ArticleBMC pulmonary medicine2019
Korean childhood asthma study (KAS): a prospective, observational cohort of Korean asthmatic children.
Article in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Pet Ownership Increases the Exhaled Nitric Oxide and Asthma Severity in Children With Atopic Asthma.Allergy, asthma & immunology research · 2025Article
- Navigating the Asthma Maze in Children Through Trajectories With Allergic Comorbidities.Allergy, asthma & immunology research · 2025Article
- Longitudinal Trajectories of Asthma and Allergic Comorbidities in the Korean Childhood Asthma Study.Allergy, asthma & immunology research · 2025Article
- [Lessons from Korean Childhood Asthma Study Cohort and Needs for Long-term Prospective Study].Jugan geon-gang gwa jilbyeong · 2023Review
- Heterogeneity of Childhood Asthma in Korea: Cluster Analysis of the Korean Childhood Asthma Study Cohort.Allergy, asthma & immunology research · 2021Article
- Effects of STIP1 and GLCCI1 polymorphisms on the risk of childhood asthma and inhaled corticosteroid response in Chinese asthmatic children.BMC pulmonary medicine · 2020Article
- Associated Factors for Asthma Severity in Korean Children: A Korean Childhood Asthma Study.Allergy, asthma & immunology research · 2020Article
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Authors and funding
25 authors at 20 institutions in 1 country.
Funding
Abstract
backgroundAsthma is a syndrome composed of heterogeneous disease entities. Although it is agreed that proper asthma endo-typing and appropriate type-specific interventions are crucial in the management of asthma, little data are available regarding pediatric asthma.
methodsWe designed a cluster-based, prospective, observational cohort study of asthmatic children in Korea (Korean childhood Asthma Study [KAS]). A total of 1000 Korean asthmatic children, aged from 5 to 15 years, will be enrolled at the allergy clinics of the 19 regional tertiary hospitals from August 2016 to December 2018. Physicians will verify the relevant histories of asthma and comorbid diseases, as well as airway lability from the results of spirometry and bronchial provocation tests. Questionnaires regarding subjects' baseline characteristics and their environment, self-rating of asthma control, and laboratory tests for allergy and airway inflammation will be collected at the time of enrollment. Follow-up data regarding asthma control, lung function, and environmental questionnaires will be collected at least every 6 months to assess outcome and exacerbation-related aggravating factors. In a subgroup of subjects, peak expiratory flow rate will be monitored by communication through a mobile application during the overall study period. Cluster analysis of the initial data will be used to classify Korean pediatric asthma patients into several clusters; the exacerbation and progression of asthma will be assessed and compared among these clusters. In a subgroup of patients, big data-based deep learning analysis will be applied to predict asthma exacerbation. DISCUSSION: Based on the assumption that asthma is heterogeneous and each subject exhibits a different subset of risk factors for asthma exacerbation, as well as a different disease progression, the KAS aims to identify several asthma clusters and their essential determinants, which are more suitable for Korean asthmatic children. Thereafter we may suggest cluster-specific strategies by focusing on subjects' personalized aggravating factors during each exacerbation episode and by focusing on disease progression. The KAS will provide a good academic background with respect to each interventional strategy to achieve better asthma control and prognosis.
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