COPD exacerbations and patient-reported outcomes according to post-bronchodilator FEV(1) - a post-hoc analysis of pooled data.
Management strategies of chronic obstructive pulmonary disease (COPD) need to be tailored to the forced expiratory volume in one second (FEV1), exacerbations, and patient-reported outcomes (PROs) of individual patients. In this study, we analyzed the association and correlation between the FEV1, exacerbations, and PROs of patients with stable COPD.
This was a post-hoc analysis of pooled data from two cross-sectional studies that were previously conducted in Malaysia from 2017 to 2019, the results of which had been published separately. The parameters measured included post-bronchodilator FEV1 (PB-FEV1), exacerbations, and scores of modified Medical Research Council (mMRC), COPD Assessment Test (CAT), and St George's Respiratory Questionnaire for COPD (SGRQ-c). Descriptive, association, and correlation statistics were used.
Three hundred seventy-four patients were included in the analysis. The PB-FEV1 predicted was < 30% in 85 (22.7%), 30-49% in 142 (38.0%), 50-79% in 111 (29.7%), and ≥ 80% in 36 (9.6%) patients. Patients with PB-FEV1 < 30% predicted had significantly more COPD exacerbations than those with PB-FEV1 30-49% predicted (p < 0.001), 50-79% predicted (p < 0.001), and ≥ 80% predicted (p = 0.002). The scores of mMRC, CAT, and SGRQ-c were not significantly higher in patients with more severe airflow limitation based on PB-FEV1 (p = 0.121-0.271). The PB-FEV1 predicted had significant weak negative correlations with exacerbations (r = - 0.182, p < 0.001), mMRC (r = - 0.121, p = 0.020), and SGRQ-c scores (r = - 0.114, p = 0.028). There was a moderate positive correlation between COPD exacerbations and scores of mMRC, CAT, and SGRQ-c (r = 0.407-0.482, all p < 0.001). There were significant strong positive correlations between mMRC score with CAT (r = 0.727) and SGRQ-c scores (r = 0.847), and CAT score with SGRQ-c score (r = 0.851) (all p < 0.001).
In COPD patients, different severity of airflow limitation was not associated with significant differences in the mMRC, CAT, and SGRQ-c scores. Exacerbations were significantly more frequent in patients with very severe airflow limitation only. The correlation between airflow limitation with exacerbations, mMRC, and SGRQ-c was weak.
Chai CS
,Ng DL
,Bt Mos S
,Ibrahim MAB
,Tan SB
,Pang YK
,Liam CK
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《BMC Pulmonary Medicine》
Is the COPD assessment test (CAT) effective in demonstrating the systemic inflammation and other components in COPD?
Chronic obstructive pulmonary disease (COPD) is currently a complex, multicomponent disorder. The COPD Assessment Test (CAT) has been increasingly used to assess COPD patients. This study aims to investigate the relationship between CAT and inflammation markers and other COPD components.
We enrolled 110 stable COPD patients and 65 control subjects in this study. All patients completed the CAT questionnaire and the modified Medical Research Council (mMRC) dispnea scale. The quality of life of these patients was measured with St. George's Respiratory Questionnaire (SGRQ). Levels of TNFα, IL-6, CRP were determined in blood samples.
In COPD patients, serum levels of TNFα (109.5 ± 58 pg/ml), IL-6 (10.3 ± 18 pg/ml), and C-reactive protein (CRP) (1.6 ± 1.7 mg/L) were found to be significantly higher compared to controls (TNF-α: 14.6 ± 18 pg/ml, IL-6: 2.14 ± 1.9 pg/ml, CRP: 0.4 ± 0.3mg/L, p<0.001). These markers were correlated with smoking (r from 0.27 to 0.35, p<0.001), FEV1 (r from -0.39 to -0.57, p<0.001), FVC (r from -0.32 to -0.37, p<0.001) and FEV1/FVC (r from -0.31 to -0.66, p<0.001). The CAT score correlated with GOLD spirometric stages, mMRC dyspnea score, number of exacerbations in the previous year and FEV1 (p<0.001). There was a significant correlation between levels of CRP and the CAT score (r=0.43, p<0.001) but no similar relationship between levels of TNFα and IL-6 and the CAT was observed.
Systemic inflammation persists in the stable period of COPD. CRP, one of the inflammation markers, was correlated with the CAT. Further studies are required to confirm the relationship between CAT and biomarkers.
Sarioglu N
,Hismiogullari AA
,Bilen C
,Erel F
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