Utilizing Monte Carlo Simulations to Optimize Institutional Empiric Antipseudomonal Therapy

Utilizing Monte Carlo Simulations to Optimize Institutional Empiric Antipseudomonal Therapy

Pseudomonas aeruginosa is a common pathogen implicated in nosocomial infections with increasing resistance to a limited arsenal of antibiotics. Monte Carlo simulation provides antimicrobial stewardship teams with an additional tool to guide empiric therapy. We modeled empiric therapies with antipseu...

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Bibliographic Details
Main Authors: Sarah J. Tennant, Donna R. Burgess, Jeffrey M. Rybak, Craig A. Martin, David S. Burgess
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Antibiotics
Subjects:
antimicrobial stewardship
pharmacodynamics
Pseudomonas aeruginosa
pharmacokinetics
modeling
Online Access:http://www.mdpi.com/2079-6382/4/4/643

Internet

http://www.mdpi.com/2079-6382/4/4/643

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