Journal article
Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis
MG Chai, Q Tu, MO Cotta, MJ Bauer, R Balch, C Okafor, T Comans, P Kruger, J Meyer, K Shekar, K Brady, C Fourie, N Sharp, L Vlad, D Whiley, JPJ Ungerer, BC Mcwhinney, A Farkas, DL Paterson, JE Clark Show all
Intensive Care Medicine | Published : 2024
Abstract
Purpose: Early recognition and effective treatment of sepsis improves outcomes in critically ill patients. However, antibiotic exposures are frequently suboptimal in the intensive care unit (ICU) setting. We describe the feasibility of the Bayesian dosing software Individually Designed Optimum Dosing Strategies (ID-ODS™), to reduce time to effective antibiotic exposure in children and adults with sepsis in ICU. Methods: A multi-centre prospective, non-randomised interventional trial in three adult ICUs and one paediatric ICU. In a pre-intervention Phase 1, we measured the time to target antibiotic exposure in participants. In Phase 2, antibiotic dosing recommendations were made using ID-ODS™..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
The authors would like to thank the patients and families for consenting to participate in this study. In addition, we would like to acknowledge the support provided by the intensive care clinical pharmacy team at the Royal Brisbane and Women's Hospital, The Princess Alexandra Hospital, The Prince Charles Hospital and Queensland Children's Hospital. The authors would like to acknowledge Scott Beatson for his valuable contribution to the original design of the study.