Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities

Area of Science:

• Pulmonology
• Clinical research
• Data analysis

Background:

• Chronic obstructive pulmonary disease (COPD) is a complex condition with varied clinical presentations.
• Understanding COPD heterogeneity is crucial for effective treatment and management.

Purpose of the Study:

• To identify distinct COPD patient subgroups (phenotypes) in an Asian cohort.
• To assess the distribution of these phenotypes across different regions.
• To evaluate changes in lung function and quality of life over one year within identified subgroups.

Main Methods:

• Factor analysis and hierarchical cluster analysis were applied to clinical data from 1676 COPD patients across 13 Asian cities.
• Key factors identified included body mass index, Charlson comorbidity index, St George's Respiratory Questionnaire (SGRQ) score, and forced expiratory volume in one second (FEV1).
• One-year changes in FEV1, dyspnea score, SGRQ score, and exacerbations were compared across identified subgroups.

Main Results:

• Cluster analysis revealed three distinct COPD subgroups characterized by differing disease severity and symptoms.
• Patients in subgroup 2 exhibited severe disease, more pronounced symptoms, frequent exacerbations, and the most rapid decline in FEV1 and SGRQ scores.
• The identified factors (BMI, comorbidity, SGRQ, FEV1) effectively differentiated these subgroups.

Conclusions:

• Three distinct COPD subgroups with varying severity and symptom profiles were identified in the Asian population.
• These subgroups demonstrate differential disease progression and impact on quality of life.
• The findings highlight the importance of phenotyping for personalized COPD management.