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Related Experiment Videos

Spirometry in the Lung Health Study. 1. Methods and quality control.

P L Enright1, L R Johnson, J E Connett

  • 1Mayo Clinic, Rochester, MN 55905.

The American Review of Respiratory Disease
|June 1, 1991
PubMed
Summary

The Lung Health Study ensured high-quality spirometry for smokers by controlling variables, minimizing lung function variability. This rigorous approach supports accurate FEV1 slope measurements for smoking intervention trials.

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Area of Science:

  • Pulmonary Medicine
  • Clinical Trials
  • Respiratory Health

Background:

  • The Lung Health Study is a clinical trial investigating smoking cessation and bronchodilator effects on lung function decline.
  • Accurate spirometry is crucial for detecting changes in FEV1 slope in smokers with airflow limitation.

Purpose of the Study:

  • To evaluate the effectiveness of a spirometry quality control program in minimizing short-term intraindividual FEV1 variability.
  • To ensure reliable FEV1 slope measurements for the Lung Health Study.

Main Methods:

  • Implemented a stringent spirometry testing protocol controlling for participant preparation, maneuver acceptability, technician training, equipment calibration, and result processing.
  • Conducted spirometry on 5,887 smokers aged 35-60 during three screening visits.

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  • Monitored technician performance and conducted site visits to maintain quality.
  • Main Results:

    • Mean intraindividual FEV1 variability was 119 ml in women and 162 ml in men (5.8% coefficient of variation).
    • Over 97.9% of test sessions achieved acceptable FVC maneuvers with reproducible FEV1 values.
    • Site visits and performance monitoring correlated with improved and sustained high-quality spirometry grades.

    Conclusions:

    • The spirometry quality control program successfully minimized short-term intraindividual FEV1 variability.
    • The established protocol ensures the reliability of FEV1 slope measurements, crucial for the Lung Health Study's objectives.
    • Rigorous quality control is essential for the validity of findings in large-scale respiratory clinical trials.