JOURNAL ARTICLE
Population pharmacokinetic/pharmacodynamic target attainment analysis of IV fosfomycin for the treatment of MDR Gram-negative bacterial infections.
Published In: Journal of Antimicrobial Chemotherapy (JAC), 2024, v. 79, n. 6. P. 1372 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Wangchinda, Walaiporn; Pogue, Jason M; Thamlikitkul, Visanu; Leelawattanachai, Pannee; Koomanachai, Pornpan; Pai, Manjunath P 3 of 3
Abstract
This article focuses on determining optimal intravenous (IV) fosfomycin dosing regimens for patients with multidrug-resistant (MDR) Gram-negative bacterial infections across varying levels of kidney function. Using population pharmacokinetic (PK) modeling and Monte Carlo simulations in 24 Thai patients, the study found that creatinine clearance (eCLCR) and gender significantly influence fosfomycin clearance. It proposes kidney function-adjusted dosing regimens, recommending 15 g/day for patients with normal kidney function (eCLCR 91–120 mL/min) to achieve ≥90% probability of target attainment (PTA) against Escherichia coli and Klebsiella pneumoniae with minimum inhibitory concentrations (MICs) ≤32 mg/L. The study also notes that higher doses may be necessary for Pseudomonas aeruginosa, though safety data are limited, and highlights a notable incidence of hypernatraemia associated with fosfomycin therapy, especially in patients with impaired kidney function or higher doses. These findings suggest that lower fosfomycin dosages than currently practiced may improve tolerability while maintaining efficacy, but clinical validation is needed.
Additional Information
- Source:Journal of Antimicrobial Chemotherapy (JAC). 2024/06, Vol. 79, Issue 6, p1372
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:0305-7453
- DOI:10.1093/jac/dkae111
- Accession Number:177611558
- Copyright Statement:Copyright of Journal of Antimicrobial Chemotherapy (JAC) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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