Symptom clusters and its network analysis of patients undergoing Systemic Lupus Erythematosus
Objective To describe the symptom clusters of Systemic Lupus Erythematosus(SLE)patients and explore the relation-ship between symptoms within the clusters by network analysis,so as to provide evidence for symptom management.Methods A total of 201 SLE patients were selected by convenience sampling.General Information Questionnaire and SLE Symptom Checklist were used to investigate the patients.Exploratory factor analysis(EFA)was used to extract symptom clusters.Network analysis charts and symptom center index charts were drawn by J ASP software to analyze the relationship between symptoms in clusters.Results SLE patients had the highest incidence of fatigue(64.7％).Five symptom clusters were extracted:fatigue-related symptom cluster,weight-related symptom cluster,itch-pain related symptom cluster,skin change symptom cluster,and body image symp-tom cluster.After network analysis,we found that the strength and closeness of allergy to sunlight were the highest among all clusters,and the betweenness of mood change was the highest.Conclusion SLE patients have symptom clusters,and the influence intensity of each symptom is different.Clinical staff should pay close attention to the symptoms of patients,and change other symptoms related to them in the group by improving the core symptoms,so as to improve the quality of life of patients.
Systemic Lupus Erythematosussymptom clustersymptom managementallergy to sunlightmood changefatiguebody massnetwork analysis
NETL
NSTL
万方数据
