View : 55 Download: 0

Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA

Title
Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA
Authors
Park S.Y.Jung H.W.Lee J.M.Shin B.Kim H.J.Kim M.-H.Song W.-J.Kwon H.-S.Jung J.-W.Kim S.-H.Park H.-W.Jang A.-S.Chang Y.-S.Cho Y.S.Cho Y.-J.Cho S.-H.Choi B.W.Won S.Park T.Moon H.-B.Kim C.Kim T.-B.Shin Y.S.Moon J.-Y.Kwon J.-W.Lee T.Kim S.Park C.S.Kim J.-H.Choi J.-H.Nam Y.-H.Yoon S.-Y.Jin H.J.Yang M.-S.Lee J.Park H.-K.Hur G.Y.Kim H.-K.Kim S.H.COREA investigators
Ewha Authors
조영주김민혜
SCOPUS Author ID
조영주scopus
Issue Date
2019
Journal Title
Journal of Allergy and Clinical Immunology: In Practice
ISSN
2213-2198JCR Link
Citation
Journal of Allergy and Clinical Immunology: In Practice vol. 7, no. 6, pp. 1850 - 1857
Keywords
AsthmaCluster analysisPhenotypesTrajectory
Publisher
American Academy of Allergy, Asthma and Immunology
Indexed
SCIE; SCOPUS scopus
Document Type
Article
Abstract
Background: Unbiased cluster analysis has identified several asthma phenotypes. However, these phenotypes did not consistently predict disease prognosis and reflect temporal variability in airway inflammation. Objective: We aimed to identify longitudinal trajectories in terms of pulmonary function parameters and investigated whether the trajectories are associated with prognosis. Methods: Data were extracted from the Cohort for Reality and Evolution of Adult Asthma in Korea (COREA). Three-year pulmonary function test results were used to apply finite mixture models for group-based trajectory in 486 patients with eligible data set. Results: Two main sets of longitudinal trajectories were identified in terms of FEV1% predicted, and FEV1 variability. In the 4 trajectories determined with FEV1% predicted, the pulmonary function showed a consistent course in 4 stratified levels during 3 years of follow-up, which was associated with unexpected hospital visits and the use of steroid bursts due to exacerbation. The variability in pulmonary function showed 3 different patterns, and we found that higher blood and sputum eosinophil levels were associated with the higher variability in pulmonary function and more exacerbations. Conclusions: Trajectory analysis is a novel method that provides longitudinal asthma phenotypes and aids in prediction of future risk of exacerbation. Further analysis is needed to validate the usefulness of these trajectories in an independent population. © 2019 American Academy of Allergy, Asthma & Immunology
DOI
10.1016/j.jaip.2019.02.011
Appears in Collections:
의과대학 > 의학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE