Eosinophilic and Noneosinophilic Asthma: An Expert Consensus Framework to Characterize Phenotypes in a Global Real-Life Severe Asthma Cohort.
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AuthorsHeaney, Liam G
Perez de Llano, Luis
Canonica, Giorgio Walter
Christoff, George C
Cosio, Borja G
FitzGerald, J Mark
Jackson, David J
Menzies-Gow, Andrew N
Papadopoulos, Nikolaos G
Papaioannou, Andriana I
Pfeffer, Paul E
Popov, Todor A
Porsbjerg, Celeste M
Rhee, Chin Kook
Wechsler, Michael E
Björnsdóttir, Unnur S
Brusselle, Guy G
Costello, Richard W
Koh, Mariko Siyue
Tran, Trung N
Carter, Victoria A
Murray, Ruth B
Price, Chris A
Price, David B
MetadataShow full item record
CitationHeaney LG, Perez de Llano L, Al-Ahmad M, et al. Eosinophilic and Noneosinophilic Asthma: An Expert Consensus Framework to Characterize Phenotypes in a Global Real-Life Severe Asthma Cohort. Chest. 2021;160(3):814-830. doi:10.1016/j.chest.2021.04.013
AbstractOne thousand seven hundred sixteen patients with prospective data were included; 83.8% were identified as most likely (grade 3), 8.3% were identified as likely (grade 2), and 6.3% identified as least likely (grade 1) to have an eosinophilic phenotype, and 1.6% of patients showed a noneosinophilic phenotype (grade 0). Eosinophilic phenotype patients (ie, grades 2 or 3) showed later asthma onset (29.1 years vs 6.7 years; P < .001) and worse lung function (postbronchodilator % predicted FEV1, 76.1% vs 89.3%; P = .027) than those with a noneosinophilic phenotype. Patients with noneosinophilic phenotypes were more likely to be women (81.5% vs 62.9%; P = .047), to have eczema (20.8% vs 8.5%; P = .003), and to use anti-IgE (32.1% vs 13.4%; P = .004) and leukotriene receptor antagonists (50.0% vs 28.0%; P = .011) add-on therapy.
Interpretation: According to this multicomponent, consensus-driven, and evidence-based eosinophil gradient algorithm (using variables readily accessible in real life), the severe asthma eosinophilic phenotype was more prevalent than previously identified and was phenotypically distinct. This pragmatic gradient algorithm uses variables readily accessible in primary and specialist care, addressing inherent issues of phenotype heterogeneity and phenotype instability. Identification of treatable traits across phenotypes should improve therapeutic precision. Keywords: Asia; Europe; International Severe Asthma Registry; Middle East; North America.
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RightsCopyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.
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