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Related Concept Videos

Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

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Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
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Asthma-II: Pathophysiology and Classification01:26

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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.
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Asthma-IV: Diagnostic and Management01:30

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Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

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Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
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Factors Affecting Pulmonary Ventilation01:19

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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.
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Physical Assessment of the Respiratory Tract II: Inspection01:27

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Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
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Conducting Respiratory Oscillometry in an Outpatient Setting
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Changes in quantifiable breathing pattern components predict asthma control: an observational cross-sectional study.

Panagiotis Sakkatos1, Anne Bruton2, Anna Barney3

  • 1School of Health Sciences, University of Southampton, Southampton, UK. sakkatosp@yahoo.gr.

Asthma Research and Practice
|April 7, 2021
PubMed
Summary
This summary is machine-generated.

Breathing pattern variability, not absolute values, predicts asthma control. Irregular breathing patterns measured by respiratory rate (RR) and thoracoabdominal (TA) motion indicate poor asthma control, offering objective assessment beyond subjective questionnaires.

Keywords:
Asthma ControlBreathing PatternsPhysiological MarkerWithin-Subject Variability

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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
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Area of Science:

  • Pulmonary Medicine
  • Respiratory Physiology
  • Asthma Management

Background:

  • Breathing pattern disorders are common in uncontrolled asthma.
  • Current assessment relies on subjective questionnaires.
  • Objective measures of breathing patterns may enhance asthma control evaluation.

Purpose of the Study:

  • To investigate if respiratory timing and thoracoabdominal (TA) motion can predict and classify asthma control.
  • To determine the utility of objective breathing pattern measures in asthma management.

Main Methods:

  • 122 asthma patients (GINA Step 2-5) were assessed using the Asthma Control Questionnaire (ACQ7).
  • Breathing patterns (respiratory rate (RR), Ti/Te, RCampe/ABampe) were measured using Structured Light Plethysmography (SLP).
  • Analysis included mean values and within-subject variability (Coefficient of Variance, CoV%) with logistic regression and ROC analysis.

Main Results:

  • Absolute mean breathing pattern values showed limited predictive power (R²=0.09), with only mean RR significant.
  • Within-subject variability (CoV%) of breathing components strongly predicted asthma control (R²=0.45).
  • Specific CoV% cut-offs for RR, Ti/Te, and RCampe/ABampe differentiated controlled from uncontrolled asthma.

Conclusions:

  • The variability of respiratory timing and TA motion effectively predicts asthma control.
  • Increased breathing pattern variability is linked to uncontrolled asthma.
  • Objective assessment of breathing irregularity can serve as an indicator of poor asthma control.