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Cited by 406

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Impact of multidrug-resistant Pseudomonas aeruginosa infection on patient outcomes

Open access
Hirsch, Elizabeth B, Tam, Vincent H·2010·Expert Review of Pharmacoeconomics & Outcomes Research

Abstract

Rates of antibiotic resistance in Pseudomonas aeruginosa are increasing worldwide. The multidrug-resistant (MDR) phenotype in P. aeruginosa could be mediated by several mechanisms including multidrug efflux systems, enzyme production, outer membrane protein (porin) loss and target mutations. Currently, no international consensus on the definition of multidrug resistance exists, making direct comparison of the literature difficult. Inappropriate empirical therapy has been associated with increased mortality in P. aeruginosa infections; delays in starting appropriate therapy may contribute to increased length of hospital stay and persistence of infection. In addition, worse clinical outcomes may be associated with MDR infections owing to limited effective antimicrobial options. This article aims to summarize the contemporary literature on patient outcomes following infections caused by drug-resistant P. aeruginosa. The impact of antimicrobial therapy on patient outcomes, mortality and morbidity; and the economic impact of MDR P. aeruginosa infections will be examined.

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Metadata

Authors
Hirsch, E. B., & Tam, V. H.
Venue
Expert Review of Pharmacoeconomics & Outcomes Research
Published
2010-08
Volume
10
Issue
4
Pages
441-451
ISSN
  • 1473-7167 (ISSN-L)
  • 1744-8379
OpenAlex
W2033235589
Cited by
406
References
63
FWCI
4.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Impact of multidrug-resistant Pseudomonas aeruginosa infection on patient outcomes. https://app.cochat.ai/papers/10.1586/erp.10.49
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Hirsch, E. B., & Tam, V. H. (2010). Impact of multidrug-resistant Pseudomonas aeruginosa infection on patient outcomes. Expert Review of Pharmacoeconomics & Outcomes Research. https://doi.org/10.1586/erp.10.49

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.