Population pharmacokinetics of flucloxacillin as intermittent bolus infusion in patients with Staphylococcus aureus bloodstream infection.


Journal

The Journal of antimicrobial chemotherapy
ISSN: 1460-2091
Titre abrégé: J Antimicrob Chemother
Pays: England
ID NLM: 7513617

Informations de publication

Date de publication:
01 Jul 2024
Historique:
received: 13 12 2023
accepted: 06 06 2024
medline: 1 7 2024
pubmed: 1 7 2024
entrez: 1 7 2024
Statut: aheadofprint

Résumé

Optimal antibiotic dosing for Staphylococcus aureus bloodstream infections (BSI) is still controversial. One reason is inter-individual variation in pharmacokinetics, which may be influenced by various patient-related factors, particularly in critically ill patients. To describe the population pharmacokinetics (PopPK) of the antibiotic flucloxacillin in patients with S. aureus BSI. Subsequently, we sought to translate the model into a user-friendly app for generating a priori and a posteriori time-concentration curves and dose recommendations to optimize dosing regimens. Total and unbound flucloxacillin concentrations were included from 49 patients from a prospective cohort study conducted during clinical routine, including non-critically ill and critically ill individuals who received intermittent bolus applications. These data were analysed using non-linear mixed-effects modelling. Most patients (98%) were treated with 2 g of flucloxacillin every 4 h. We developed a joint model that simultaneously described total and unbound concentrations. The model included an allometric effect of glomerular filtration rate on clearance and albumin on the albumin dissociation constant. The latter was especially important, as in our population the unbound fraction was higher at 11.5% (16.7% for critically ill patients) compared with reported values of approximately 5%. Based on our joint model, we developed a web-based app for optimizing dosing regimens of flucloxacillin. By utilizing data from clinical routine, we were able to create a predictive PopPK model of flucloxacillin and identify influential covariates. The web-based app is currently being validated in a clinical trial.

Sections du résumé

BACKGROUND BACKGROUND
Optimal antibiotic dosing for Staphylococcus aureus bloodstream infections (BSI) is still controversial. One reason is inter-individual variation in pharmacokinetics, which may be influenced by various patient-related factors, particularly in critically ill patients.
OBJECTIVES OBJECTIVE
To describe the population pharmacokinetics (PopPK) of the antibiotic flucloxacillin in patients with S. aureus BSI. Subsequently, we sought to translate the model into a user-friendly app for generating a priori and a posteriori time-concentration curves and dose recommendations to optimize dosing regimens.
METHODS METHODS
Total and unbound flucloxacillin concentrations were included from 49 patients from a prospective cohort study conducted during clinical routine, including non-critically ill and critically ill individuals who received intermittent bolus applications. These data were analysed using non-linear mixed-effects modelling.
RESULTS RESULTS
Most patients (98%) were treated with 2 g of flucloxacillin every 4 h. We developed a joint model that simultaneously described total and unbound concentrations. The model included an allometric effect of glomerular filtration rate on clearance and albumin on the albumin dissociation constant. The latter was especially important, as in our population the unbound fraction was higher at 11.5% (16.7% for critically ill patients) compared with reported values of approximately 5%. Based on our joint model, we developed a web-based app for optimizing dosing regimens of flucloxacillin.
CONCLUSIONS CONCLUSIONS
By utilizing data from clinical routine, we were able to create a predictive PopPK model of flucloxacillin and identify influential covariates. The web-based app is currently being validated in a clinical trial.

Identifiants

pubmed: 38946285
pii: 7701985
doi: 10.1093/jac/dkae207
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Laura Hermann (L)

Division of Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital Bern, Bern, Switzerland.

Verena Schöning (V)

Division of Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital Bern, Bern, Switzerland.

Sarah Dräger (S)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.

Katharina Rentsch (K)

Division of Laboratory Medicine, University Hospital Basel, Basel, Switzerland.

Stephan Moser (S)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.

Nicolas Gürtler (N)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Parham Sendi (P)

Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.
Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Michael Osthoff (M)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.
Department of Internal Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland.

Felix Hammann (F)

Division of Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital Bern, Bern, Switzerland.

Classifications MeSH