Evidence map›Paper›PMID 36307183›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Meropenem population pharmacokinetics and model-based dosing optimisation in patients with serious bacterial infection.

Irena Murínová, Martin Švidrnoch, Tomáš Gucký, David Řezáč, Jan Hlaváč, Ondřej Slanař, Martin Šíma

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In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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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 2 institutions in 1 country.

Irena MurínováDepartment of Clinical Pharmacy, Military University Hospital Prague, Prague, Czech Republic.
Martin ŠvidrnochLaboratory of Pharmacology and Toxicology, AGEL Laboratories, Nový Jičín, Czech Republic.
Tomáš GuckýLaboratory of Pharmacology and Toxicology, AGEL Laboratories, Nový Jičín, Czech Republic.
David ŘezáčDepartment of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czech Republic.
Jan HlaváčDepartment of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Ondřej SlanařDepartment of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Martin ŠímaDepartment of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic martin.sima@lf1.cuni.cz.ORCID 0000-0002-6541-738X
Charles University · CZMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to develop a population pharmacokinetic model of meropenem in a heterogeneous population of patients with a serious bacterial infection in order to propose dosing optimisation leading to improved achievement of the pharmacokinetic/pharmacodynamic (PK/PD) target.

methodsA total of 174 meropenem serum levels obtained from 144 patients during therapeutic drug monitoring were analysed using a non-linear mixed-effects modelling approach and Monte Carlo simulation was then used to compare various dosing regimens in order to optimise PK/PD target attainment.

resultsThe meropenem volume of distribution of the patient population was 54.95 L, while clearance started at 3.27 L/hour and increased by 0.91 L/hour with each 1 mL/s/1.73 m

conclusionsA daily meropenem dose of 3 g, 6 g and 10.5 g administered by continuous infusion was shown to be accurate for patients with moderate to severe renal impairment, normal renal function to mild renal impairment and augmented renal clearance, respectively.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsMeropenemModels, BiologicalAdultAgedAged, 80 and overDose-Response Relationship, DrugDrug MonitoringFemaleHumansInfusions, IntravenousMaleMiddle AgedMonte Carlo MethodAnti-Bacterial AgentsMeropenemadministration, intravenouscritical caredrug monitoringpharmacy service, hospitalpractice guideline

Identifiers

PMID36307183
PMCPMC11042353
OpenAlexW4307475903

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.