Identifying the Core Symptoms in Chinese Patients of Chronic Obstructive Pulmonary Disease: A Contemporaneous Symptom Network Analysis.

Context: Patients with chronic obstructive pulmonary disease (COPD) exhibit various patterns of co-occurring complex symptoms. However, identifying core symptoms based on these distinct symptom patterns remains limited. Objective: The aims of this current study were to explore symptom subgroups among patients with COPD based on their unique symptom experiences and to identify the core symptoms within these subgroups, along with the correlation of these core symptoms with laboratory indicators. Methods: From May 2018 to December 2023, we recruited 252 participants with COPD through a convenience sample in China. Participants were investigated using the Revised Memorial Symptom Assessment Scale (RMSAS). Latent profile analysis (LPA) was conducted to identify symptom subgroups, while network analysis was used to reveal core symptoms among subgroups identified by LPA. Results: Based on symptom experiences, two subgroups of patients were identified: the "low" symptom burden subgroup and the "high" symptom burden subgroup. In both the total sample and the low symptom burden subgroup, "feeling sad" was identified as the core symptom, whereas "feeling drowsy" was the core symptom in the high symptom burden subgroup. The neutrophil-to-lymphocyte ratio was associated with the severity of drowsiness. Conclusion: This study highlights the heterogeneity among COPD patients with multiple symptoms, resulting in the identification of two distinct symptom subgroups. Addressing symptoms of sadness and drowsiness may serve as a crucial target for alleviating the overall symptom burden in individuals with COPD.