Evidence map›Paper›PMID 35947360›Full record

ArticleClinical pharmacokinetics2022

Prediction of Tissue Exposures of Meropenem, Colistin, and Sulbactam in Pediatrics Using Physiologically Based Pharmacokinetic Modeling.

Shixing Zhu, Jiayuan Zhang, Zhihua Lv, Peijuan Zhu, Charles Oo, Mingming Yu, Sherwin K B Sy

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Article in Clinical pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  2. Optimization of pediatric dosing regimens for aztreonam and amoxicillin/clavulanate combination therapy against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

7 authors at 4 institutions in 3 countries.

Shixing ZhuSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, People's Republic of China.
Jiayuan ZhangSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, People's Republic of China.
Zhihua LvSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, People's Republic of China.
Peijuan ZhuDepartment of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA.
Charles OoSunLife Biopharma, Morris Plains, NJ, USA.
Mingming YuSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, People's Republic of China. yumingming@ouc.edu.cn.
Sherwin K B SyDepartment of Statistics, State University of Maringá, Maringá, Paraná, Brazil. sherwin.kenneth.sy@gmail.com.ORCID 0000-0001-6405-9130
Ocean University of China · CNQingdao National Laboratory for Marine Science and Technology · CNUniversidade Estadual de Maringá · BRUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combination of polymyxins, meropenem, and sulbactam demonstrated efficacy against multi-drug-resistant bacillus Acinetobacter baumannii. These three antibiotics are commonly used against major blood, skin, lung, and heart muscle infections.

objectiveThe objective of this study was to predict drug disposition and extrapolate the efficacy in these tissues using a physiologically based pharmacokinetic modeling approach that linked drug exposures to their target pharmacodynamic indices associated with antimicrobial activities against A. baumannii.

methodsAn adult physiologically based pharmacokinetic model was developed for meropenem, colistin, and sulbactam and scaled to pediatrics accounting for both renal and non-renal clearances. The model reliability was evaluated by comparing simulated plasma and tissue drug exposures to observed data. Target pharmacodynamic indices were used to evaluate whether pediatric and adult dosing regimens provided sufficient coverage.

resultsThe modeled plasma drug exposures in adults and pediatric patients were consistent with reported literature data. The mean fold errors for meropenem, colistin, and sulbactam were in the range of 0.710-1.37, 0.981-1.47, and 0.647-1.39, respectively. Simulated exposures in the blood, skin, lung, and heart were consistent with reported penetration rates. In a virtual pediatric population aged from 2 to < 18 years, the interpretive breakpoints were achieved in 85-90% of subjects for their targeted pharmacodynamic indices after administration of pediatric dosing regimens consisting of 30 mg/kg of meropenem, and 40 mg/kg of sulbactam three times daily as a 3-h or continuous infusion and 5 mg/kg/day of colistin base activity.

conclusionsThe physiologically based pharmacokinetic modeling supports pediatric dosing regimens of meropenem/colistin/sulbactam in a co-administration setting against infections in the blood, lung, skin, and heart tissues due to A. baumannii.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsAdultAnti-Bacterial AgentsChildColistinHumansMeropenemReproducibility of ResultsSulbactamAnti-Bacterial AgentsColistinMeropenemSulbactam

Identifiers

PMID35947360
OpenAlexW4292466580

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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.