Open Access<p>Prediction of first acute exacerbation using COPD subtypes identified by cluster analysis</p>
Author(s) -
Hee Yoon,
So Young Park,
Chang Hoon Lee,
Min Kwang Byun,
Joo Ock Na,
Jae Seung Lee,
Won-Yeon Lee,
Kwang Ha Yoo,
Ji Ye Jung,
Jin Hwa Lee
Publication year - 2019
Publication title -
international journal of chronic obstructive pulmonary disease/international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s205517
Subject(s) - copd , medicine , exacerbation , asthma , body mass index , cohort , subgroup analysis , physical therapy , confidence interval
In patients with COPD, acute exacerbation (AE) is not only an important determinant of prognosis, but also an important factor in choosing therapeutic agents. In this study, we evaluated the usefulness of COPD subtypes identified through cluster analysis to predict the first AE.