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Original Research

Peak expiratory flow rate as a surrogate for forced expiratory volume in 1 second in COPD severity classification in Thailand

, , , , , , & show all
Pages 1213-1218 | Published online: 25 Jun 2015

Figures & data

Table 1 Baseline characteristics of all COPD patients

Figure 1 Correlation between FEV1 and PEFR in patients with COPD.

Notes: (A) Correlation between % predicted FEV1 and % predicted PEFR (r=0.76, P<0.001); (B) correlation between absolute value of FEV1 and PEFR (r=0.87, P<0.001).
Abbreviations: FEV1, forced expiratory volume in 1 second; PEFR, peak expiratory flow rate.
Figure 1 Correlation between FEV1 and PEFR in patients with COPD.

Table 2 Comparison between % predicted FEV1 and % predicted PEFR in each category of airflow limitation

Figure 2 Histogram showing the near-normal distribution of differences between % predicted FEV1 and PEFR in COPD patients.

Abbreviations: FEV1, forced expiratory volume in 1 second; PEFR, peak expiratory flow rate.

Figure 2 Histogram showing the near-normal distribution of differences between % predicted FEV1 and PEFR in COPD patients.Abbreviations: FEV1, forced expiratory volume in 1 second; PEFR, peak expiratory flow rate.

Figure 3 Bland–Altman plot highlighting magnitude of difference between % predicted FEV1 and PEFR.

Note: Horizontal dashed lines represent the mean bias and its 95% confidence limits. Abbreviations: FEV1, forced expiratory volume in 1 second; PEFR, peak expiratory flow rate.
Figure 3 Bland–Altman plot highlighting magnitude of difference between % predicted FEV1 and PEFR.

Table 3 Concordance between categorization of severity of airflow limitation based on % predicted FEV1 and % predicted PEFR in COPD patients