Evidence map›Paper›PMID 42497383›Full record

ArticleThe Journal of antimicrobial chemotherapy2026

Predictive performance of an antibiotic precision dosing software program in critically ill adults with infection.

Paul Williams, Menino Osbert Cotta, Kathryn Wilks, Andras Farkas, Tim Spelman, Jason A Roberts

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Paul WilliamsFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences (HMBS), The University of Queensland, Brisbane, Australia.ORCID 0000-0002-4867-4456
Menino Osbert CottaFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences (HMBS), The University of Queensland, Brisbane, Australia.ORCID 0000-0002-2058-2314
Kathryn WilksInfectious Diseases Department, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Andras FarkasDepartment of Pharmacy, Cooperman Barnabas Medical Center, 94 Old Short Hills Road, Livingston, NJ 07039, USA.
Tim SpelmanDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Jason A RobertsFrazer Institute, Faculty of Health, Medicine and Behavioural Sciences (HMBS), The University of Queensland, Brisbane, Australia.

Funding

Advancing Queensland Clinical FellowshipAustralian National Health and Medical Research Council for a Centre of Research Excellence APP2007007Investigator Grant APP2009736Sunshine Coast Hospital and Health Service Study Education Research Trust Fund (SERTF)Wishlist
6 · The paper itself

Abstract

backgroundCritically ill patients exhibit altered pharmacokinetics, rendering antibiotic dosing challenging. Achieving therapeutic antibiotic exposures may be improved with the use of precision dosing software programs.

objectivesTo quantify and compare both a priori and a posteriori predictive performance of an antibiotic precision dosing software program in a heterogenous cohort of critically ill adults with infection.

methodsThe precision dosing program, ID-ODSTM, was used to predict a priori and a posteriori concentrations for piperacillin, meropenem, cefepime, flucloxacillin and vancomycin using clinical and demographic data derived from a previous study in critically ill adults (GUIDE trial). Predicted concentrations were compared to observed concentrations using pre-specified acceptance criteria (median predictive error (MDPE) ≤20% and median absolute predictive error (MDAPE) ≤30%), along with F20 and F30 metrics. Furthermore, the impact of predictions on theoretical dosing recommendations to achieve pre-defined drug exposures was assessed.

resultsThe a priori predictive performance in 81 patients administered beta-lactams did not meet any pre-specified acceptance criteria (pooled MDPE -35% and MDAPE 58%). However, all beta-lactams met accuracy acceptance criteria for the a posteriori approach (pooled MDPE -3.6%), although only cefepime demonstrated acceptable precision and F20 and F30 acceptance. In 25 patients administered vancomycin, a priori predictive performance met all acceptance criteria for accuracy and precision.When assessing a priori theoretical dosing recommendation concordance, approximately one in three predictions led to an unnecessary dosing action. Concordance was similar with an a posteriori approach, however, overprediction was observed in 20% of meropenem predictions.

conclusionsIn a heterogenous adult ICU population, the a priori predictive performance of vancomycin was shown to be acceptable. Conversely, the a priori predictive performance for the beta-lactams was not acceptable. Although predictive performance improved with the a posteriori approach for beta-lactams, only cefepime met acceptance criteria.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsCritical IllnessSoftwareAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedAnti-Bacterial Agents

Identifiers

PMID42497383
PMCPMC13399157

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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.