Evidence mapPaperPMID 39762592Full record

ArticleClinical pharmacokinetics2025

Physiologically Based Pharmacokinetic Model of Cefotaxime in Patients with Impaired Renal Function.

Fatima Zbib, Anthéa Deschamps, Lionel Velly, Olivier Blin, Romain Guilhaumou, Florence Gattacceca

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Article in Clinical pharmacokinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Fatima ZbibAix Marseille University, APHM, INSERM, Service de Pharmacologie Clinique et Pharmacosurveillance, INS Institute Neuroscience Syst, Marseille, France.
Anthéa DeschampsAix Marseille University, APHM, INSERM, Service de Pharmacologie Clinique et Pharmacosurveillance, INS Institute Neuroscience Syst, Marseille, France.
Lionel VellyAix Marseille University, APHM, Department of Anaesthesiology and Critical Care Medicine, University Hospital Timone, Marseille, France.
Olivier BlinAix Marseille University, APHM, INSERM, Service de Pharmacologie Clinique et Pharmacosurveillance, INS Institute Neuroscience Syst, Marseille, France.
Romain GuilhaumouAix Marseille University, APHM, INSERM, Service de Pharmacologie Clinique et Pharmacosurveillance, INS Institute Neuroscience Syst, Marseille, France. romain.guilhaumou@ap-hm.fr.ORCID 0000-0002-8344-412X
Florence GattaccecaInria-Inserm COMPO Team, Centre Inria Sophia Antipolis-Méditerranée, CRCM, Inserm U1068-CNRS UMR7258-Aix-Marseille University UM105, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCefotaxime is a widely prescribed cephalosporin antibiotic used to treat various infections. It is mainly eliminated unchanged by the kidney through tubular secretion and glomerular filtration. Therefore, a reduction of kidney function may increase exposure to the drug and induce toxic side effects.

objectivesThe objectives of this study were to develop a physiologically based pharmacokinetic (PBPK) model of cefotaxime in healthy European adults, to mechanistically describe the impact of chronic kidney disease (CKD) on cefotaxime pharmacokinetics, and to assess the applicability of the model to patients requiring intensive care.

methodsUsing PK-Sim

resultsModel predictions were considered adequate in healthy subjects and patients with CKD, with predicted-to-observed area under the curve ratios within the two-fold acceptance criterion. Mean prediction error and mean absolute prediction error did not exceed ± 30 and 30%, respectively, except in patients with stage 4 CKD, where they were 70.5 and 75.6%, respectively. The model showed good predictive performance when applied to patients requiring intensive care, but its clinical applicability in this population needs to be further evaluated.

conclusionWe successfully developed whole-body PBPK models to predict cefotaxime pharmacokinetics in different populations. These models represent an additional step toward improving personalized cefotaxime dosing regimens in vulnerable populations.

Indexed as

Anti-Bacterial AgentsCefotaximeModels, BiologicalRenal Insufficiency, ChronicAdultAgedFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedYoung AdultAnti-Bacterial AgentsCefotaxime

Identifiers

PMID39762592

What Socratic holds

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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 Socratic graph.