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Molecular characterization of multidrug-resistant Klebsiella pneumoniae isolates

Overview of attention for article published in Brazilian Journal of Microbiology, September 2015
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Title
Molecular characterization of multidrug-resistant Klebsiella pneumoniae isolates
Published in
Brazilian Journal of Microbiology, September 2015
DOI 10.1590/s1517-838246320140138
Pubmed ID
Authors

Xiang-hua Hou, Xiu-yu Song, Xiao-bo Ma, Shi-yang Zhang, Jia-qin Zhang

Abstract

Klebsiella pneumoniae is an important cause of healthcare-associated infections worldwide. Selective pressure, the extensive use of antibiotics, and the conjugational transmission of antibiotic resistance genes across bacterial species and genera facilitate the emergence of multidrug-resistant (MDR) K. pneumoniae. Here, we examined the occurrence, phenotypes and genetic features of MDR K. pneumoniae isolated from patients in intensive care units (ICUs) at the First Affiliated Hospital of Xiamen University in Xiamen, China, from January to December 2011. Thirty-eight MDR K. pneumoniae strains were collected. These MDR K. pneumoniae isolates possessed at least seven antibiotic resistance determinants, which contribute to the high-level resistance of these bacteria to aminoglycosides, macrolides, quinolones and β-lactams. Among these isolates, 24 strains were extended-spectrum β-lactamase (ESBL) producers, 2 strains were AmpC producers, and 12 strains were both ESBL and AmpC producers. The 38 MDR isolates also contained class I (28/38) and class II integrons (10/38). All 28 class I-positive isolates contained aacC1, aacC4, orfX, orfX' and aadA1 genes. β-lactam resistance was conferred through bla SHV (22/38), bla TEM (10/38), and bla CTX-M (7/38). The highly conserved bla KPC-2 (37/38) and bla OXA-23(1/38) alleles were responsible for carbapenem resistance, and a gyrAsite mutation (27/38) and the plasmid-mediated qnrB gene (13/38) were responsible for quinolone resistance. Repetitive-sequence-based PCR (REP-PCR) fingerprinting of these MDR strains revealed the presence of five groups and sixteen patterns. The MDR strains from unrelated groups showed different drug resistance patterns; however, some homologous strains also showed different drug resistance profiles. Therefore, REP-PCR-based analyses can provide information to evaluate the epidemic status of nosocomial infection caused by MDR K. pneumoniae; however, this test lacks the power to discriminate some isolates. Thus, we propose that both genotyping and REP-PCR typing should be used to distinguish genetic groups beyond the species level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 13%
Researcher 17 11%
Student > Master 17 11%
Student > Ph. D. Student 13 8%
Student > Doctoral Student 12 8%
Other 29 18%
Unknown 51 32%
Readers by discipline Count As %
Immunology and Microbiology 27 17%
Biochemistry, Genetics and Molecular Biology 23 14%
Medicine and Dentistry 15 9%
Agricultural and Biological Sciences 12 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 16 10%
Unknown 60 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2015.
All research outputs
#19,947,956
of 25,377,790 outputs
Outputs from Brazilian Journal of Microbiology
#824
of 1,377 outputs
Outputs of similar age
#189,785
of 276,791 outputs
Outputs of similar age from Brazilian Journal of Microbiology
#15
of 25 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,377 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.