Respiratory pattern complexity in newly-diagnosed asthmatic patients

The intensity of respiratory symptoms and expiratory airflow limitations in asthma fluctuate over time. Some studies have reported variable complexity of the respiratory patterns in asthmatic patients. Thus, we conducted a novel study to assess the correlation between asthma severity and breathing p...

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Bibliographic Details
Published in:Respiratory physiology & neurobiology 2022-06, Vol.300, p.103873-103873, Article 103873
Main Authors: Enayat, Javad, Mahdaviani, Sayed Alireza, Rekabi, Mahsa, Ghaini, Mehdi, Eslamian, Golnaz, Fallahi, Mazdak, Ghazvineh, Sepideh, Sharifinejad, Niusha, Raoufy, Mohammad Reza, Velayati, Ali Akbar
Format: Article
Language:English
Subjects:
Asthma
Asthma - diagnosis
Asthma pathophysiology
Asthma severity
Female
Forced Expiratory Volume
Humans
Male
Non-linear dynamics
Respiratory pattern
Spirometry
Syndactyly
Vital Capacity
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Summary:The intensity of respiratory symptoms and expiratory airflow limitations in asthma fluctuate over time. Some studies have reported variable complexity of the respiratory patterns in asthmatic patients. Thus, we conducted a novel study to assess the correlation between asthma severity and breathing pattern dynamics in newly-diagnosed asthmatic patients. A total of 20 newly-diagnosed asthmatic patients (7 male, 13 female) and 20 healthy cases (11 male, 9 female) were included. The respiratory patterns of all participants and the asthma severity for asthmatic patients were measured using a spirometer (before and after a bronchodilator exposure) and airflow recorder, respectively. The peak-to-peak intervals and the amplitude of peaks were considered as the inter-breath interval (IBI) and lung volume (LV) series. The Detrended Fluctuation Analysis (DFA), Sample Entropy (SampEn), Multi-scale Entropy (MSE), short-term (SD1) and long-term (SD2) variability, and IBI and LV Cross-Sample Entropy of the respiratory pattern dynamics were calculated using MATLAB (Mathwork, USA). Asthma patients showed notable increase in the average of sample entropy in both IBI and LV parameters (p = 0.025 and p = 0.018, respectively) and also decreased synchronization between IBI and LV (p = 0.042). The multi-scale sample entropy of both IBI and LV was significantly higher in asthmatic patients (p 
ISSN:1569-9048
1878-1519
DOI:10.1016/j.resp.2022.103873