Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis

Ming G. Chai, Quyen Tu, Menino O. Cotta, Michelle J. Bauer, Ross Balch, Charles Okafor, Tracy Comans, Peter Kruger, Jason Meyer, Kiran Shekar, Kara Brady, Cheryl Fourie, Natalie Sharp, Luminita Vlad, David Whiley, Jacobus P. J. Ungerer, Brett C. Mcwhinney, Andras Farkas, David L. Paterson, Julia E. Clark, Krispin Hajkowicz, Sainath Raman, Seweryn Bialasiewicz, Jeffrey Lipman, Brian M. Forde, Patrick N. A. Harris, Luregn J. Schlapbach, Lachlan Coin, Jason A. Roberts & Adam D. Irwin. DOI ttps://doi.org/10.1007/s00134-024-07353-3

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.