Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA
- 주제(키워드) Asthma , Phenotypes , Cluster analysis , Trajectory
- 주제(기타) Allergy; Immunology
- 설명문(일반) [Park, So Young; Jung, Hee Won; Lee, Jae Moon; Shin, Bomi; Kim, Hyo Jung; Song, Woo-Jung; Kwon, Hyouk-Soo; Cho, You Sook; Moon, Hee-Bom; Kim, Tae-Bum] Univ Ulsan, Asan Med Ctr, Dept Allergy & Clin Immunol, Coll Med, 88,Olymp Ro 43 Gil, Seoul 05505, South Korea; [Park, So Young] Eulji Univ, Dept Internal Med, Sch Med, Seoul, South Korea; [Jung, Hee Won] Chung Ang Grad Univ, Dept Appl Stat, Seoul, South Korea; [Kim, Min-Hye; Cho, Young-Joo] Ewha Womans Univ, Coll Med, Dept Internal Med, Seoul, South Korea; [Jung, Jae-Woo; Choi, Byoung Whui] Chung Ang Univ, Dept Internal Med, Coll Med, Seoul, South Korea; [Kim, Sae-Hoon; Chang, Yoon-Seok] Seoul Natl Univ, Dept Internal Med, Bundang Hosp, Seongnam, South Korea; [Park, Heung-Woo; Cho, Sang-Heon] Seoul Natl Univ, Dept Internal Med, Coll Med, Seoul, South Korea; [Jang, An-Soo] Soonchunhyang Univ, Coll Med, Dept Internal Med, Bucheon, South Korea; [Won, Sungho] Seoul Natl Univ, Dept Publ Hlth Sci, Seoul, South Korea; [Won, Sungho] Seoul Natl Univ, Inst Hlth & Environm, Seoul, South Korea; [Park, Taesung] Seoul Natl Univ, Dept Stat, Seoul, South Korea; [Kim, Changsoo] Yonsei Univ, Dept Prevent Med, Coll Med, Seoul, South Korea; [Song, Woo-Jung; Kwon, Hyouk-Soo; Cho, You Sook; Kim, Tae-Bum] Univ Ulsan, Seoul, South Korea; [Kim, Sae-Hoon] Bundang Seoul Natl Univ, Seongnam, South Korea; [Jung, Jae-Woo; Choi, Byoung Whui] Chung Ang Univ, Seoul, South Korea; [Kim, Min-Hye; Cho, Young-Joo] Ewha Womans Univ, Seoul, South Korea; [Jang, An-Soo] Soonchunhyang Univ, Bucheon, South Korea; [Shin, Yoo Seob] Ajou Univ, Suwon, South Korea; [Moon, Ji-Yong] Hanyang Univ, Guri, South Korea; [Yoon, Ho Joo] Hanyang Univ, Seoul, South Korea; [Kwon, Jae-Woo] Kangwon Natl Univ, Chunchon, South Korea; [Kim, Sang-Hoon; Park, So Young] Eulji Univ, Seoul, South Korea; [Lee, Taehoon] Univ Ulsan, Ulsan, South Korea; [Kim, Sujeong] Kyungpook Natl Univ, Daegu, South Korea; [Park, Chan Sun] Inje Univ, Haeundae Paik Hosp, Busan, South Korea; [Kim, Joo-Hee] Hallym Univ, Sacred Heart Hosp, Anyang, South Korea; [Choi, Jeong-Hee] Hallym Univ, Dongtan Sacred Heart Hosp, Hwaseong, South Korea; [Nam, Young-Hee] Dong A Univ, Busan, South Korea; [Yoon, Sun-Young] Univ Konkuk, Chungju, South Korea; [Jin, Hyun Jung] Yeungnam Univ, Daegu, South Korea; [Yang, Min-Suk] Seoul Natl Univ, Boramae Med Ctr, Seoul, South Korea; [Lee, Jaechun] Jeju Natl Univ, Jeju, South Korea; [Park, Hye-Kyung] Pusan Natl Univ, Busan, South Korea; [Hur, Gyu Young] Korea Univ, Seoul, South Korea; [Kim, Hee-Kyoo] Kosin Univ, Busan, South Korea; [Kim, Sang Ha] Yonsei Univ, Wonju, South Korea
- 등재 SCIE, SCOPUS
- 발행기관 ELSEVIER SCIENCE BV
- 발행년도 2019
- URI http://www.dcollection.net/handler/ewha/000000159756
- 본문언어 영어
- Published As http://dx.doi.org/10.1016/j.jaip.2019.0.011
- PubMed https://pubmed.ncbi.nlm.nih.gov/30794966
초록/요약
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 FEW1% 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. (C) 2019 American Academy of Allergy, Asthma & Immunology
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