Evidence map›Paper›PMID 40703354›Full record

ArticleFrontiers in pharmacology2025

Population pharmacokinetic analysis of remimazolam after continuous infusion for sedation in critically ill patients.

Jingchun Chen, Xipei Wang, Dong Chen, Xiaolong Liu, Kaiyi Peng, Ruizheng Tang, Linhui Hu, Yirong Wang, Yunpeng Bai, Lin Chang and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
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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.

Jingchun Chen *Department of Critical Care Medicine, Shenzhen People's Hospital (The First Affliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, China.
Xipei Wang *Research Center of Medical Sciences, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Dong Chen *School of Medicine, South China University of Technology, Guangzhou, China.
Xiaolong Liu *Guangdong Provincial Key Laboratory of Clinical Pharmacology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Kaiyi PengDepartment of Critical Care Medicine, Maoming People's Hospital, Maoming, China.
Ruizheng TangDepartment of Critical Care Medicine, Maoming People's Hospital, Maoming, China.
Linhui HuDepartment of Critical Care Medicine, Maoming People's Hospital, Maoming, China.
Yirong WangGuangdong Provincial Key Laboratory of Clinical Pharmacology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yunpeng BaiDepartment of Pharmacy, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.
Lin ChangYichang Humanwell Pharmaceutical Co. Ltd., Yichang, China.
Chunbo ChenDepartment of Critical Care Medicine, Shenzhen People's Hospital (The First Affliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of the present prospective study was to model the population pharmacokinetics of remimazolam after continuous infusion in critically ill patients, and to provide a guide for remimazolam administration based on simulations that were conducted. Patients and methods: A total of 32 critically ill patients were enrolled in this study, with 236 plasma concentration data ultimately included for modeling. Plasma concentrations of remimazolam were quantified by a validated high-performance liquid chromatography-tandem mass spectrometry method, and the data were analyzed using non-linear mixed effect modeling. Concentration-time curves of remimazolam at different induction and maintenance doses were simulated and context-sensitive decrement times (CSDTs) were calculated using Monte Carlo simulations. Results: A two-compartment model appropriately described the concentration-time profile of remimazolam in critically ill patients. The elimination clearance, volume of the central compartment, volume of the peripheral compartment, and peripheral compartmental clearance were estimated to be 58.2 L/h (95% CI, 47.8-72.3 L/h), 25.5 L (95% CI, 16.8-33.3 L), 34.5 L (95% CI, 26.0-58.8 L) and 21.9 L/h (95% CI, 12.2-34.6 L/h), respectively. No covariates significantly influenced the pharmacokinetic parameters of remimazolam. Internal validation proved the reliable predictive performance of the model. The CSDTs of remimazolam (10%-90%) was independent of the infusion time. Conclusion: Remimazolam showed a predictable pharmacokinetic profile and was demonstrated to be suitable for long-term sedation in the intensive care unit, with dose adjustments only required dependent on the degree of the sedative effect.

Indexed as

context-sensitive decrement timescritically ill patientspopulation pharmacokineticsremimazolamsedation

Identifiers

PMID40703354
PMCPMC12283299

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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.