Literature DB >> 21565988

Airflow pattern complexity and airway obstruction in asthma.

Juliana Veiga1, Agnaldo J Lopes, José M Jansen, Pedro L Melo.   

Abstract

The scientific and clinical value of a measure of complexity is potentially enormous because complexity appears to be lost in the presence of illness. The authors examined the effect of elevated airway obstruction on the complexity of the airflow (Q) pattern of asthmatic patients analyzing the airflow approximate entropy (ApEnQ). This study involved 11 healthy controls, 11 asthmatics with normal spirometric exams, and 40 asthmatics with mild (14), moderate (14), and severe (12) airway obstructions. A significant (P < 0.02) reduction in the ApEnQ was observed in the asthmatic patients. This reduction was significantly correlated with spirometric indexes of airway obstruction [FEV(1) (%): R = 0.31, P = 0.013] and the total respiratory impedance (R = -0.39; P < 0.002). These results are in close agreement with pathophysiological fundamentals and suggest that the airflow pattern becomes less complex in asthmatic patients, which may reduce the adaptability of the respiratory system to perform the exercise that is associated with daily life activities. This analysis was able to identify respiratory changes in patients with mild obstruction with an adequate accuracy (83%). Higher accuracies were obtained in patients with moderate and severe obstructions. The analysis of airflow pattern complexity by the ApEnQ was able to provide new information concerning the changes associated with asthma. In addition, this analysis was also able to contribute to the detection of the adverse effects of asthma. Because these measurements are easy to perform, such a technique may represent an alternative and/or a complement to other conventional exams to help the clinical evaluations of asthmatic patients.

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Year:  2011        PMID: 21565988     DOI: 10.1152/japplphysiol.00267.2011

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  9 in total

1.  Fluctuation analysis of respiratory impedance waveform in asthmatic patients: effect of airway obstruction.

Authors:  J Veiga; A J Lopes; J M Jansen; P L Melo
Journal:  Med Biol Eng Comput       Date:  2012-09-27       Impact factor: 2.602

2.  COPD Patients Have a Restricted Breathing Pattern That Persists with Increased Metabolic Demands.

Authors:  Jennifer M Yentes; Farahnaz Fallahtafti; William Denton; Stephen I Rennard
Journal:  COPD       Date:  2020-04-17       Impact factor: 2.409

3.  Effect of Rho-kinase inhibition on complexity of breathing pattern in a guinea pig model of asthma.

Authors:  Saeed Pazhoohan; Mohammad Reza Raoufy; Mohammad Javan; Sohrab Hajizadeh
Journal:  PLoS One       Date:  2017-10-31       Impact factor: 3.240

4.  Respiratory resistance and reactance in adults with sickle cell anemia: Part 2-Fractional-order modeling and a clinical decision support system for the diagnosis of respiratory disorders.

Authors:  Cirlene de Lima Marinho; Maria Christina Paixão Maioli; Jorge Luis Machado do Amaral; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  PLoS One       Date:  2019-03-07       Impact factor: 3.240

Review 5.  Handgrip Strength and Pulmonary Disease in the Elderly: What is the Link?

Authors:  Tatiana Rafaela Lemos Lima; Vívian Pinto Almeida; Arthur Sá Ferreira; Fernando Silva Guimarães; Agnaldo José Lopes
Journal:  Aging Dis       Date:  2019-10-01       Impact factor: 6.745

Review 6.  Entropy Change of Biological Dynamics in Asthmatic Patients and Its Diagnostic Value in Individualized Treatment: A Systematic Review.

Authors:  Shixue Sun; Yu Jin; Chang Chen; Baoqing Sun; Zhixin Cao; Iek Long Lo; Qi Zhao; Jun Zheng; Yan Shi; Xiaohua Douglas Zhang
Journal:  Entropy (Basel)       Date:  2018-05-24       Impact factor: 2.524

7.  Entropy Analysis for the Evaluation of Respiratory Changes Due to Asbestos Exposure and Associated Smoking.

Authors:  Paula M Sá; Hermano A Castro; Agnaldo J Lopes; Pedro L Melo
Journal:  Entropy (Basel)       Date:  2019-02-27       Impact factor: 2.524

8.  Classification of Asthma Based on Nonlinear Analysis of Breathing Pattern.

Authors:  Mohammad Reza Raoufy; Tara Ghafari; Reza Darooei; Milad Nazari; Seyed Alireza Mahdaviani; Ali Reza Eslaminejad; Mehdi Almasnia; Shahriar Gharibzadeh; Ali R Mani; Sohrab Hajizadeh
Journal:  PLoS One       Date:  2016-01-29       Impact factor: 3.240

9.  Reduced expiratory variability index (EVI) is associated with controller medication withdrawal and symptoms in wheezy children aged 1-5 years.

Authors:  Ville-Pekka Seppä; Marita Paassilta; Juho Kivistö; Anton Hult; Jari Viik; Javier Gracia-Tabuenca; Jussi Karjalainen
Journal:  Pediatr Allergy Immunol       Date:  2020-03-17       Impact factor: 6.377

  9 in total

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