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Original Research

Burden of disease associated with a COPD eosinophilic phenotype

, , , , , , & show all
Pages 2425-2433 | Published online: 13 Aug 2018

Figures & data

Table 1 Demographic characteristics and comorbidities in the MT population, 2012–2015

Figure 1 Proportions of patients in subgroups of clinical interest* for the calendar years 2012 (A), 2013 (B), 2014 (C), and 2015 (D).

Notes: (A) 2012; MT population N=2,802. (B) 2013; MT population N=2,822. (C) 2014; MT population N=2,847. (D) 2015; MT population N=2,858. *Discrepancies between the sum of patients in the 3 subgroups of clinical interest and the MT population each year are accounted for by patients in the MT population who did not meet the criteria for any subgroup of clinical interest.
Abbreviation: MT, maintenance therapy.
Figure 1 Proportions of patients in subgroups of clinical interest* for the calendar years 2012 (A), 2013 (B), 2014 (C), and 2015 (D).

Table 2 Annual all-cause health care resource utilization by blood eosinophil count cohort (2012–2015)

Figure 2 COPD-related health care resource utilization by blood eosinophil count cohort for years 2012–2015.

Notes: Statistically significant differences between cohorts are indicated as *P≤0.01, **P≤0.001. Error bars show standard error.
Abbreviation: ER, emergency room.
Figure 2 COPD-related health care resource utilization by blood eosinophil count cohort for years 2012–2015.

Figure 3 Multivariate analysis of COPD-related and all-cause annual medical costs for patients with blood eosinophil counts <150 cells/µL and ≥150 cells/µL, either with exacerbations (A) or without exacerbations (B).

Notes: Numbers show adjusted* cost differences, 95% CIs, and adjusted P-values. *Adjusting for age, gender, insurance type, BMI, blood pressure, calendar year, asthma, malignant neoplasm of respiratory and intrathoracic system, rheumatoid arthritis, Crohn’s disease, systemic lupus erythematosus, multiple sclerosis, allergic rhinitis, respiratory infections, chronic sinusitis, diabetes, cardiovascular disease, acute sinusitis, atopic dermatitis, eosinophilic granulomatosis with polyangiitis, nasal polyps, hypereosinophilic syndrome, eosinophilic esophagitis, bacterial infections, CCI score, and triple therapy use.
Abbreviations: BMI, body mass index; CCI, Quan-Charlson comorbidity index.
Figure 3 Multivariate analysis of COPD-related and all-cause annual medical costs for patients with blood eosinophil counts <150 cells/µL and ≥150 cells/µL, either with exacerbations (A) or without exacerbations (B).

Figure 4 Multivariate analysis of COPD-related and all-cause annual medical costs for patients with and without exacerbations, with either blood eosinophil count <150 cells/µL (A) or ≥150 cells/µL (B).

Notes: Numbers show adjusted* cost differences, 95% CIs, and adjusted P-values. *Adjusting for age, gender, insurance type, BMI, blood pressure, calendar year, asthma, malignant neoplasm of respiratory and intrathoracic system, rheumatoid arthritis, Crohn’s disease, systemic lupus erythematosus, multiple sclerosis, allergic rhinitis, respiratory infections, chronic sinusitis, diabetes, cardiovascular disease, acute sinusitis, atopic dermatitis, eosinophilic granulomatosis with polyangiitis, nasal polyps, hypereosinophilic syndrome, eosinophilic esophagitis, bacterial infections, CCI score, and triple therapy use.
Abbreviations: BMI, body mass index; CCI, Quan-Charlson comorbidity index.
Figure 4 Multivariate analysis of COPD-related and all-cause annual medical costs for patients with and without exacerbations, with either blood eosinophil count <150 cells/µL (A) or ≥150 cells/µL (B).