| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 3190906 | Annals of Allergy, Asthma & Immunology | 2015 | 5 Pages |
Abstract
We defined 4 elderly asthma phenotypic clusters with distinct probabilities of future acute exacerbation of asthma. Our simplified decision-tree algorithm can be easily administered in practice to better understand elderly asthma and to identify an exacerbation-prone subgroup of elderly patients with asthma.
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Authors
Heung-Woo MD, Woo-Jung MD, Sae-Hoon MD, Hye-Kyung MD, Sang-Heon MD, Yong Eun MD, Hyouk-Soo MD, Tae-Bum MD, Yoon-Seok MD, You-Sook MD, Byung-Jae MD, Young-Koo MD, An-Soo MD, Dong-Ho MD, Jung-Won MD, Ho Joo MD, Young-Joo MD, Byoung Whui MD, Sang-Heon MD,