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Original Research

Sputum cell count: biomarkers in the differentiation of asthma, COPD and asthma–COPD overlap

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Pages 2703-2710 | Published online: 11 Sep 2017

Figures & data

Table 1 Patient demographics and baseline characteristics

Table 2 Spirometry results of the patients

Table 3 Results of induced sputum cells of the patients

Table 4 Results of induced sputum cells in the stage of COPD, ACO and asthma

Figure 1 Scatter plots of correlations between sputum eosinophils, BHR and bronchodilator reversibility.

Notes: (A) Correlation between the percentage of sputum eosinophils and PD20 (mg). (B) Correlation between the percentage of sputum eosinophils and ΔFEV1 (mL); Δ, improvement in FEV1 after 400 μg of salbutamol.
Abbreviations: BHR, bronchial hyperresponsiveness; FEV1, forced expiratory volume in 1 second; PD20, provocative dose.
Figure 1 Scatter plots of correlations between sputum eosinophils, BHR and bronchodilator reversibility.

Table 5 Results of ROC analysis of induced sputum cells in the discovery cohort

Figure 2 ROC curve for induced sputum cell counts in ACO versus COPD (A), asthma versus COPD (B), ACO versus asthma (C).

Abbreviations: ACO, asthma–COPD overlap; ROC, receiver operating characteristic.
Figure 2 ROC curve for induced sputum cell counts in ACO versus COPD (A), asthma versus COPD (B), ACO versus asthma (C).