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. 2014 Jun;133(6):1557-63.e5.
doi: 10.1016/j.jaci.2013.10.011. Epub 2013 Dec 9.

Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis

Collaborators, Affiliations

Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis

Wendy C Moore et al. J Allergy Clin Immunol. 2014 Jun.

Abstract

Background: Clinical cluster analysis from the Severe Asthma Research Program (SARP) identified 5 asthma subphenotypes that represent the severity spectrum of early-onset allergic asthma, late-onset severe asthma, and severe asthma with chronic obstructive pulmonary disease characteristics. Analysis of induced sputum from a subset of SARP subjects showed 4 sputum inflammatory cellular patterns. Subjects with concurrent increases in eosinophil (≥2%) and neutrophil (≥40%) percentages had characteristics of very severe asthma.

Objective: To better understand interactions between inflammation and clinical subphenotypes, we integrated inflammatory cellular measures and clinical variables in a new cluster analysis.

Methods: Participants in SARP who underwent sputum induction at 3 clinical sites were included in this analysis (n = 423). Fifteen variables, including clinical characteristics and blood and sputum inflammatory cell assessments, were selected using factor analysis for unsupervised cluster analysis.

Results: Four phenotypic clusters were identified. Cluster A (n = 132) and B (n = 127) subjects had mild-to-moderate early-onset allergic asthma with paucigranulocytic or eosinophilic sputum inflammatory cell patterns. In contrast, these inflammatory patterns were present in only 7% of cluster C (n = 117) and D (n = 47) subjects who had moderate-to-severe asthma with frequent health care use despite treatment with high doses of inhaled or oral corticosteroids and, in cluster D, reduced lung function. The majority of these subjects (>83%) had sputum neutrophilia either alone or with concurrent sputum eosinophilia. Baseline lung function and sputum neutrophil percentages were the most important variables determining cluster assignment.

Conclusion: This multivariate approach identified 4 asthma subphenotypes representing the severity spectrum from mild-to-moderate allergic asthma with minimal or eosinophil-predominant sputum inflammation to moderate-to-severe asthma with neutrophil-predominant or mixed granulocytic inflammation.

Keywords: Severe Asthma Research Program; cluster analysis; eosinophils; neutrophils; phenotype; severe asthma; sputum.

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Figures

FIGURE 1
FIGURE 1
Sputum inflammatory cells. Shown are box plots of % eosinophils and % neutrophils from sputum specimens. There was a wide range of values for both cell types in all sputum clusters. There are statistically significant differences among the four groups, (p=0.001 for eosinophils, p<0.0001 for neutrophils) with differentiation between clusters in contrast to blood inflammatory cells (see ). P values shown on graph are paired comparisons between two clusters of similar disease severity.
FIGURE 2
FIGURE 2
Sputum granulocyte patterns in the four clusters. Subjects were assigned into one of four possible patterns based on % sputum eosinophils (<2% or >=2%) and % sputum neutrophils (<40% or >=40%). All four granulocyte patterns are present in every cluster, but in general, as asthma severity increases (Clusters C and D), sputum neutrophils increase in nearly all subjects and sputum eosinophils persist in a third to half of these subjects despite increasing doses of inhaled and/or oral corticosteroids.

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