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

参考文献 (44)*注記

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ