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Original Research

Distinct symptom experiences in subgroups of patients with COPD

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Pages 1801-1809 | Published online: 02 Aug 2016
 

Abstract

Background

In addition to their respiratory symptoms, patients with COPD experience multiple, co-occurring symptoms.

Objectives

The aims of this study were to identify subgroups of COPD patients based on their distinct experiences with 14 symptoms and to determine how these subgroups differed in demographic and clinical characteristics and disease-specific quality of life.

Patients and methods

Patients with moderate, severe, and very severe COPD (n=267) completed a number of self-report questionnaires. Latent class analysis was used to identify subgroups of patients with distinct symptom experiences based on the occurrence of self-reported symptoms using the Memorial Symptom Assessment Scale.

Results

Based on the probability of occurrence of a number of physical and psychological symptoms, three subgroups of patients (ie, latent classes) were identified and named “high”, “intermediate”, and “low”. Across the three latent classes, the pairwise comparisons for the classification of airflow limitation in COPD were not significantly different, which suggests that measurements of respiratory function are not associated with COPD patients’ symptom burden and their specific needs for symptom management. While patients in both the “high” and “intermediate” classes had high occurrence rates for respiratory symptoms, patients in the “high” class had the highest occurrence rates for psychological symptoms. Compared with the “intermediate” class, patients in the “high” class were younger, more likely to be women, had significantly more acute exacerbations in the past year, and reported significantly worse disease-specific quality of life scores.

Conclusion

These findings suggest that subgroups of COPD patients with distinct symptom experiences can be identified. Patients with a higher symptom burden warrant more detailed assessments and may have therapeutic needs that would not be identified using current classifications based only on respiratory function.

Acknowledgments

We are grateful to all the patients and clinicians who contributed to this study, especially the research nurses Gunilla Solbakk, Mari-Ann Øvreseth, and Britt Drægni. This study was funded by the South-Eastern Norway Regional Health Authority (2009055).

Disclosure

The authors report no conflicts of interest in this work.