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Host and Pathogen Biomarkers for Severe Pseudomonas aeruginosa Infections

Overview of attention for article published in Journal of Infectious Diseases, March 2017
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4 X users

Citations

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187 Mendeley
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Title
Host and Pathogen Biomarkers for Severe Pseudomonas aeruginosa Infections
Published in
Journal of Infectious Diseases, March 2017
DOI 10.1093/infdis/jiw299
Pubmed ID
Authors

Carlos Juan, Carmen Peña, Antonio Oliver

Abstract

Pseudomonas aeruginosa is among the leading causes of severe nosocomial infections, particularly affecting critically ill and immunocompromised patients. Here we review the current knowledge on the factors underlying the outcome of P. aeruginosa nosocomial infections, including aspects related to the pathogen, the host, and treatment. Intestinal colonization and previous use of antibiotics are key risk factors for P. aeruginosa infections, whereas underlying disease, source of infection, and severity of acute presentation are key host factors modulating outcome; delayed adequate antimicrobial therapy is also independently associated with increased mortality. Among pathogen-related factors influencing the outcome of P. aeruginosa infections, antibiotic resistance, and particularly multidrug-resistant profiles, is certainly of paramount relevance, given its obvious effect on the chances of appropriate empirical therapy. However, the direct impact of antibiotic resistance in the severity and outcomes of P. aeruginosa infections is not yet well established. The interplay between antibiotic resistance, virulence, and the concerning international high-risk clones (such as ST111, ST175, and ST235) still needs to be further analyzed. On the other hand, differential presence or expression of virulence factors has been shown to significantly impact disease severity and mortality. The likely more deeply studied P. aeruginosa virulence determinant is the type III secretion system (T3SS); the production of T3SS cytotoxins, and particularly ExoU, has been well established to determine a worse outcome both in respiratory and bloodstream infections. Other relevant pathogen-related biomarkers of severe infections include the involvement of specific clones or O-antigen serotypes, the presence of certain horizontally acquired genomic islands, or the expression of other virulence traits, such as the elastase. Finally, recent data suggest that host genetic factors may also modulate the severity of P. aeruginosa infections.

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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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 187 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 16%
Student > Master 30 16%
Researcher 21 11%
Student > Bachelor 15 8%
Student > Doctoral Student 14 7%
Other 30 16%
Unknown 47 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 24%
Immunology and Microbiology 33 18%
Medicine and Dentistry 22 12%
Agricultural and Biological Sciences 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 16 9%
Unknown 52 28%
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 11 May 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from Journal of Infectious Diseases
#11,770
of 14,797 outputs
Outputs of similar age
#170,101
of 322,922 outputs
Outputs of similar age from Journal of Infectious Diseases
#68
of 110 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,797 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one is in the 19th percentile – i.e., 19% 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 322,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.