Ethnic- and sex-free formulae for detection of airway obstruction

Am J Respir Crit Care Med. 2006 Sep 1;174(5):493-8. doi: 10.1164/rccm.200604-517OC. Epub 2006 Jun 15.

Abstract

Rationale: Spirometric detection of airway obstruction in adults requires separate predictive formulae for each ethnicity and sex for percentage of FEV(1)/FVC (%FEV(1)/FVC) and percentage of FEV(3)/FVC (%FEV(3)/FVC), the major measurements for defining airway obstruction.

Objectives: To eliminate the need for multiple formulae for black, Latin, and white men and women by developing single formulae with less variance than current formulae for %FEV(1)/FVC and %FEV(3)/FVC.

Methods: Data from nearly 6,000 healthy never-smokers 20.0-79.9 yr of age in the Third National Health and Nutrition Examination Survey were reevaluated mathematically and graphically based on the preliminary hypothesis that predictive normal FEV(1)/FVC and FEV(3)/FVC ratios could be calculated from the age and FVC alone, without considering ethnicity, sex, or height. Current and new formulae were evaluated, first considering the population as consisting of 36 equally weighted subgroups (6 decades x 3 ethnicities x 2 sexes) and then weighting each individual equally.

Measurements and results: For each year of age, the slope of %FEV(1)/FVC versus FVC approximated -1.8%/l/yr; the slope of %FEV(3)/FVC versus FVC approximated -0.8%/l/yr. After trial and error iterations, the optimal formulae were %FEV(1)/FVC = 98.8 - 0.25 x years - 1.79 x FVC and %FEV(3)/FVC = 105.4 - 0.20 x years - 0.75 x FVC.

Conclusions: These two new predicting formulae for %FEV(1)/FVC and %FEV(3)/FVC, which require only age and FVC as variables, approximate actual values closer than previously published separate formulae for each ethnicity and sex. With 95% confidence limits, they should allow better discrimination between normality and airway obstruction in adults of at least these three ethnicities.

MeSH terms

  • Adult
  • African Americans / statistics & numerical data*
  • Age Factors
  • Aged
  • Algorithms*
  • European Continental Ancestry Group / statistics & numerical data*
  • Female
  • Forced Expiratory Volume / physiology
  • Hispanic Americans / statistics & numerical data*
  • Humans
  • Lung Diseases, Obstructive / diagnosis*
  • Lung Diseases, Obstructive / epidemiology
  • Lung Diseases, Obstructive / physiopathology
  • Male
  • Middle Aged
  • Nutrition Surveys
  • Predictive Value of Tests
  • Sex Factors
  • Vital Capacity / physiology