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Tracking post-infectious fatigue in clinic using routine Lab tests

Overview of attention for article published in BMC Pediatrics, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

blogs
1 blog
twitter
16 tweeters
facebook
6 Facebook pages
googleplus
1 Google+ user

Citations

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6 Dimensions

Readers on

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34 Mendeley
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Title
Tracking post-infectious fatigue in clinic using routine Lab tests
Published in
BMC Pediatrics, April 2016
DOI 10.1186/s12887-016-0596-8
Pubmed ID
Authors

Jeanna M. Harvey, Gordon Broderick, Alanna Bowie, Zachary M. Barnes, Ben Z. Katz, Maurice R. G. O’Gorman, Suzanne D. Vernon, Mary Ann Fletcher, Nancy G. Klimas, Renee Taylor

Abstract

While biomarkers for chronic fatigue syndrome (CFS) are beginning to emerge they typically require a highly specialized clinical laboratory. We hypothesized that subsets of commonly measured laboratory markers used in combination could support the diagnosis of post-infectious CFS (PI-CFS) in adolescents following infectious mononucleosis (IM) and help determine who might develop persistence of symptoms. Routine clinical laboratory markers were collected prospectively in 301 mono-spot positive adolescents, 4 % of whom developed CFS (n = 13). At 6, 12, and 24 months post-diagnosis with IM, 59 standard tests were performed including metabolic profiling, liver enzyme panel, hormone profiles, complete blood count (CBC), differential white blood count (WBC), salivary cortisol, and urinalysis. Classification models separating PI-CFS from controls were constructed at each time point using stepwise subset selection. Lower ACTH levels at 6 months post-IM diagnosis were highly predictive of CFS (AUC p = 0.02). ACTH levels in CFS overlapped with healthy controls at 12 months, but again showed a trend towards a deficiency at 24 months. Conversely, estradiol levels depart significantly from normal at 12 months only to recover at 24 months (AUC p = 0.02). Finally, relative neutrophil count showed a significant departure from normal at 24 months in CFS (AUC p = 0.01). Expression of these markers evolved differently over time between groups. Preliminary results suggest that serial assessment of stress and sex hormones as well as the relative proportion of innate immune cells measured using standard clinical laboratory tests may support the diagnosis of PI-CFS in adolescents with IM.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 5 15%
Student > Bachelor 4 12%
Student > Postgraduate 3 9%
Professor 2 6%
Other 9 26%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 6 18%
Agricultural and Biological Sciences 3 9%
Psychology 3 9%
Sports and Recreations 2 6%
Other 7 21%
Unknown 6 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 21 February 2017.
All research outputs
#1,069,874
of 15,917,790 outputs
Outputs from BMC Pediatrics
#124
of 2,007 outputs
Outputs of similar age
#24,977
of 266,034 outputs
Outputs of similar age from BMC Pediatrics
#1
of 1 outputs
Altmetric has tracked 15,917,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,007 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 93% of its peers.
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 266,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them