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Risk factors for acquisition of carbapenem resistant Enterobacteriaceae in an acute tertiary care hospital in Singapore

Overview of attention for article published in Antimicrobial Resistance and Infection Control, June 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 tweeters

Citations

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54 Dimensions

Readers on

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108 Mendeley
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Title
Risk factors for acquisition of carbapenem resistant Enterobacteriaceae in an acute tertiary care hospital in Singapore
Published in
Antimicrobial Resistance and Infection Control, June 2015
DOI 10.1186/s13756-015-0066-3
Pubmed ID
Authors

Moi Lin Ling, Yong Ming Tee, Soong Geck Tan, Ismawati M. Amin, Kue Bien How, Kwee Yuen Tan, Lai Chee Lee

Abstract

Carbapenem resistant Enterobacteriaceae (CRE) is increasingly reported worldwide. A similar increase is seen in Singapore since identification of its first case in 2008. The aim of this study was to identify local risk factors for carriage of CRE in patients from an acute tertiary care hospital in Singapore. A matched case-control study was conducted on inpatients treated from January 1, 2011 till December 31, 2013. Two hundred and three cases of CRE infection or colonization were matched with 203 controls. CRE types were identified by PCR. Statistical analysis of data including a multivariate logistic regression analysis was done using SPSS 21.0. CREs were commonly seen in Klebsiella pneumoniae (42.2 %), Escherichia coli (24.3 %) and Enterobacter cloacae complex (17.2 %) in the 268 isolates. NDM-1 was the commonest CRE type seen (44.4 %), followed by KPC (39.9 %) whilst OXA-48 only constituted (7.8 %). Univariate analysis identified key risk factors associated with CRE as history of previous overseas hospitalization (OR: 33.667; 95 % CI: 4.539-259.700), admission to ICU (OR: 11.899; 95 % CI: 4.986-28.399) and HD/ICA (OR: 6.557; 95 % CI: 4.057-10.596); whilst a multivariate analysis revealed exposure to antibiotics penicillin (OR: 4.640; 95 % CI: 1.529-14.079] and glycopeptide (OR: 5.162; 95 % CI: 1.377-19.346) and presence of central line device (OR: 3.117; 95 % CI: 1.167-8.330) as significant independent predictors. The identification of risk factors amongst our local population helped to refine the criteria used for target active surveillance screening for CRE amongst inpatients at time of hospital admission.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 107 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 19%
Researcher 18 17%
Student > Bachelor 13 12%
Other 11 10%
Student > Ph. D. Student 11 10%
Other 24 22%
Unknown 11 10%
Readers by discipline Count As %
Medicine and Dentistry 39 36%
Agricultural and Biological Sciences 9 8%
Nursing and Health Professions 8 7%
Immunology and Microbiology 8 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 14 13%
Unknown 24 22%

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 27 June 2015.
All research outputs
#2,279,304
of 5,281,486 outputs
Outputs from Antimicrobial Resistance and Infection Control
#137
of 204 outputs
Outputs of similar age
#78,203
of 185,606 outputs
Outputs of similar age from Antimicrobial Resistance and Infection Control
#18
of 31 outputs
Altmetric has tracked 5,281,486 research outputs across all sources so far. This one has received more attention than most of these and is in the 55th percentile.
So far Altmetric has tracked 204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 30th percentile – i.e., 30% 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 185,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.