An Algorithm for the Diagnosis and Management of Severe Asthma in Children and Adolescents
Severe asthma (SA) in childhood is infrequent (≈2% of all paediatric asthma), yet it drives a disproportionate share of morbidity and cost. A clear algorithm is required to distinguish difficult-to-treat asthma (DTA) from true SA and to guide phenotype-driven diagnosis and therapy.
Authors
- Susanne Lau (ORCID: https://orcid.org/0000-0002-5189-4265)
- Bianca Schaub (ORCID: https://orcid.org/0000-0003-1652-8873)
- Leonard B. Bacharier (ORCID: https://orcid.org/0000-0003-0432-2704)
- Eckard Hamelmann (ORCID: https://orcid.org/0000-0002-2996-8248)
Institutions
- Bielefeld University (DE)
- Hochschule Bielefeld (DE)
- Monroe Carell Jr. Children's Hospital (US)
- Evangelisches Krankenhaus Bielefeld (DE)
- German Center for Lung Research (DE)
- Charité - Universitätsmedizin Berlin (DE)
- Ludwig-Maximilians-Universität München (DE)
- Bethel University (US)
Publication Details
- Journal
- Allergy
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1111/all.70027
- Primary Topic
- Asthma and respiratory diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00