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The goal of this study is to learn about the real wold behavior of developed machine learning models that predict the plasma concentration of piperacillin-tazobactam and meropenem in critically ill patients admitted to the intensive care unit (ICU).
The main aim of the study is to validate the performance of these machine learning models. To this end, daily measured plasma concentrations of the investigated antimicrobials will be compared with the predicted concentration by the machine learning algorithms.
Additional goals of the study include:
Samples (where possible taken routinely) from participating patients will be analyzed for meropenem and piperacillin-tazobactam plasma concentration. Participating physicians will be asked to fill in a short daily questionnaire during the time a patient under their care is treated with the antimicrobial under investigation.
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Consultants and physicians in training
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Interventional model
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600 participants in 2 patient groups
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Central trial contact
Thomas De Corte, MD
Data sourced from clinicaltrials.gov
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