The relationship between FEV1 and peak expiratory flow in patients with airways obstruction is poor

Chest. 2006 Nov;130(5):1454-61. doi: 10.1378/chest.130.5.1454.

Abstract

Study objectives: To evaluate the correlation between FEV1 and peak expiratory flow (PEF) values expressed as a percentage of their predicted value, and to assess factors influencing differences between the two measurements.

Design: Cross-sectional.

Setting: Pulmonary function laboratory at a tertiary-level teaching hospital in northern India.

Participants: A total of 6,167 adult patients showing obstructive pattern on spirometry over a 6-year period.

Interventions: None.

Measurements and results: There was considerable variability between percentage of predicted FEV1 (FEV1%) and percentage of predicted PEF (PEF%). Locally weighted least-square modeling revealed that PEF% underestimated [corrected] FEV1% in patients with less severe obstruction and overestimated [corrected] it in those with more severe obstruction. Using Bland-Altman analysis, PEF% underestimated FEV1% by a mean of only 0.7%; however, limits of agreement were wide (- 27.4 to + 28.8%), indicating that these two measurements cannot be used interchangeably. PEF% and FEV1% were > 5% apart in approximately three fourths and differed by > 10% in approximately one half of the patients. On multivariate analysis, discordance > 5% was significantly influenced by female gender (odds ratio, 1.26; 95% confidence interval [CI], 1.01 to 1.58) and increasing FEV1% (odds ratio, 1.09 for every 10% increase; 95% CI, 1.04 to 1.14) but not by height or age.

Conclusions: FEV1% and PEF% are not equivalent in many patients, especially women and those with less severe airflow limitation. Assumptions of parity between PEF% and FEV1% must be avoided.

Publication types

  • Evaluation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Airway Obstruction / physiopathology*
  • Cross-Sectional Studies
  • Female
  • Forced Expiratory Volume / physiology*
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Peak Expiratory Flow Rate / physiology*
  • Predictive Value of Tests
  • Regression Analysis