Korean childhood asthma study (KAS): a prospective, observational cohort of Korean asthmatic children View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-03-15

AUTHORS

Dong In Suh, Dae Jin Song, Hey-Sung Baek, Meeyong Shin, Young Yoo, Ji-Won Kwon, Gwang Cheon Jang, Hyeon-Jong Yang, Eun Lee, Hwan Soo Kim, Ju-Hee Seo, Sung-Il Woo, Hyung Young Kim, Youn Ho Shin, Ju Suk Lee, Jisun Yoon, Sungsu Jung, Minkyu Han, Eunjin Eom, Jinho Yu, Woo Kyung Kim, Dae Hyun Lim, Jin Tack Kim, Woo-Sung Chang, Jeom-Kyu Lee

ABSTRACT

BACKGROUND: Asthma 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. METHODS: We 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. More... »

PAGES

64

Journal

TITLE

BMC Pulmonary Medicine

ISSUE

1

VOLUME

19

Author Affiliations

  • Department of Pediatrics, Seoul National University College of Medicine, Seoul, South Korea
  • Department of Pediatrics, Korea University College of Medicine, Seoul, South Korea
  • Department of Pediatrics, Hallym University Kangdong Sacred Heart Hospital, Seoul, South Korea
  • Department of Pediatrics, Soonchunhyang University School of Medicine, Bucheon, South Korea
  • Department of Pediatrics, Korea University Anam Hospital, Seoul, South Korea
  • Department of Pediatrics, Seoul National University Bundang Hospital, Seongnam, South Korea
  • Department of Pediatrics, National Health Insurance Service Ilsan Hospital, Ilsan, South Korea
  • Department of Pediatrics, Pediatric Allergy and Respiratory Center, Soonchunhyang University College of Medicine, Seoul, South Korea
  • Department of Pediatrics, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea
  • Department of Pediatrics, School of Medicine, The Catholic University of Korea, Bucheon St. Mary’s Hospital, Bucheon, South Korea
  • Department of Pediatrics, Dankook University Hospital, Cheonan, South Korea
  • Department of Pediatrics, College of Medicine, Chungbuk National University, Cheongju, South Korea
  • Department of Pediatrics, Pusan National University Yangsan Hospital, Yangsan, South Korea
  • Department of Pediatrics, Gangnam CHA Medical Center CHA University School of Medicine, Seoul, South Korea
  • Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea
  • Department of Pediatrics, Mediplex Sejong hospital, Incheon, South Korea
  • Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
  • Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, South Korea
  • Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, South Korea
  • Department of Pediatrics, Inje University Seoul Paik Hospital, Seoul, South Korea
  • Department of Pediatrics, School of Medicine, Inha University, Incheon, South Korea
  • Department of Pediatrics, School of Medicine, The Catholic University of Korea, Uijeongbu St. Mary’s hospital, Uijeongbu, South Korea
  • Division of Allergy and Chronic Respiratory Diseases, Center for Biomedical Sciences, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Osong, South Korea
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12890-019-0829-3

    DOI

    http://dx.doi.org/10.1186/s12890-019-0829-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112775118

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30876418


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