Unknown

Dataset Information

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


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 wer

SUBMITTER: Ewoldt TMJ 

PROVIDER: S-EPMC10068419 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature