Abstract
Context
Limited studies have identified symptom clusters (SCs) and their risk factors and
the relationships with inflammatory biomarkers in patients with acute exacerbation
of chronic obstructive pulmonary disease (AECOPD).
Objectives
In this study, we aimed to investigate SCs in patients with AECOPD and explore their
influencing factors and relationships with inflammatory biomarkers.
Methods
Data were collected with sociodemographic and disease information questionnaires,
and symptoms were measured with the revised Memorial Symptom Assessment Scale. SCs
were extracted through exploratory factor analysis. Logistic regression analysis was
conducted to explore the risk factors of SCs.
Results
A total of 151 patients were recruited. Two SCs, namely, emotional and respiratory
functional SCs, were identified. Logistic regression analysis showed that individuals
with high C-reactive protein level, Charlson Comorbidity Index score, and high modified
Medical Research Council Dyspnea Scale score were more likely to belong to the high-severity
symptom subgroup than to the low-severity symptom group in the emotional SC. The patients
with a low body mass index and without or lax inhaled drug therapy exhibited highly
prominent predictors of membership in the high-severity symptom group of the respiratory
functional SC.
Conclusion
Symptoms experienced by patients with AECOPD were grouped into specific clusters.
Targeted interventions should be performed based on SCs, and influencing factors and
biological mechanisms should be considered when providing individualized approaches
and interventions.
Key Words
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Article info
Publication history
Published online: April 07, 2020
Accepted:
March 27,
2020
Identification
Copyright
© 2020 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.
