Plasma protein binding of ceftriaxone in critically ill patients: can we predict unbound fractions?

Tim Ewoldt*, Soma Bahmany, Alan Abdulla, Anouk Muller, Rik Endeman, Birgit Koch

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
56 Downloads (Pure)

Abstract

BACKGROUND: Standard antibiotic dosing is not suitable for critically ill patients, due to altered pharmacokinetics (PK) in these patients. Knowledge of protein binding is important for optimizing antibiotic exposure because only the unbound fraction is pharmacologically active. If unbound fractions can be predicted, minimal sampling techniques and less costly methods can be routinely used. METHODS: Data from the DOLPHIN trial, a prospective randomized clinical trial that included critically ill patients, were used. Total and unbound ceftriaxone concentrations were determined using a validated UPLC-MS/MS method. A non-linear saturable binding model was made using 75% of the trough concentrations and validated on the remaining data. Our model and previously published models were tested for their performance for subtherapeutic (<1 mg/L) and high (>10 mg/L) unbound concentrations. RESULTS: In total, 113 patients were sampled [Acute Physiology And Chronic Health Evaluation version 4 (APACHE IV) score 71 (IQR 55-87), albumin 28 g/L (IQR 24-32)]. This resulted in 439 samples (trough = 224, peak = 215). Unbound fractions were significantly different between samples taken at trough and peak times [10.9% (IQR 7.9-16.4) versus 19.7% (IQR 12.9-26.6), P < 0.0001], which was not explained by concentration differences. Our model and most literature models showed good sensitivity and low specificity to determine high and subtherapeutic ceftriaxone trough concentrations using only the total ceftriaxone and albumin concentrations. CONCLUSIONS: Ceftriaxone protein binding is not concentration related in critically ill patients. Existing models show good ability to predict high concentrations, but low specificity in predicting subtherapeutic concentrations.

Original languageEnglish
Pages (from-to)1059-1065
Number of pages7
JournalJournal of Antimicrobial Chemotherapy
Volume78
Issue number4
DOIs
Publication statusPublished - 1 Apr 2023

Bibliographical note

Funding
This project has received funding from the Dutch Organization for Health Research and Development ZonMw (grant 848017008), Stichting de
Merel, and Erasmus MC MRace Grant. The funders of the study had no role in study design, data collection, data analysis, data interpretation
or writing of the report.

Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy.

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