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Curbing Resistance Development:Maximizing the Utility of Available Agents

BACKGROUND: Ventilator-associated pneumonia (VAP) in hospital intensive care units (ICUs) is associated with high morbidity and mortality.Effective treatment of VAP can be challenging due to a high prevalence of Pseudomonas aeruginosa and multidrug-resistant (MDR) pathogens as causative organisms. O...

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Autor principal: Burgess, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Managed Care Pharmacy 2009
Materias:
Cea
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437894/
https://www.ncbi.nlm.nih.gov/pubmed/19505173
http://dx.doi.org/10.18553/jmcp.2009.15.s5.5
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author Burgess, David S.
author_facet Burgess, David S.
author_sort Burgess, David S.
collection PubMed
description BACKGROUND: Ventilator-associated pneumonia (VAP) in hospital intensive care units (ICUs) is associated with high morbidity and mortality.Effective treatment of VAP can be challenging due to a high prevalence of Pseudomonas aeruginosa and multidrug-resistant (MDR) pathogens as causative organisms. OBJECTIVES: To present the etiology of VAP in the United States (including national resistance trends of common nosocomial pathogens) and review dosing strategies aimed to optimize pharmacokinetic-pharmacodynamic parameters of antimicrobial agents. SUMMARY: The majority of nosocomial pneumonia cases are caused bygram-negative pathogens, most commonly P. aeruginosa, Enterobacterspp., A. baumannii, and K. pneumoniae. S. aureus is the most commongram-positive pathogen, with 55% of VAP isolates exhibiting methicillin resistance. Combination therapy is recommended when MDR pathogens and P. aeruginosa are suspected, although short-course therapy and deescalationshould be considered when appropriate to reduce the risk of resistance. Optimized dosing strategies are important in increasing the probability of achieving successful outcomes. For example, when administering intravenous β-lactam therapy, prolonged infusion can be effective in increasing the T greater than MIC. CONCLUSIONS: Clinicians need to be familiar with local antibiograms as well as regional resistance trends in order to choose appropriate therapy forVAP. Optimized dosing strategies can be effective in increasing the probability of attaining pharmacokinetic-pharmacodynamic targets predictive of successful clinical outcomes.
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spelling pubmed-104378942023-08-21 Curbing Resistance Development:Maximizing the Utility of Available Agents Burgess, David S. J Manag Care Pharm Cea BACKGROUND: Ventilator-associated pneumonia (VAP) in hospital intensive care units (ICUs) is associated with high morbidity and mortality.Effective treatment of VAP can be challenging due to a high prevalence of Pseudomonas aeruginosa and multidrug-resistant (MDR) pathogens as causative organisms. OBJECTIVES: To present the etiology of VAP in the United States (including national resistance trends of common nosocomial pathogens) and review dosing strategies aimed to optimize pharmacokinetic-pharmacodynamic parameters of antimicrobial agents. SUMMARY: The majority of nosocomial pneumonia cases are caused bygram-negative pathogens, most commonly P. aeruginosa, Enterobacterspp., A. baumannii, and K. pneumoniae. S. aureus is the most commongram-positive pathogen, with 55% of VAP isolates exhibiting methicillin resistance. Combination therapy is recommended when MDR pathogens and P. aeruginosa are suspected, although short-course therapy and deescalationshould be considered when appropriate to reduce the risk of resistance. Optimized dosing strategies are important in increasing the probability of achieving successful outcomes. For example, when administering intravenous β-lactam therapy, prolonged infusion can be effective in increasing the T greater than MIC. CONCLUSIONS: Clinicians need to be familiar with local antibiograms as well as regional resistance trends in order to choose appropriate therapy forVAP. Optimized dosing strategies can be effective in increasing the probability of attaining pharmacokinetic-pharmacodynamic targets predictive of successful clinical outcomes. Academy of Managed Care Pharmacy 2009-06 /pmc/articles/PMC10437894/ /pubmed/19505173 http://dx.doi.org/10.18553/jmcp.2009.15.s5.5 Text en Copyright © 2009, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cea
Burgess, David S.
Curbing Resistance Development:Maximizing the Utility of Available Agents
title Curbing Resistance Development:Maximizing the Utility of Available Agents
title_full Curbing Resistance Development:Maximizing the Utility of Available Agents
title_fullStr Curbing Resistance Development:Maximizing the Utility of Available Agents
title_full_unstemmed Curbing Resistance Development:Maximizing the Utility of Available Agents
title_short Curbing Resistance Development:Maximizing the Utility of Available Agents
title_sort curbing resistance development:maximizing the utility of available agents
topic Cea
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437894/
https://www.ncbi.nlm.nih.gov/pubmed/19505173
http://dx.doi.org/10.18553/jmcp.2009.15.s5.5
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