Evidence map›Paper›PMID 37546521›Full record

Observational studyDrug design, development and therapy2023

Optimal Teicoplanin Dosage Regimens in Critically Ill Patients: Population Pharmacokinetics and Dosing Simulations Based on Renal Function and Infection Type.

Yifan Wang, Fen Yao, Shenglong Chen, Xin Ouyang, Jinhua Lan, Zheng Wu, Yirong Wang, Jingchun Chen, Xipei Wang, Chunbo Chen

Abstract readObservational Study
In one paragraph

Observational study in Drug design, development and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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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

10 authors.

Yifan Wang *Department of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, People's Republic of China.
Fen Yao *School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Shenglong ChenDepartment of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Xin OuyangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Jinhua LanDepartment of Pharmacy, General Hospital of Southern Theatre Command, Guangzhou, 510010, People's Republic of China.ORCID 0000-0003-3839-0772
Zheng WuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Yirong WangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Jingchun ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Xipei WangResearch Center of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Chunbo ChenDepartment of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a population pharmacokinetic model describing teicoplanin concentrations in patients hospitalized in intensive care unit (ICU) and to perform Monte Carlo simulations to provide detailed dosing regimens of teicoplanin. Methods: This single-center, prospective, observational study was conducted on 151 patients in ICU with 347 plasma samples. The population pharmacokinetics model was established and various covariates were evaluated. The probability of target attainment (PTA) of various proposal dosing regimens was calculated by Monte Carlo simulations. Results: The two-compartment model adequately described teicoplanin concentration-time data. The estimated glomerular filtration rate (eGFR) associated with systemic clearance (CL) was the only covariate included in the final model. The estimate of CL was 0.838 L/h, with the eGFR adjustment factor of 0.00823. The volume of the central compartment (V Conclusion: The most commonly used standard dosage regimen was insufficient for all ICU patients. Our study provided detailed dosing regimens of teicoplanin stratified by eGFR and types of infection for ICU patients.

Indexed as

Anti-Bacterial AgentsTeicoplaninCritical IllnessHumansKidneyMicrobial Sensitivity TestsProspective StudiesAnti-Bacterial AgentsTeicoplaninintensive care unitMonte Carlo simulationpharmacokineticsrenal functionteicoplanin

Identifiers

PMID37546521
PMCPMC10404122

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Registered trials

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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.