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A Comparison study of the Multiple Allergen Simultaneous Test Results by Sasang Constitution

다중 알레르기 항원 동시 검사 결과의 사상체질 간 비교 연구

  • Young-Eun, Kim (Division of Korean Medicine Data, Korea Institute of Oriental Medicine) ;
  • SangHun, Lee (Division of Korean Medicine Data, Korea Institute of Oriental Medicine)
  • 김영은 (한국한의학연구원 한의약데이터부) ;
  • 이상훈 (한국한의학연구원 한의약데이터부)
  • Received : 2022.09.05
  • Accepted : 2022.10.07
  • Published : 2022.12.30

Abstract

Objectives The purpose of this study was to explore the differences in allergic reactions by type of Sasang constitution using multiple allergen simultaneous test(MAST). Methods This study was conducted using the big data of Korean medical health checkups. Subjects with a history of allergic disease, Sasang constitution type information, and MAST results were included. Subjects who had taken drugs before MAST that affected allergic reactions were excluded. We compared total immunoglobulin E(IgE) concentrations, and the number of positive antigens by Sasang constitution using analysis of variance. The presence or absence of a positive reaction and specific IgE concentration classes of 92 antigens in MAST were analyzed by Fisher's exact test or Chi-squared test. Results The distribution of Sasang constitutional types of Tae-Yang, Tae-Eum, So-Yang, and So-Eum among 147 subjects was 2.7%, 42.9%, 38.1%, and 16.3%, respectively. There was no statistically significant difference in the total IgE concentration, the number of positive antigens, and specific IgE concentration classes for each antigen. There was a statistically significant difference in MAST-positive reaction for alder and pine antigens by type of Sasang constitution, and Tae-Eum had the most. Conclusions Tae-Eum showed a relatively strong positive reaction to a large number of antigens compared to the other types, but no statistically significant difference was observed. It is necessary to continuously investigate allergic reactions to provide evidence for the treatment of allergic diseases by Sasang constitution.

Keywords

Acknowledgement

이 연구는 한국한의학연구원 주요 사업 'AI 한의사 개발을 위한 임상 빅데이터 수집 및 서비스 플랫폼 구축 (KSN2021110)' 의 지원을 받아 수행되었습니다.

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