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Original Research

Mixed Th2 and non-Th2 inflammatory pattern in the asthma–COPD overlap: a network approach

, , , , , , , , , , , , , & show all
Pages 591-601 | Published online: 12 Feb 2018

Figures & data

Table 1 Characteristics of patients according to the baseline diagnosis

Figure 1 Flowchart diagram of recruitment process.

Abbreviations: ACO, asthma–COPD overlap; COPD, chronic obstructive pulmo nary disease. FEV1, forced expiratory volume in the first second; FVC, forced vital capacity.
Figure 1 Flowchart diagram of recruitment process.

Table 2 Biomarker values according to the baseline diagnosis

Figure 2 Cytokine concentrations in asthma, ACO, and COPD.

Notes: *p<0.05 vs asthma; **p<0.001 vs asthma.
Abbreviations: ACO, asthma–COPD overlap; COPD, chronic obstructive pulmonary disease; TNF-α, tumor necrosis factor-α.
Figure 2 Cytokine concentrations in asthma, ACO, and COPD.

Figure 3 Scatterplot of the combination of values from discriminant scores 1 and 2 as compared to each patient’s COAD category.

Abbreviations: COAD, chronic obstructive airway disease; COPD, chronic obstructive pulmonary disease; COPD-e, COPD with eosinophilia; NSA, nonsmoking asthmatics; SA, smoking asthmatics.
Figure 3 Scatterplot of the combination of values from discriminant scores 1 and 2 as compared to each patient’s COAD category.

Figure 4 Network layout of inflammome in asthma, COPD, and ACO.

Abbreviations: ACO, asthma–COPD overlap; COPD, chronic obstructive pulmonary disease; FeNO, fractional exhaled nitric oxide; TNF-α, tumor necrosis factor-α.
Figure 4 Network layout of inflammome in asthma, COPD, and ACO.

Table 3 Blood biomarkers in Th2-high and Th2-low patients

Table 4 Biomarker ROC and best cutoff point to predict Th2-high or Th2-low patterns

Table S1 Biomarker AUC in the ROC for the diagnosis of the different COAD categories, alone and in combination