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Article

Clustering of patients with severe asthma based on long-term percentage of forced expiratory volume in 1 second (FEV1) changes: Real-world evidence.

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology - 1 May 2026

Lee Youngsoo, Chang Junhyuk, Kim Chungsoo, Lee Eunyoung, Jang Jae-Hyuk, Park Rae Woong, Park Hae-Sim

Abstract excerpt

BACKGROUND: Severe asthma is a heterogeneous disease with variable clinical manifestations and treatment responses. Long-term assessment of lung function trajectories may help define phenotypic and endotypic subgroups. OBJECTIVE: To identify distinct phenotypic clusters in patients with severe asthma using longitudinal changes in percentage of forced expiratory volume in 1 second (FEV1%) and assess the associated...

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Asthma
Cluster Analysis
Eosinophils
Forced Expiratory Volume
Leukocyte Count

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Severity of Illness Index

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PMID: 41354271
DOI: 10.1016/j.anai.2025.12.002

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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