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Cited by 446

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Heterogeneity of severe asthma in childhood: Confirmation by cluster analysis of children in the National Institutes of Health/National Heart, Lung, and Blood Institute Severe Asthma Research Program

Open access
Fitzpatrick, Anne M., Teague, W. Gerald, Meyers, Deborah A., Peters, Stephen P., Li, Xingnan, Li, Huashi, Wenzel, Sally E., Aujla, Shean, Castro, Mario, Bacharier, Leonard B., Gaston, Benjamin M., Bleecker, Eugene R., Moore, Wendy C.·2011·Journal of Allergy and Clinical Immunology
DOI 10.1016/j.jaci.2010.11.015
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Abstract

Background Asthma in children is a heterogeneous disorder with many phenotypes. Although unsupervised cluster analysis is a useful tool for identifying phenotypes, it has not been applied to school-age children with persistent asthma across a wide range of severities. Objectives This study determined how children with severe asthma are distributed across a cluster analysis and how well these clusters conform to current definitions of asthma severity. Methods Cluster analysis was applied to 12 continuous and composite variables from 161 children at 5 centers enrolled in the Severe Asthma Research Program (SARP). Results Four clusters of asthma were identified. Children in Cluster 1 (n = 48) had relatively normal lung function and less atopy, while children in Cluster 2 (n = 52) had slightly lower lung function, more atopy, and increased symptoms and medication usage. Cluster 3 (n = 32) had greater co-morbidity, increased bronchial responsiveness and lower lung function. Cluster 4 (n = 29) had the lowest lung function and the greatest symptoms and medication usage. Predictors of cluster assignment were asthma duration, the number of asthma controller medications, and baseline lung function. Children with severe asthma were present in all clusters, and no cluster corresponded to definitions of asthma severity provided in asthma treatment guidelines. Conclusions Severe asthma in children is highly heterogeneous. Unique phenotypic clusters previously identified in adults can also be identified in children, but with important differences. Larger validation and longitudinal studies are needed to determine the baseline and predictive validity of these phenotypic clusters in the larger clinical setting.

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Metadata

Authors
Fitzpatrick, A. M., Teague, W. G., Meyers, D. A., Peters, S. P., Li, X., Li, H., Wenzel, S. E., Aujla, S., Castro, M., Bacharier, L. B., Gaston, B. M., Bleecker, E. R., & Moore, W. C.
Venue
Journal of Allergy and Clinical Immunology
Publisher
Elsevier BV
Published
2011-02
Volume
127
Issue
2
Pages
382-389.e13
ISSN
0091-6749 (ISSN-L)
DOI
10.1016/j.jaci.2010.11.015
OpenAlex
W2010962160
Cited by
446
References
7
FWCI
24.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Heterogeneity of severe asthma in childhood: Confirmation by cluster analysis of children in the National Institutes of Health/National Heart, Lung, and Blood Institute Severe Asthma Research Program. https://app.cochat.ai/papers/10.1016/j.jaci.2010.11.015
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Fitzpatrick, A. M., Teague, W. G., Meyers, D. A., Peters, S. P., Li, X., Li, H., Wenzel, S. E., Aujla, S., Castro, M., Bacharier, L. B., Gaston, B. M., Bleecker, E. R., & Moore, W. C. (2011). Heterogeneity of severe asthma in childhood: Confirmation by cluster analysis of children in the National Institutes of Health/National Heart, Lung, and Blood Institute Severe Asthma Research Program. Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2010.11.015

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.