Literature DB >> 23816601

Predictors of phase III slope of nitrogen single-breath washout in COPD.

Masashi Mikamo1, Toshihiro Shirai, Kazutaka Mori, Yuichiro Shishido, Takefumi Akita, Satoru Morita, Kazuhiro Asada, Masato Fujii, Tomoyoshi Tsuchiya, Takafumi Suda.   

Abstract

The nitrogen (N₂) single-breath washout (SBW) test is a measure of ventilation distribution inhomogeneity and also a small airway function that offers complementary information to spirometry; however, the relevance to the forced oscillation technique (FOT) and pulmonary emphysema in COPD is not fully understood. We hypothesized that pulmonary functions, forced oscillatory parameters, and emphysema extent would contribute independently to the results of the SBW test. In this cross-sectional study we assessed the relationship between the phase III slope (delta N₂) derived from N₂ SBW and these parameters. Spirometry, lung volumes, N₂ SBW, and the broadband frequency FOT were performed in 56 patients with COPD. Emphysema extent was measured by high-resolution computed tomography and scored. In multiple regression analyses, the delta N₂ was independently predicted by forced vital capacity, resonant frequency, and emphysema score (R(2)=0.57, p<0.0001). The degree of ventilation inhomogeneity derived from N₂ SBW is independently predicted by spirometry, lung mechanics, and the degree of emphysema.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Delta N(2); Forced oscillation technique; Pulmonary emphysema; Ventilation distribution inhomogeneity

Mesh:

Substances:

Year:  2013        PMID: 23816601     DOI: 10.1016/j.resp.2013.06.018

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  8 in total

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Journal:  Lung       Date:  2016-10-12       Impact factor: 2.584

2.  Correlations between small airway function, ventilation distribution, and functional exercise capacity in COPD patients.

Authors:  Agnaldo José Lopes; Thiago Thomaz Mafort
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Authors:  Erick Forno; Daniel J Weiner; James Mullen; Gregory Sawicki; Geoffrey Kurland; Yueh Ying Han; Michelle M Cloutier; Glorisa Canino; Scott T Weiss; Augusto A Litonjua; Juan C Celedón
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Authors:  Naoki Inui; Sayomi Matsushima; Shinpei Kato; Hideki Yasui; Masato Kono; Tomoyuki Fujisawa; Noriyuki Enomoto; Yutaro Nakamura; Mikio Toyoshima; Takafumi Suda
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5.  Comparison of pulmonary function in patients with COPD, asthma-COPD overlap syndrome, and asthma with airflow limitation.

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Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-09-24

7.  Mucus Plugs and Small Airway Dysfunction in Asthma, COPD, and Asthma-COPD Overlap.

Authors:  Kanami Tamura; Toshihiro Shirai; Keita Hirai; Hiromasa Nakayasu; Shingo Takahashi; Yutaro Kishimoto; Taisuke Akamatsu; Kazuhiro Asada; Satoshi Kato
Journal:  Allergy Asthma Immunol Res       Date:  2022-03       Impact factor: 5.764

8.  Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

Authors:  Paresh C Giri; Anand M Chowdhury; Armando Bedoya; Hengji Chen; Hyun Suk Lee; Patty Lee; Craig Henriquez; Neil R MacIntyre; Yuh-Chin T Huang
Journal:  Front Physiol       Date:  2021-06-24       Impact factor: 4.566

  8 in total

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