Predicting Beta-Lactam Target Non-Attainment in ICU Patients at Treatment Initiation: Development and External Validation of Three Novel (Machine Learning) Models

Predicting Beta-Lactam Target Non-Attainment in ICU Patients at Treatment Initiation: Development and External Validation of Three Novel (Machine Learning) Models

In the intensive care unit (ICU), infection-related mortality is high. Although adequate antibiotic treatment is essential in infections, beta-lactam target non-attainment occurs in up to 45% of ICU patients, which is associated with a lower likelihood of clinical success. To optimize antibiotic tre...

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Bibliographic Details
Main Authors: André Wieringa, Tim M. J. Ewoldt, Ravish N. Gangapersad, Matthias Gijsen, Nestor Parolya, Chantal J. A. R. Kats, Isabel Spriet, Henrik Endeman, Jasper J. Haringman, Reinier M. van Hest, Birgit C. P. Koch, Alan Abdulla
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Antibiotics
Subjects:
target attainment
risk model
beta-lactams
penicillin
cephalosporin
carbapenem
Online Access:https://www.mdpi.com/2079-6382/12/12/1674

Internet

https://www.mdpi.com/2079-6382/12/12/1674

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