Novel imaging phenotypes of naive asthma patients with distinctive clinical characteristics and T2 inflammation traits

THERAPEUTIC ADVANCES IN CHRONIC DISEASE(2022)

Cited 0|Views22
No score
Abstract
Objective: This study aims to describe the imaging features of naive asthma patients, defined as not receiving corticosteroids or other asthma medications for at least 1 month, and their association with therapeutic response, and to discover novel unbiased imaging phenotypes. Methods: A total of 109 naive asthma patients and 50 healthy controls were enrolled in this study. Clinical data and imaging indices of high-resolution computed tomography were collected. The correlation between imaging indices and clinical features was analyzed. Cluster analyses were adopted to determine three novel imaging phenotypes. Results: Compared with healthy controls, nave asthma patients presented higher scores of airway remodeling, bronchiectasis, and mucus plugs. Mean airway wall area [WA]% was inversely correlated with mid-expiratory flow velocity% predicted. The extent score of bronchiectasis was positively correlated with smoking history and significantly increased in the high mucus group. Mucus plugs were related to improving lung function and type 2 (T2) inflammation, as assessed by sputum and blood eosinophils and fraction of exhaled nitric oxide. Cluster 1 patients had a high proportion of emphysema, the best lung function, and the lowest T2 inflammation; cluster 2 patients had severe airway remodeling, relatively good lung function, and moderate T2 inflammation; cluster 3 patients had severe airway remodeling, mucus plugs, and bronchiectasis, and showed the worst lung function and highest T2 inflammation. Conclusion: Naive asthma patients had the imaging traits of airway remodeling, bronchiectasis, and mucus plugs. The unbiased imaging phenotypes had good consistency with clinical characteristics, therapeutic response, and T2 inflammation expression in nave asthma patients.
More
Translated text
Key words
asthma, cluster analysis, phenotype, X-ray computed tomography
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined