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Integration of metabolic and inflammatory mediator profiles as a potential prognostic approach for septic shock in the intensive care unit

Overview of attention for article published in Critical Care, December 2015
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Title
Integration of metabolic and inflammatory mediator profiles as a potential prognostic approach for septic shock in the intensive care unit
Published in
Critical Care, December 2015
DOI 10.1186/s13054-014-0729-0
Pubmed ID
Authors

Beata Mickiewicz, Patrick Tam, Craig N Jenne, Caroline Leger, Josee Wong, Brent W Winston, Christopher Doig, Paul Kubes, Hans J Vogel

Abstract

Septic shock is a major life-threatening condition in critically ill patients and it is well known that early recognition of septic shock and expedient initiation of appropriate treatment improves patient outcome. Unfortunately, to date no single compound has shown sufficient sensitivity and specificity to be used as a routine biomarker for early diagnosis and prognosis of septic shock in the intensive care unit (ICU). Therefore, the identification of new diagnostic tools remains a priority for increasing the survival rate of ICU patients. In this study, we have evaluated whether a combined nuclear magnetic resonance spectroscopy-based metabolomics and a multiplex cytokine/chemokine profiling approach could be used for diagnosis and prognostic evaluation of septic shock patients in the ICU. Serum and plasma samples were collected from septic shock patients and ICU controls (ICU patients with the systemic inflammatory response syndrome but not suspected of having an infection). (1)H Nuclear magnetic resonance spectra were analyzed and quantified using the targeted profiling methodology. The analysis of the inflammatory mediators was performed using human cytokine and chemokine assay kits. By using multivariate statistical analysis we were able to distinguish patient groups and detect specific metabolic and cytokine/chemokine patterns associated with septic shock and its mortality. These metabolites and cytokines/chemokines represent candidate biomarkers of the human response to septic shock and have the potential to improve early diagnosis and prognosis of septic shock. Our findings show that integration of quantitative metabolic and inflammatory mediator data can be utilized for the diagnosis and prognosis of septic shock in the ICU.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Australia 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Researcher 22 16%
Student > Master 13 10%
Other 10 7%
Student > Doctoral Student 10 7%
Other 27 20%
Unknown 30 22%
Readers by discipline Count As %
Medicine and Dentistry 53 39%
Agricultural and Biological Sciences 16 12%
Biochemistry, Genetics and Molecular Biology 9 7%
Immunology and Microbiology 5 4%
Nursing and Health Professions 4 3%
Other 10 7%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 May 2015.
All research outputs
#14,914,476
of 25,374,647 outputs
Outputs from Critical Care
#4,913
of 6,554 outputs
Outputs of similar age
#195,489
of 395,408 outputs
Outputs of similar age from Critical Care
#411
of 466 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 24th percentile – i.e., 24% 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 395,408 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.