Evidence map›Paper›PMID 41632735›Full record

ReviewChemotherapy2026

Can Model-Informed Precision Dosing of Beta-Lactams in Critical Care Improve Clinical Outcomes?

Robert Oakley, Marta Ulldemolins, Maria Patricia Hernández Mitre, Manuel Colmenero, Natasha Roberts, Jason Roberts, Jeffrey Lipman, Aaron Heffernan

Abstract readReview
In one paragraph

Review in Chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
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. Review
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

8 authors.

Robert OakleyUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Marta UlldemolinsUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Maria Patricia Hernández MitreUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Manuel ColmeneroUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Natasha RobertsUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Jason RobertsUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Jeffrey LipmanUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
Aaron HeffernanUniversity of Queensland Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia, aaron.heffernan@health.qld.gov.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Background: Critically ill patients exhibit acute physiological changes leading to marked antibiotic exposure variability and an increased probability of either subtherapeutic or potentially toxic exposures. Beta-lactam antibiotics are often affected by these physiological changes, leading to variable and often subtherapeutic exposures. Therefore, methods to increase the probability of a therapeutic exposure may be beneficial for critically ill patients. Model Informed Precision Dosing (MIPD) is an emerging strategy using advanced computer models to individualise dosing in this vulnerable population with or without therapeutic drug monitoring (TDM). By tailoring therapy to the individual patient scenario, MIPD aims to improve clinical outcomes by enhancing the likelihood of effective and safe therapy. Summary: MIPD-guided beta-lactam antibiotic dosing may improve the probability of attaining target therapeutic exposures and clinical cure rates compared to standard fixed dosing in critically ill patients. Moreover, MIPD allows clinicians to target higher beta-lactam antibiotic exposures while minimising the risk of toxicity, when the goal of treatment is both improving clinical cure rates and suppressing the probability of antibiotic resistance emergence. No differences in mortality and adverse event reduction compared to standard dosing have been currently identified in the literature. However, the exact potential of MIPD has yet to be determined given the significant limitations in the current evidence base, including heterogeneous study designs, small sample sizes, inconsistent implementation strategies, and variable outcome definitions. Clinical practice and future research should optimise MIPD performance by selecting appropriate and innovative beta-lactam antibiotic exposure models, as well as identify methods to instigate early MIPD dosing and timely TDM dose adjustments. This may further improve clinical and economic outcomes for critically ill patients. Key Messages: MIPD is a clinical decision making tool that uses pharmacokinetic modelling to guide beta-lactam dosing, with or without TDM input. A small number of observational and randomised beta-lactam MIPD intervention studies suggest that clinical outcomes for critically ill patients are improved. Technical, casemix, implementation, and study design limitations likely contribute to inconsistent findings in studies comparing MIPD to standard care. Stronger signals in improved outcomes are correlated with appropriate pharmacokinetic model and pharmacokinetic/pharmacodynamic (PK/PD) target selection, accompanied with timely dose adjustments in critically ill patients with significant pharmacokinetic variability and/or complex pharmacodynamic profiles. Future studies should more robustly define key features that will optimise patient outcomes including: optimal target exposure, characteristics of patients most likely to benefit, preferred minimum inhibitory concentration (MIC) parameter, favoured beta-lactam infusion duration, MIPD technical and implementation factors, and study design elements. </p>.

Indexed as

Anti-Bacterial Agentsbeta-LactamsCritical Carebeta Lactam AntibioticsCritical IllnessDose-Response Relationship, DrugDrug MonitoringHumansPrecision MedicineTreatment OutcomeAnti-Bacterial Agentsbeta Lactam Antibioticsbeta-LactamsBeta-lactam antibioticCritical illnessDose optimisationModel-informed precision dosingTherapeutic drug monitoring

Identifiers

PMID41632735
PMCPMC13128166

What OpenQuestion holds

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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.