| Title |
Asthma and Hypogammaglobulinemia: an Asthma Phenotype with Low Type 2 Inflammation
|
|---|---|
| Published in |
Journal of Clinical Immunology, October 2016
|
| DOI | 10.1007/s10875-016-0335-9 |
| Pubmed ID | |
| Authors |
Clairelyne Dupin, Sylvain Marchand-Adam, Olivier Favelle, Romain Costes, Philippe Gatault, Philippe Diot, Leslie Grammatico-Guillon, Laurent Guilleminault |
| Abstract |
Little is known about hypogammaglobulinemia (HGG) in asthma patients. No data are available on the characteristics of adult patients with asthma and HGG. We conducted a retrospective monocentric study between January 2006 and December 2012. Asthma patients with a serum immunoglobulin (Ig) quantitative analysis were included and classified into two groups depending on their serum IgG concentration: presence or absence of HGG. Clinical, biological, functional, and radiologic characteristics were compared in univariate and multivariate analysis, using a logistic regression model. In univariate analysis, asthma patients with HGG (n = 25) were older (58 years old ± 18 vs 49 ± 18, p = 0.04) and more frequently active or former smokers as compared to patients with normoglobulinemia (n = 80) (56.0 vs 35.0 %, p = 0.01). Total IgE < 30 kUI/L was more frequently observed in patients with HGG (53.0 vs 18.3 %, p = 0.01). HGG asthma patients had lower fraction of exhaled nitric oxide (p = 0.02), blood eosinophilia (p = 0.0009), and presented with more severe composite score for bronchiectasis (p = 0.01). In multivariate analysis, asthma patients with HGG had increased risk of being smokers [OR = 6.11 (IC 95 % = 1.16-32.04)], having total IgE concentration < 30 kUI/L [OR = 12.87 (IC 95 % = 2.30-72.15)], and a more severe composite score of bronchiectasis [OR = 20.65 (IC 95 % = 2.13-199.74)]. Asthma patients with HGG are older and more often tobacco smoker than asthma patients without HGG. These patients have low type-2 inflammation markers. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 15% |
| Other | 2 | 15% |
| Librarian | 1 | 8% |
| Researcher | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 31% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Immunology and Microbiology | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unknown | 5 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2017.
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#18,541,268
of 22,963,381 outputs
Outputs from Journal of Clinical Immunology
#1,137
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#242,606
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Outputs of similar age from Journal of Clinical Immunology
#11
of 24 outputs
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