgentsMeropenemContinuous renal replacement therapyMeropenemMonte Carlo simulationPopulation pharmacokinetics

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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.