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Carbapenem-resistant Enterobacteriaceae: a review of treatment and outcomes

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van Duin, David, Kaye, Keith S., Neuner, Elizabeth A., Bonomo, Robert A.·2013·Diagnostic Microbiology and Infectious Disease

Abstract

The emergence of carbapenem resistance in Enterobacteriaceae is an important threat to global health. Reported outcomes of infections with carbapenem-resistant Enterobacteriaceae (CRE) are poor. Very few options remain for the treatment of these virulent organisms. Antibiotics which are currently in use to treat CRE infections include aminoglycosides, polymyxins, tigecycline, fosfomycin, and temocillin. In addition, the role of combination therapy, including carbapenem containing regimens, remains to be defined. There are several important concerns regarding all of these treatment options such as limited efficacy, increasing reports of resistance, and specific toxicities. Data from retrospective studies favor combination therapy over single-agent therapy for the treatment of CRE bloodstream infections. In summary, new antibiotics are greatly needed, as is additional prospective research.

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Metadata

Authors
van Duin, D., Kaye, K. S., Neuner, E. A., & Bonomo, R. A.
Venue
Diagnostic Microbiology and Infectious Disease
Publisher
Elsevier BV
Published
2013-02
Volume
75
Issue
2
Pages
115-120
ISSN
0732-8893 (ISSN-L)
OpenAlex
W2021439166
Cited by
352
References
0
FWCI
13.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Carbapenem-resistant Enterobacteriaceae: a review of treatment and outcomes. https://app.cochat.ai/papers/10.1016/j.diagmicrobio.2012.11.009
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van Duin, D., Kaye, K. S., Neuner, E. A., & Bonomo, R. A. (2013). Carbapenem-resistant Enterobacteriaceae: a review of treatment and outcomes. Diagnostic Microbiology and Infectious Disease. https://doi.org/10.1016/j.diagmicrobio.2012.11.009

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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.