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Blood and sputum eosinophils in COPD; relationship with bacterial load

Overview of attention for article published in Respiratory Research, May 2017
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7 X users

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101 Dimensions

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91 Mendeley
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Title
Blood and sputum eosinophils in COPD; relationship with bacterial load
Published in
Respiratory Research, May 2017
DOI 10.1186/s12931-017-0570-5
Pubmed ID
Authors

Umme Kolsum, Gavin C. Donaldson, Richa Singh, Bethan L. Barker, Vandana Gupta, Leena George, Adam J. Webb, Sarah Thurston, Anthony J Brookes, Timothy D. McHugh, Jadwiga A. Wedzicha, Christopher E. Brightling, Dave Singh

Abstract

Sputum and blood eosinophil counts predict corticosteroid effects in COPD patients. Bacterial infection causes increased airway neutrophilic inflammation. The relationship of eosinophil counts with airway bacterial load in COPD patients is uncertain. We tested the hypothesis that bacterial load and eosinophil counts are inversely related. COPD patients were seen at stable state and exacerbation onset. Sputum was processed for quantitative polymerase chain reaction detection of the potentially pathogenic microorganisms (PPM) H. influenzae, M. catarrhalis and S. pneumoniae. PPM positive was defined as total load ≥1 × 10(4)copies/ml. Sputum and whole blood were analysed for differential cell counts. At baseline, bacterial counts were not related to blood eosinophils, but sputum eosinophil % was significantly lower in patients with PPM positive compared to PPM negative samples (medians: 0.5% vs. 1.25% respectively, p = 0.01). Patients with PPM positive samples during an exacerbation had significantly lower blood eosinophil counts at exacerbation compared to baseline (medians: 0.17 × 10(9)/L vs. 0.23 × 10(9)/L respectively, p = 0.008), while no blood eosinophil change was observed with PPM negative samples. These findings indicate an inverse relationship between bacterial infection and eosinophil counts. Bacterial infection may influence corticosteroid responsiveness by altering the profile of neutrophilic and eosinophilic inflammation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 13%
Other 11 12%
Student > Ph. D. Student 9 10%
Student > Bachelor 7 8%
Student > Master 5 5%
Other 18 20%
Unknown 29 32%
Readers by discipline Count As %
Medicine and Dentistry 31 34%
Immunology and Microbiology 7 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Nursing and Health Professions 4 4%
Other 7 8%
Unknown 33 36%
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 August 2017.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Respiratory Research
#1,416
of 3,062 outputs
Outputs of similar age
#160,024
of 324,786 outputs
Outputs of similar age from Respiratory Research
#48
of 74 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 51% 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 324,786 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 74 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.