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Related Concept Videos

Factors Affecting Pulmonary Ventilation01:19

Factors Affecting Pulmonary Ventilation

Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
Alveolar Surface Tension
The alveolar fluid lines the luminal surface of the alveoli and exerts a force called surface tension. This force is caused by the polar water molecules in the liquid being more strongly attracted to each...
Asthma I: Introduction01:28

Asthma I: Introduction

Asthma is a chronic inflammatory disorder of the airways characterized by variable airflow obstruction and heightened bronchial responsiveness to a wide range of triggers. The underlying inflammation leads to airway swelling, mucus hypersecretion, and smooth muscle constriction, all of which narrow the airway lumen and impede airflow. Clinically, asthma presents with recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing, symptoms that typically vary in intensity and...
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
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Asthma III: Clinical Manifestations01:13

Asthma III: Clinical Manifestations

Asthma presents with a characteristic pattern of episodic respiratory symptoms that reflect underlying airway inflammation, bronchoconstriction, and mucus hypersecretion. Although severity varies among individuals, certain clinical manifestations are considered hallmarks of the disorder and often guide diagnosis and assessment.Respiratory SymptomsA persistent cough is one of the most common early features of asthma. It is frequently dry and tends to worsen at night or in the early morning,...
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Asthma-III: Symptoms and Complications

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Updated: Jun 2, 2026

A Microfluidic Model of Biomimetically Breathing Pulmonary Acinar Airways
09:39

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Published on: May 9, 2016

Airflow pattern complexity and airway obstruction in asthma.

Juliana Veiga1, Agnaldo J Lopes, José M Jansen

  • 1Biomedical Instrumentation Laboratory, Institute of Biology and Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|May 14, 2011
PubMed
Summary

Asthma reduces airflow complexity, impacting respiratory system adaptability. Airflow approximate entropy (ApEnQ) analysis accurately detects these changes, aiding asthma diagnosis and management.

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Area of Science:

  • Respiratory Physiology
  • Biomedical Engineering
  • Pulmonary Medicine

Background:

  • Illness, such as asthma, is associated with a loss of physiological complexity.
  • Measuring airflow complexity may offer new insights into respiratory conditions.

Purpose of the Study:

  • To investigate the effect of airway obstruction severity on airflow complexity in asthma.
  • To evaluate the utility of airflow approximate entropy (ApEnQ) in assessing asthma-related changes.

Main Methods:

  • Analyzed airflow patterns using ApEnQ in healthy controls and asthmatic patients across different obstruction levels (mild, moderate, severe).
  • Correlated ApEnQ values with standard spirometric measures like FEV(1) and total respiratory impedance.

Main Results:

  • Asthmatic patients exhibited significantly reduced ApEnQ compared to healthy controls (P < 0.02).
  • Decreased ApEnQ correlated significantly with increased airway obstruction (FEV(1) and impedance).
  • ApEnQ analysis achieved 83% accuracy in detecting respiratory changes in mild asthma, with higher accuracy for moderate/severe cases.

Conclusions:

  • Asthma leads to a less complex airflow pattern, potentially impairing respiratory system adaptability.
  • ApEnQ analysis provides valuable, easily obtainable data for detecting asthma-related respiratory changes and aiding clinical evaluation.