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Clusters of Severe Eosinophilic Asthma in a Korean Asthma Cohort

医学 哮喘 队列 内科学 嗜酸性 队列研究 呼吸道疾病 儿科 病理
作者
Ji‐Hyang Lee,Jin An,Ha‐Kyeong Won,Bomi Seo,Jung‐Hyun Kim,So‐Young Park,Min‐Hye Kim,Yoo Seob Shin,Jae‐Woo Jung,Woo‐Jung Song,Taehoon Lee,Hyouk‐Soo Kwon,Jae‐Hyun Lee,Joohee Kim,Sae‐Hoon Kim,Yoon‐Seok Chang,You Sook Cho,Dong‐Ho Nahm,An‐Soo Jang,Jung‐Won Park,Ho Joo Yoon,Sang‐Heon Cho,Young-Joo Cho,Byoung Whui Choi,Hee‐Bom Moon,Tae‐Bum Kim
出处
期刊:Respiration [S. Karger AG]
卷期号:101 (5): 465-475 被引量:2
标识
DOI:10.1159/000520492
摘要

Targeted therapies have broadened the available treatment options for patients with severe eosinophilic asthma (SEA). However, differences in the magnitude of treatment responses among patients indicate the presence of various underlying pathophysiological processes and patient subgroups.We aimed to describe the characteristics of SEA and identify its patient subgroups.Clinical data from the Cohort for Reality and Evolution of Adult Asthma in Korea were analyzed. Cluster analysis was performed among those with SEA using 5 variables, namely, prebronchodilator forced expiratory volume in 1 s, body mass index, age at symptom onset, smoking amount, and blood eosinophil counts.Patients with SEA showed prevalent sensitization to aeroallergens, decreased lung function, and poor asthma control status. Cluster analysis revealed 3 distinctive subgroups among patients with SEA. Cluster 1 (n = 177) consisted of patients reporting the lowest blood eosinophils (median, 346.8 cells/μL) and modest severe asthma with preserved lung function during the 12-month treatment period. Cluster 2 (n = 42) predominantly included smoking males with severe persistent airway obstruction and moderate eosinophilia (median, 451.8 cells/μL). Lastly, cluster 3 (n = 95) included patients with the most severe asthma, the highest eosinophil levels (median, 817.5 cells/μL), and good treatment response in terms of improved lung function and control status.Three subgroups were identified in SEA through the cluster analysis. The distinctive features of each cluster may help physicians predict patients who will respond to biologics with greater magnitude of clinical improvement. Further research regarding the underlying pathophysiology and clinical importance of each subgroup is warranted.
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