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Clinical and treatment-related risk factors for nosocomial colonisation with extensively drug-resistant Pseudomonas aeruginosa in a haematological patient population: a matched case control study

Overview of attention for article published in BMC Infectious Diseases, December 2014
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4 X users

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43 Mendeley
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Title
Clinical and treatment-related risk factors for nosocomial colonisation with extensively drug-resistant Pseudomonas aeruginosa in a haematological patient population: a matched case control study
Published in
BMC Infectious Diseases, December 2014
DOI 10.1186/s12879-014-0650-9
Pubmed ID
Authors

Matthias Willmann, Anna M Klimek, Wichard Vogel, Jan Liese, Matthias Marschal, Ingo B Autenrieth, Silke Peter, Michael Buhl

Abstract

BackgroundThis study aimed to investigate risk factors for colonisation with extensively drug-resistant P. aeruginosa (XDR-PA) in immunocompromised patients and to build a clinical risk score (CRS) based on these results.MethodsWe conducted a matched case¿control study with 31 cases and 93 controls (1:3). Cases were colonised with XDR-PA during hospitalisation. Independent risk factors were determined using a three step conditional logistic regression procedure. A CRS was built with respect to the corresponding risk fraction of each risk factor, and its discriminatory power was estimated by receiver operating characteristic (ROC) analysis.ResultsThe presence of a central venous catheter (OR 7.41, P¿=¿0.0008), the presence of a urinary catheter (OR 21.04, P¿<¿0.0001), CRP¿>¿10 mg/dl (OR 7.36, P¿=¿0.0015), and ciprofloxacin administration (OR 5.53, P¿=¿0.025) were independent risk factors. The CRS exhibited a high discriminatory power, defining a high risk population with an approximately fourteen times greater risk for XDR-PA colonisation.ConclusionsUnnecessary use of antibiotics, particularly ciprofloxacin should be avoided, and a high standard of infection control measures must be achieved when using medical devices. A CRS can be used for adaptation of the active screening culture policy to the local setting.

X Demographics

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The data shown below were collected from the profiles of 4 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Bachelor 7 16%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Student > Ph. D. Student 4 9%
Other 9 21%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 19 44%
Nursing and Health Professions 5 12%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 4 9%
Unknown 7 16%
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 24 October 2015.
All research outputs
#14,792,181
of 22,774,233 outputs
Outputs from BMC Infectious Diseases
#4,067
of 7,668 outputs
Outputs of similar age
#203,057
of 361,216 outputs
Outputs of similar age from BMC Infectious Diseases
#94
of 194 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,668 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 42nd percentile – i.e., 42% 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 361,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 194 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.