Results
Title

Longitudinal asthma phenotypes by multi‐trajectory analysis.

Authors

Pham, Duong Duc; Hong, Chaelin; Lee, Ji‐Hyang; Kwon, Hyouk‐Soo; Song, Woo‐Jung; Cho, You Sook; Oh, Ji Seon; Kim, Tae‐Bum

Abstract

This article discusses a study that aimed to classify the progression of asthma by analyzing longitudinal data on lung function, eosinophilic status, and steroid use. The study utilized electronic medical record data from 350 adults with asthma over a 5-year period. The researchers identified six clusters based on the trajectories of these factors and found significant differences in exacerbation risk among the clusters. The study suggests that this multi-trajectory analysis may be a useful method for studying the complex progression of asthma over time.

Subjects

ASTHMA; PHENOTYPES; WHEEZE; FORCED expiratory volume; SUSTAINABLE agriculture; PULMONARY eosinophilia

Publication

Allergy, 2024, Vol 79, Issue 5, p1342

ISSN

0105-4538

Publication type

Academic Journal

DOI

10.1111/all.15958