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Antimicrobial susceptibility testing in predicting the presence of carbapenemase genes in Enterobacteriaceae in South Africa

Overview of attention for article published in BMC Infectious Diseases, October 2016
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3 X users

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35 Dimensions

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98 Mendeley
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Title
Antimicrobial susceptibility testing in predicting the presence of carbapenemase genes in Enterobacteriaceae in South Africa
Published in
BMC Infectious Diseases, October 2016
DOI 10.1186/s12879-016-1858-7
Pubmed ID
Authors

Ashika Singh-Moodley, Olga Perovic

Abstract

Carbapenem-resistant Enterobacteriaceae (CRE) is a concern in South Africa and worldwide. It is therefore important that these organisms be accurately identified for infection prevention control purposes. In this study 1193 suspected CREs from 46 laboratories from seven provinces in South Africa were assessed to confirm the prevalence of carbapenemase genes from our referral diagnostic isolates for the period 2012 to 2015. We compared the antimicrobial susceptibility testing method used in the reference laboratory to the polymerase chain reaction (PCR) which is used as the gold standard. Organism identification and antimicrobial susceptibility testing were performed using automated systems and DNA was extracted using a crude boiling method. The presence of carbapenemase-producing genes (bla NDM, bla KPC, bla OXA-48&variants, bla GES, bla IMP and bla VIM) was screened for using a multiplex real-time PCR. Sixty-eight percent (n = 812) of the isolates harboured a carbapenemase-producing gene; the three most common genes included: bla NDM, bla OXA-48&variants and bla VIM. Majority of the carbapenemase producing Enterobacteriaceae (CPE) isolates were Klebsiella species (71 %). The Microscan® Walkaway system used for the screening of carbapenemase production was 98 % sensitive with a minimal inhibitory concentration (MIC) breakpoint of less than 0.5 as susceptible for ertapenem and a low specificity (13 %). From this study we can conclude that carbapenemase-producing Enterobacteriaceae is increasing in South Africa and the use of phenotypic methods for detection of CPEs showed good sensitivity but lacked specificity.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Student > Ph. D. Student 12 12%
Researcher 10 10%
Student > Postgraduate 9 9%
Student > Bachelor 5 5%
Other 12 12%
Unknown 36 37%
Readers by discipline Count As %
Immunology and Microbiology 19 19%
Medicine and Dentistry 15 15%
Agricultural and Biological Sciences 8 8%
Biochemistry, Genetics and Molecular Biology 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 7 7%
Unknown 38 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 May 2017.
All research outputs
#14,735,103
of 22,890,496 outputs
Outputs from BMC Infectious Diseases
#4,052
of 7,691 outputs
Outputs of similar age
#190,016
of 319,862 outputs
Outputs of similar age from BMC Infectious Diseases
#118
of 218 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,691 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 46th percentile – i.e., 46% 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 319,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.