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Breathing patterns. 2. Diseased subjects.

M J Tobin, T S Chadha, G Jenouri

    Chest
    |September 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

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    Breathing pattern analysis using respiratory inductive plethysmography can distinguish between healthy individuals and various respiratory conditions like COPD and asthma. Specific patterns help diagnose lung diseases and anxiety states.

    Area of Science:

    • Pulmonary Medicine
    • Respiratory Physiology

    Background:

    • Breathing pattern abnormalities are associated with various respiratory and non-respiratory conditions.
    • Accurate differentiation between these conditions is crucial for effective diagnosis and management.

    Purpose of the Study:

    • To investigate the diagnostic utility of breathing pattern analysis in differentiating between normal subjects and patients with specific pulmonary diseases and anxiety states.
    • To identify unique breathing pattern characteristics associated with conditions such as asthma, chronic obstructive pulmonary disease (COPD), restrictive lung disease, pulmonary hypertension, and anxiety.

    Main Methods:

    • Respiratory inductive plethysmography was employed to measure breathing patterns in normal subjects, asymptomatic smokers, and patients with symptomatic asthma, COPD, restrictive lung disease, pulmonary hypertension, and anxiety.

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  • Key respiratory parameters including respiratory rate, inspiratory time (TI), mean inspiratory flow (VT/TI), and fractional inspiratory time were analyzed.

    • Main Results:

    • Elevated respiratory rates were observed in smokers and patients with COPD, restrictive lung disease, and pulmonary hypertension, but not in asthmatic patients.
    • Increased mean inspiratory flow (VT/TI) indicated heightened respiratory center drive in smokers and patients with symptomatic asthma, COPD, restrictive lung disease, and pulmonary hypertension.
    • Distinctive patterns such as reduced fractional inspiratory time in smokers and COPD patients, and asynchronous rib cage-abdominal movements in COPD, were noted.

    Conclusions:

    • Breathing pattern analysis using respiratory inductive plethysmography offers valuable diagnostic discrimination among various disease states and normal individuals.
    • Specific alterations in respiratory rate, timing, and coordination can serve as biomarkers for differentiating pulmonary conditions and anxiety states.