↓ Skip to main content

Systemic Inflammatory Responses in Ulcerative Colitis Patients and Clostridium difficile Infection

Overview of attention for article published in Digestive Diseases and Sciences, April 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
26 Mendeley
Title
Systemic Inflammatory Responses in Ulcerative Colitis Patients and Clostridium difficile Infection
Published in
Digestive Diseases and Sciences, April 2018
DOI 10.1007/s10620-018-5044-1
Pubmed ID
Authors

Julajak Limsrivilai, Krishna Rao, Ryan W. Stidham, Shail M. Govani, Akbar K. Waljee, Andrew Reinink, Laura Johnson, Emily Briggs, Peter D. R. Higgins

Abstract

Finding differences in systemic inflammatory response in ulcerative colitis (UC), UC with Clostridium difficile infection (CDI), and CDI could lead to a better ability to differentiate between UC with symptomatic CDI and UC with C. difficile colonization, and could identify specific inflammatory pathways for UC or CDI, which could be therapeutic targets. We prospectively collected sera from symptomatic UC patients whose stools were tested for toxigenic C. difficile, and from CDI patients who did not have UC (CDI-noUC). The UC patients with positive tests (UC-CDI) were further categorized into responders to CDI treatment (UC-CDI-R) and non-responders (UC-CDI-NR). We compared serum inflammatory mediators among groups using unadjusted and adjusted multivariable statistics. We included 117 UC [27 UC-CDI, 90 UC without CDI (UC-noCDI)] and 16 CDI-noUC patients. Principal component analysis (PCA) did not reveal significant differences either between UC-CDI and UC-noCDI groups, or between UC-CDI-R and UC-CDI-NR groups. In contrast, the PCA showed significant separation between the UC and CDI-noUC groups (P = 0.002). In these two groups, hepatocyte growth factor (HGF) and chemokine (C-C motif) ligand 2 (CCL2) levels were significantly lower and IL-23 levels were higher in UC patients in multivariable analyses. The model to distinguish UC from CDI including IL-23, HGF, CCL2, age, gender, and HGB had an AuROC of 0.93. Inflammatory profiles could not distinguish UC-CDI from UC-noCDI, and UC-CDI-R from UC-CDI-NR. However, the UC and CDI-noUC groups were significantly different. Future work should examine whether therapeutic agents inhibiting IL-23 or stimulating HGF can treat UC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Doctoral Student 3 12%
Lecturer 2 8%
Other 2 8%
Researcher 2 8%
Other 4 15%
Unknown 10 38%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Immunology and Microbiology 3 12%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 12%
Unknown 11 42%
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 17 April 2018.
All research outputs
#13,568,121
of 23,854,458 outputs
Outputs from Digestive Diseases and Sciences
#2,465
of 4,304 outputs
Outputs of similar age
#161,352
of 332,312 outputs
Outputs of similar age from Digestive Diseases and Sciences
#30
of 85 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 332,312 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 51% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.