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Cited by 344

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

The Epidemiological Profile of Infections with Multidrug-Resistant Pseudomonas aeruginosa and Acinetobacter Species

Paterson, David L.·2006·Clinical Infectious Diseases

Abstract

Isolates of Pseudomonas aeruginosa or Acinetobacter species that are resistant to all, or almost all, commercially available antibiotics are now prevalent worldwide. Typically, these strains are recovered from patients in intensive care units who have ventilator-associated pneumonia. "Panresistant" strains can be defined as strains that are resistant to all beta -lactam and quinolone antibiotics recommended as empirical therapy for ventilator-associated pneumonia. These strains are well adapted to the hospital environment--molecular epidemiological studies have frequently revealed that only 1 or 2 clones caused outbreaks in intensive care units. However, panresistant strains may also be selected by antibiotic use. Given the lack of antibiotic options to treat infection with panresistant strains, enhanced surveillance for these organisms is necessary at unit-specific, institutional, and national levels.

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Metadata

Authors
Paterson, D. L.
Venue
Clinical Infectious Diseases
Published
2006-09-01
Volume
43
Issue
Supplement_2
Pages
S43-S48
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2070633956
Cited by
344
References
36
FWCI
13.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Epidemiological Profile of Infections with Multidrug-Resistant Pseudomonas aeruginosa and Acinetobacter Species. https://app.cochat.ai/papers/10.1086/504476
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Paterson, D. L. (2006). The Epidemiological Profile of Infections with Multidrug-Resistant Pseudomonas aeruginosa and Acinetobacter Species. Clinical Infectious Diseases. https://doi.org/10.1086/504476

Data sources

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.