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Genetic and Molecular Predictors of High Vancomycin MIC in Staphylococcus aureus Bacteremia Isolates

Overview of attention for article published in Journal of Clinical Microbiology, July 2014
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Title
Genetic and Molecular Predictors of High Vancomycin MIC in Staphylococcus aureus Bacteremia Isolates
Published in
Journal of Clinical Microbiology, July 2014
DOI 10.1128/jcm.01320-14
Pubmed ID
Authors

Natasha E. Holmes, John D. Turnidge, Wendy J. Munckhof, J. Owen Robinson, Tony M. Korman, Matthew V. N. O'Sullivan, Tara L. Anderson, Sally A. Roberts, Sanchia J. C. Warren, Geoffrey W. Coombs, Hui-Leen Tan, Wei Gao, Paul D. R. Johnson, Benjamin P. Howden

Abstract

Elevated vancomycin minimum inhibitory concentration (MIC) is associated with poor outcomes in Staphylococcus aureus bacteremia (SAB), and is reported in patients with methicillin-susceptible S. aureus (MSSA) bacteremia in the absence of vancomycin treatment. Here, using DNA microarray and phenotype analysis, we investigated genetic predictors and accessory gene regulator (agr) function and their relationship with elevated vancomycin MIC using blood culture isolates from a multi-center bi-national cohort of patients with SAB. Specific clonal complexes were associated with elevated (CC8 [p<0.001]) or low (CC22 [p<0.001], CC88 [p<0.001], CC188 [p=0.002]) vancomycin MIC. agr dysfunction (p=0.014) or agr genotype II (p=0.043) were also associated with elevated vancomycin MIC. Specific resistance and virulence genes were also linked to elevated vancomycin MIC, including blaZ (p=0.002), sea (p<0.001), clfA (p<0.001), splA (p=0.001) and the arginine catabolic mobile element (ACME) locus (p=0.02). These data suggest that inherent organism characteristics may explain the link between elevated vancomycin MIC and poor outcomes in patients with SAB, regardless of the antibiotic treatment received. Consideration of clonal specificity should be included in future research when attempting to ascertain treatment effect or clinical outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Master 6 15%
Professor 5 13%
Student > Ph. D. Student 4 10%
Student > Bachelor 3 8%
Other 9 23%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Immunology and Microbiology 10 25%
Agricultural and Biological Sciences 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 2 5%
Other 1 3%
Unknown 7 18%
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 25 August 2014.
All research outputs
#19,941,677
of 25,368,786 outputs
Outputs from Journal of Clinical Microbiology
#13,140
of 14,316 outputs
Outputs of similar age
#167,483
of 241,797 outputs
Outputs of similar age from Journal of Clinical Microbiology
#98
of 137 outputs
Altmetric has tracked 25,368,786 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 14,316 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.