Volume 26, Issue 6 (February & March 2024)
J Arak Uni Med Sci 2024, 26(6): 7-13 |
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pazhoohan S, Abbasi Feijani F. Respiratory pattern variability impairment in patients with exacerbated chronic obstructive pulmonary disease. J Arak Uni Med Sci 2024; 26 (6) :7-13
URL: http://jams.arakmu.ac.ir/article-1-7653-en.html
URL: http://jams.arakmu.ac.ir/article-1-7653-en.html
1- , saeedpazhoohan@gmail.com
Abstract: (1105 Views)
Chronic obstructive pulmonary disease (COPD) is a progressive and debilitating condition. People with COPD often experience exacerbations that may require hospitalization. Pattern analysis of respiratory variability can provide valuable insights into the complexity of the respiratory control system. Therefore, this study investigated respiratory pattern variability during stable and exacerbation phases in patients with COPD.
We analyzed respiratory signal data from 14 patients with COPD during exacerbations and stable phases and compared them with 12 age- and sex-matched control subjects. Respiratory pattern variability analysis of 30-minute inter-breath intervals (IBI) time series was performed using sample entropy and Detrended Fluctuation Analysis.
Sample entropy analysis of the IBI revealed that respiratory variability was more regular during both stable and exacerbation phases in patients with COPD. Also, the short-term (α1) and long-term fractal-like correlation (α2) significantly decreased during both exacerbation and stable phases compared to healthy controls.
The respiratory control system in patients with COPD shows less variability (lower entropy and fractal correlation). This reduction in respiratory signal variability indices in COPD patients is still lower than in healthy people, even when their disease status is stabilized.
We analyzed respiratory signal data from 14 patients with COPD during exacerbations and stable phases and compared them with 12 age- and sex-matched control subjects. Respiratory pattern variability analysis of 30-minute inter-breath intervals (IBI) time series was performed using sample entropy and Detrended Fluctuation Analysis.
Sample entropy analysis of the IBI revealed that respiratory variability was more regular during both stable and exacerbation phases in patients with COPD. Also, the short-term (α1) and long-term fractal-like correlation (α2) significantly decreased during both exacerbation and stable phases compared to healthy controls.
The respiratory control system in patients with COPD shows less variability (lower entropy and fractal correlation). This reduction in respiratory signal variability indices in COPD patients is still lower than in healthy people, even when their disease status is stabilized.
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