JOURNAL ARTICLE

Optimal dosage regimens of cefiderocol administered by short, prolonged or continuous infusion: a PK/PD simulation study.

  • Published In: Journal of Antimicrobial Chemotherapy (JAC), 2025, v. 80, n. 3. P. 726 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Goutelle, Sylvain; Ammour, Najib; Ferry, Tristan; Schramm, Frédéric; Lepeule, Raphael; Friggeri, Arnaud 3 of 3

Abstract

This article focuses on evaluating alternative dosing regimens of cefiderocol, an intravenous antibiotic used to treat multidrug-resistant Gram-negative infections, through pharmacokinetic/pharmacodynamic (PK/PD) simulations. The study compares the approved prolonged infusion (PI) of 3 hours with short infusion (SI, 1 hour) and continuous infusion (CI) regimens across different levels of renal function, assessing drug concentrations in plasma and epithelial lining fluid (ELF) relevant to bloodstream infections and pneumonia, respectively. Results indicate that while recommended PI regimens achieve adequate target attainment in plasma, higher doses and continuous infusion are necessary to reach pharmacodynamic targets in ELF, especially for patients with normal or augmented renal clearance and pneumonia. The authors suggest that SI and CI regimens may be viable alternatives to PI, with CI potentially offering advantages in pneumonia treatment, but emphasize the need for further clinical evaluation.

Additional Information

  • Source:Journal of Antimicrobial Chemotherapy (JAC). 2025/03, Vol. 80, Issue 3, p726
  • Document Type:Article
  • Subject Area:Pharmacy and Pharmacology
  • Publication Date:2025
  • ISSN:0305-7453
  • DOI:10.1093/jac/dkae464
  • Accession Number:184039985
  • 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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