ArticleInternational journal of chronic obstructive pulmonary disease2025
Symptom Network and Subgroup Analysis in Patients with Exacerbation of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.
Article in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Network analysis of symptom clusters among patients with pulmonary tuberculosis: a cross-sectional study.BMC infectious diseases · 2026Article
- Symptom clusters and symptom network analysis of patients after anterior cervical spine surgery: a cross-sectional study.Scientific reports · 2026Article
- A longitudinal study on the correlation between symptom clusters and disease-specific health status in older adults with chronic obstructive pulmonary disease during pulmonary rehabilitation.Frontiers in public health · 2026Article
- Symptom network analysis during radiotherapy in gastrointestinal cancers: A longitudinal study primarily involving esophageal cancer patients.Asia-Pacific journal of oncology nursing · 2025Article
- State of the "Art" in Precision Health Symptom Science Research.Seminars in oncology nursing · 2025Review
- The relationship between the development trajectory of symptom burden and exercise adherence during remote pulmonary rehabilitation in olderly patients with COPD.Frontiers in medicine · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
Purpose: This study aims to construct a contemporaneous symptom network of inpatients with Exacerbation of Chronic Obstructive Pulmonary Disease (ECOPD) based on the symptom cluster, identify core and bridge symptoms, and patient subgroups with different symptom clusters based on individual differences in the intensity of patient symptom experiences. Patients and Methods: This study used convenience sampling to collect demographic, symptom, auxiliary examination, and prognosis information of 208 inpatients with ECOPD from April 2022 to October 2023. The data underwent exploratory factor analysis (EFA), symptom network analysis, latent class analysis (LCA), Spearman correlation analysis, Wilcoxon signed-rank test, single-factor regression and multiple-factor stepwise regression. Results: In hospitalized patients with ECOPD, symptom network analysis revealed that loss of appetite was the core symptom, while chest distress was the bridge symptom. Through LCA analysis, two symptom subgroups were identified: a high-symptom group (53.8%) and a low-symptom group (46.2%). This suggests that there is significant heterogeneity in symptom experience among ECOPD individuals. Patients in the high-symptom group had a higher probability of experiencing symptom clusters related to nutrition-sleep. Conclusion: The combination of symptom network analysis and LCA comprehensively captures the symptom/symptom cluster characteristics and accounts for the heterogeneity of ECOPD patients from both individual and group perspectives. This study identifies core symptoms, bridge symptoms, and symptom subgroups, offering valuable insights for precision symptom management in ECOPD.
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