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Performance of Various Testing Methodologies for Detection of Heteroresistant Vancomycin-Intermediate Staphylococcus aureus in Bloodstream Isolates

Overview of attention for article published in Journal of Clinical Microbiology, January 2011
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Title
Performance of Various Testing Methodologies for Detection of Heteroresistant Vancomycin-Intermediate Staphylococcus aureus in Bloodstream Isolates
Published in
Journal of Clinical Microbiology, January 2011
DOI 10.1128/jcm.02302-10
Pubmed ID
Authors

Sebastian J. van Hal, Michael C. Wehrhahn, Thelma Barbagiannakos, Joanne Mercer, Dehua Chen, David L. Paterson, Iain B. Gosbell

Abstract

The best screening method for detecting heteroresistant vancomycin-intermediate Staphylococcus aureus (hVISA) remains unclear. Using population analysis profiling utilizing the area under the concentration-time curve (PAP-AUC) as the gold standard, we screened 458 consecutive methicillin-resistant S. aureus (MRSA) bloodstream isolates to determine the most accurate and cost-effective testing strategy to detect the presence of heteroresistance. All isolates were also tested using the macromethod Etest (MET) and glycopeptide resistance detection (GRD) Etest. The MIC was determined by several methods, including standard vancomycin Etest, vancomycin broth microdilution (BMD), and Vitek2 testing. Fifty-five (12%) hVISA and 4 (1%) VISA isolates were detected by PAP-AUC. Compared to PAP-AUC, the sensitivities and specificities of MET, GRD Etest, BMD (using a MIC cutoff of ≥ 2 mg/liter), and standard vancomycin Etest (using a MIC cutoff of ≥ 2 mg/liter) were 89 and 55%, 71 and 94%, 82 and 97%, and 71 and 94%, respectively. Combination testing increased the overall testing accuracy by reducing the number of false-positive results. Cost was determined predominately by the number of PAP-AUC runs required following a screening assay. The most cost-effective strategy was BMD (using a MIC cutoff of ≥ 2 μg/ml) as a standalone assay or in combination with PAP-AUC, provided that BMD testing was batched. GRD Etest remained an alternative, with 71% of hVISA isolates detected. Prevalence influenced both cost and test accuracy, with results remaining unchanged for hVISA prevalences of up to 25%. Implementation of any testing strategy would therefore be dependent on balancing cost with accuracy in a given population and clinical context.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Brazil 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 10 15%
Professor 6 9%
Student > Ph. D. Student 5 7%
Student > Postgraduate 5 7%
Other 12 18%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 23 34%
Immunology and Microbiology 7 10%
Biochemistry, Genetics and Molecular Biology 6 9%
Agricultural and Biological Sciences 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 7%
Unknown 19 28%
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 17 January 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Clinical Microbiology
#12,613
of 14,317 outputs
Outputs of similar age
#154,592
of 194,177 outputs
Outputs of similar age from Journal of Clinical Microbiology
#79
of 95 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,317 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 8th percentile – i.e., 8% 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 194,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.