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Profiles of responses of immunological factors to different subtypes of Kawasaki disease

Overview of attention for article published in BMC Musculoskeletal Disorders, October 2015
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Title
Profiles of responses of immunological factors to different subtypes of Kawasaki disease
Published in
BMC Musculoskeletal Disorders, October 2015
DOI 10.1186/s12891-015-0744-6
Pubmed ID
Authors

Yan Ding, Gang Li, Li-Juan Xiong, Wei Yin, Jie Liu, Fan Liu, Rui-Geng Wang, Kun Xia, Shu-Ling Zhang, Lei Zhao

Abstract

The responses of immunological factors to different subtypes of Kawasaki disease (KD) remain poorly understood. We recruited 388 patients with KD, 160 patients with infectious febrile disease and 85 normal children who served as control subjects. Both the levels and percentages of T lymphocyte subsets, natural killer cells (NK cells) and B cells were analyzed via flow cytometry. The levels of serum IgG, IgM, IgA and C3, C4 were assessed via velocity scatter turbidimetry. The most significant differences noted between the patients with infectious febrile disease and the normal children were the elevated levels of B cells, C3 and the ratio of CD4/CD8, and the decreased levels of CD8+ T cells and NK cells, as well as the moderate increase in the absolute value of the CD3+ cells. The decreased T cell levels and the elevated B cell levels were helpful in distinguishing typical KD from atypical KD; the elevated T cell levels, the elevated NK cell and B cell levels and the decreased B cell levels were helpful in predicting the effectiveness of IVIG; low C3 and C4 levels were linked with prodromal infections. Lymphocytes subsets and complement markers may be useful in differentiating among the different subtypes of KD and in helping clinicians understand the pathophysiology of KD.

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The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Researcher 3 16%
Student > Postgraduate 2 11%
Student > Bachelor 2 11%
Lecturer 1 5%
Other 4 21%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Agricultural and Biological Sciences 2 11%
Nursing and Health Professions 2 11%
Computer Science 2 11%
Immunology and Microbiology 1 5%
Other 0 0%
Unknown 6 32%
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 27 October 2015.
All research outputs
#14,827,682
of 22,831,537 outputs
Outputs from BMC Musculoskeletal Disorders
#2,299
of 4,045 outputs
Outputs of similar age
#156,880
of 283,600 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#52
of 80 outputs
Altmetric has tracked 22,831,537 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 4,045 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 39th percentile – i.e., 39% 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 283,600 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 80 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.