Volume 28, Issue 5 (12-2025)
J Arak Uni Med Sci 2025, 28(5): 0-0 |
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Moini A, Pazhoohan S. Pulse Rate Variability Analysis in Patients with Chronic Obstructive Pulmonary Disease: Focusing on the Hospitalization Period. J Arak Uni Med Sci 2025; 28 (5)
URL: http://jams.arakmu.ac.ir/article-1-7996-en.html
URL: http://jams.arakmu.ac.ir/article-1-7996-en.html
1- Assistant Professor, Department of Internal Medicine, Amiralmomenin Hospital, Arak University of Medical Sciences, Arak, Iran
2- Assistant Professor, Department of Physiology, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran ,saeedpazhoohan@gmail.com
2- Assistant Professor, Department of Physiology, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran ,
Abstract: (72 Views)
Abstract
Introduction: Chronic obstructive pulmonary disease (COPD) is a common condition characterized by airflow limitation in the lungs, which is associated with numerous respiratory and cardiovascular complications. The aim of this study was to examine changes in pulse rate and signal complexity indices of the pulse in patients with COPD during hospitalization and compare them with healthy individuals.
Methods: In this study, the variability of pulse-pulse interval time series over a 30-minute period was analyzed using Multiscale entropy (MSE) and detrended fluctuation analysis (DFA) methods. The pulse oximetry data of 15 hospitalized patients with COPD during their hospitalization and discharge were examined and compared with data from 21 age- and sex-matched control subjects.
Results: The results showed that the pulse rate of patients diagnosed with COPD increased significantly both during hospitalization and after discharge compared to the control group (P < 0.001). In addition, complexity indices such as entropy (P < 0.05) and fractal correlation (P < 0.01) were found to be significantly reduced in these patients. These changes were observed both during hospitalization, when patients experienced symptom exacerbation, and at discharge, when their clinical condition had stabilized.
Conclusions: The results showed that the pulse signals of patients with COPD have reduced complexity and flexibility. Assessing changes in the complexity of these signals may serve as a valuable tool for monitoring and managing the condition of patients at different stages of the disease. Such methods may enable early detection of disease exacerbations and cardiac complications, thereby contributing to improved treatment outcomes and a reduction in disease-related complications.
Introduction: Chronic obstructive pulmonary disease (COPD) is a common condition characterized by airflow limitation in the lungs, which is associated with numerous respiratory and cardiovascular complications. The aim of this study was to examine changes in pulse rate and signal complexity indices of the pulse in patients with COPD during hospitalization and compare them with healthy individuals.
Methods: In this study, the variability of pulse-pulse interval time series over a 30-minute period was analyzed using Multiscale entropy (MSE) and detrended fluctuation analysis (DFA) methods. The pulse oximetry data of 15 hospitalized patients with COPD during their hospitalization and discharge were examined and compared with data from 21 age- and sex-matched control subjects.
Results: The results showed that the pulse rate of patients diagnosed with COPD increased significantly both during hospitalization and after discharge compared to the control group (P < 0.001). In addition, complexity indices such as entropy (P < 0.05) and fractal correlation (P < 0.01) were found to be significantly reduced in these patients. These changes were observed both during hospitalization, when patients experienced symptom exacerbation, and at discharge, when their clinical condition had stabilized.
Conclusions: The results showed that the pulse signals of patients with COPD have reduced complexity and flexibility. Assessing changes in the complexity of these signals may serve as a valuable tool for monitoring and managing the condition of patients at different stages of the disease. Such methods may enable early detection of disease exacerbations and cardiac complications, thereby contributing to improved treatment outcomes and a reduction in disease-related complications.
Type of Study: Original Atricle |
Subject:
Basic Sciences
Received: 2025/04/23 | Accepted: 2025/06/2
Received: 2025/04/23 | Accepted: 2025/06/2
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