Using machine learning to optimise antibiotic combinations: dosing strategies for meropenem and polymyxin B against carbapenem-resistant Acinetobacter baumannii

OBJECTIVE: Increased rates of carbapenem-resistant Acinetobacter baumannii has forced clinicians to rely upon last-line agents, such as the polymyxins, or empiric, un-optimized combination therapy. Therefore, the objectives of this study were to: (1) evaluate the in vitro pharmacodynamics of meropen...

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Détails bibliographiques
Publié dans:Clin Microbiol Infect
Auteurs principaux: Smith, Nicholas M., Lenhard, Justin R., Boissonneault, Katie Rose, Landersdorfer, Cornelia B., Bulitta, Jürgen B., Holden, Patricia N., Forrest, Alan, Nation, Roger L., Li, Jian, Tsuji, Brian T.
Format: Artigo
Langue:Inglês
Publié: 2020
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7587610/
https://ncbi.nlm.nih.gov/pubmed/32061797
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmi.2020.02.004
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