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Reference spirometric values using techniques and equipment that meet ATS recommendations

R O Crapo, A H Morris, R M Gardner

    The American Review of Respiratory Disease
    |June 1, 1981
    PubMed
    Summary
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    This study found that simple linear regression equations using height and age accurately predict lung function. These predictions are comparable to more complex models and can be used to establish normal spirometry values.

    Area of Science:

    • Pulmonary Medicine
    • Respiratory Physiology

    Background:

    • Spirometry is crucial for assessing lung function.
    • Standardized methods are needed for accurate interpretation of spirometry results.

    Purpose of the Study:

    • To establish normative values for spirometry in a healthy adult population.
    • To evaluate prediction equations for forced expiratory volumes and flows.

    Main Methods:

    • 251 healthy non-smoking adults underwent spirometry.
    • Measurements followed American Thoracic Society (ATS) guidelines.
    • Linear regression equations were developed using height and age.

    Main Results:

    • Linear regression equations with height and age predicted spirometric parameters effectively.

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  • Predicted values were similar to previous studies when adjusted for ATS methods.
  • Single 95% confidence intervals are proposed as a replacement for the 20% lower limit of normal.

    • Conclusions:

    • Simple regression equations are sufficient for predicting normal spirometry values.
    • The proposed method for determining the lower limit of normal is recommended.
    • Findings support the use of ATS-recommended techniques for spirometry.