Classifications of moderate to severe asthma phenotypes in Japan and analysis of serum biomarkers: A Nationwide Cohort Study in Japan (NHOM Asthma Study)
-
- Suzukawa Maho
- Clinical Research Center, National Hospital Organization Tokyo National Hospital
-
- Ohta Ken
- Clinical Research Center, National Hospital Organization Tokyo National Hospital Japan Anti-Tuberculosis Association, JATA Fukujuji Hospital
-
- Fukutomi Yuma
- Clinical Research Center, National Hospital Organization Sagamihara National Hospital
-
- Hashimoto Hiroya
- Clinical Research Center, National Hospital Organization Nagoya Medical Center Core Laboratory, Nagoya City University Graduate School of Medical Sciences
-
- Endo Takeo
- National Hospital Organization Mito Medical Center
-
- Abe Masahiro
- National Hospital Organization Ehime Medical Center
-
- Kamide Yosuke
- Clinical Research Center, National Hospital Organization Sagamihara National Hospital
-
- Yoshida Makoto
- National Hospital Organization Fukuoka National Hospital
-
- Kikuchi Yoshihiro
- National Hospital Organization Morioka Medical Center
-
- Kita Toshiyuki
- National Hospital Organization Kanazawa Medical Center
-
- Chibana Kenji
- National Hospital Organization Okinawa National Hospital
-
- Tanimoto Yasushi
- National Hospital Organization Minami-Okayama Medical Center
-
- Hyodo Kentaro
- National Hospital Organization Ibarakihigashi National Hospital
-
- Takata Shohei
- National Hospital Organization Fukuokahigashi Medical Center
-
- Inui Toshiya
- National Hospital Organization Disaster Medical Center
-
- Yasui Masahide
- National Hospital Organization Nanao National Hospital
-
- Harada Yoshinori
- Department of Rheumatology & Allergology, National Hospital Organization Osaka Minami Medical Center
-
- Sato Toshio
- National Hospital Organization Okayama Medical Center
-
- Sakakibara Yumi
- Federation of National Public Service Personnel Mutual Aid Associations Hiratsuka Kyosai Hospital
-
- Minakata Yoshiaki
- National Hospital Organization Wakayama Hospital
-
- Inoue Yoshikazu
- National Hospital Organization Kinki-Chuo Chest Medical Center
-
- Tamaki Shinji
- National Hospital Organization Nara Medical Center
-
- Shinohara Tsutomu
- National Hospital Organization Kochi National Hospital
-
- Takami Kazutaka
- Kanto Central Hospital of the Mutual Aid Association of Public School Teachers
-
- Tsubakihara Motofumi
- National Hospital Organization Yokohama Medical Center
-
- Oki Masahide
- Department of Respiratory Medicine, National Hospital Organization Nagoya Medical Center
-
- Wakamatsu Kentaro
- National Hospital Organization Omuta National Hospital
-
- Horiba Masahide
- Division of Respiratory Medicine, National Hospital Organization Higashisaitama National Hospital
-
- Ideura Gen
- National Hospital Organization Shinshu Ueda Medical Center
-
- Hidaka Koko
- National Hospital Organization Kokura Medical Center
-
- Saito Akiko M.
- Clinical Research Center, National Hospital Organization Nagoya Medical Center
-
- Kobayashi Nobuyuki
- Clinical Research Center, National Hospital Organization Tokyo National Hospital Fureai Machida Hospital
-
- Taniguchi Masami
- Clinical Research Center, National Hospital Organization Sagamihara National Hospital Shonan Kamakura General Hospital
この論文をさがす
抄録
<p>Background: Asthma is a heterogeneous disease, and phenotyping can facilitate understanding of disease pathogenesis and direct appropriate asthma treatment. This nationwide cohort study aimed to phenotype asthma patients in Japan and identify potential biomarkers to classify the phenotypes.</p><p>Methods: Adult asthma patients (n = 1925) from 27 national hospitals in Japan were enrolled and divided into Global Initiative for Asthma (GINA) steps 4 or 5 (GINA 4, 5) and GINA Steps 1, 2, or 3 (GINA 1-3) for therapy. Clinical data and questionnaires were collected. Biomarker levels among GINA 4, 5 patients were measured. Ward's minimum variance hierarchical clustering method and tree analysis were performed for phenotyping. Analysis of variance, the Kruskal-Wallis, and chi-square tests were used to compare cluster differences.</p><p>Results: The following five clusters were identified: 1) late-onset, old, less-atopic; 2) late-onset, old, eosinophilic, low FEV1; 3) early-onset, long-duration, atopic, poorly controlled; 4) early-onset, young, female-dominant, atopic; and 5) female-dominant, T1/T2-mixed, most severe. Age of onset, disease duration, blood eosinophils and neutrophils, asthma control questionnaire Sum 6, number of controllers, FEV1, body mass index (BMI), and hypertension were the phenotype-classifying variables determined by tree analysis that assigned 79.5% to the appropriate cluster. Among the cytokines measured, IL-1RA, YKL40/CHI3L1, IP-10/CXCL10, RANTES/CCL5, and TIMP-1 were useful biomarkers for classifying GINA 4, 5 phenotypes.</p><p>Conclusions: Five distinct phenotypes were identified for moderate to severe asthma and may be classified using clinical and molecular variables (Registered in UMIN-CTR; UMIN000027776.)</p>
収録刊行物
-
- Allergology International
-
Allergology International 72 (1), 63-74, 2023
一般社団法人日本アレルギー学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390576502651666176
-
- ISSN
- 14401592
- 13238930
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
-
- 抄録ライセンスフラグ
- 使用不可