論文

査読有り
2019年

The prevalence and clinical features of asthma-COPD overlap (ACO) definitively diagnosed according to the Japanese Respiratory Society Guidelines for the Management of ACO 2018.

The journal of medical investigation : JMI
  • Kenta Yamamura
  • Johsuke Hara
  • Takafumi Kobayashi
  • Noriyuki Ohkura
  • Miki Abo
  • Kyota Akasaki
  • Syunichi Nomura
  • Mizuki Yuasa
  • Keigo Saeki
  • Nanao Terada
  • Hiroki Matsuoka
  • Yuichi Tambo
  • Shingo Nishikawa
  • Takashi Sone
  • Hideharu Kimura
  • Kazuo Kasahara
  • 全て表示

66
1.2
開始ページ
157
終了ページ
164
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.2152/jmi.66.157

Background Asthma-COPD overlap (ACO) is a disease that shares clinical features of both asthma and COPD. The purpose of this study is to investigate the prevalence and clinical features of ACO. Methods We retrospectively reviewed data for 170 patients with persistent airflow limitation and diagnosed them according to "The Japanese Respiratory Society Guidelines for the Management of ACO 2018". Results Of the 170 patients, 111 were diagnosed as follows : COPD (74 patients, 66.6%), ACO (34 patients, 30.6%), and asthma (3 patients, 2.8%). There was no significant difference in clinical features between ACO and COPD patients. The following pulmonary function tests were significantly lower in ACO than in COPD patients : forced expiratory volume in 1 second/forced vital capacity, peak expiratory flow, maximal mid-expiratory flow, and the maximum expiratory flow at 50%and75%. The following respiratory impedance parameters were significantly higher in ACO than in COPD patients : respiratory resistance (Rrs) at 5 Hz (R5), Rrsat 20 Hz (R20), R5-R20, and low-frequency reactance area. Conclusions About 30% of patients with persistent airflow limitation were diagnosed with ACO. ACO patients had lower lung function and higher respiratory impedance compared with COPD patients. J. Med. Invest. 66 : 157-164, February, 2019.

リンク情報
DOI
https://doi.org/10.2152/jmi.66.157
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31064931
ID情報
  • DOI : 10.2152/jmi.66.157
  • ISSN : 1343-1420
  • PubMed ID : 31064931

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