关键词: 淋巴瘤, 症状群, 网络分析, 护理

Abstract: Objective: By using network analysis methods, a concurrent symptom network for lymphoma patients was constructed to identify the symptom clusters and to explore the core symptoms within the symptom networks as well as the bridge symptoms that connect different symptom clusters in the patients. Methods: Patients admitted to the lymphoma department of a tertiary grade A hospital in Tianjin by using the convenient sampling method. The investigation was conducted using the general information questionnaire and lymphoma patient symptom assessment scale. The network of 23 symptoms was conducted by using R4.3.2, and the symptom groups were identified through the network clustering algorithm. Centrality indicators and bridge centrality indicators were calculated to determine the core symptoms and bridge symptoms. Results: The patients had 5 symptom clusters, including gastrointestinal tract symptom cluster, chemotherapy side-effect symptom cluster, skin-metabolism symptom cluster, systemic symptom cluster of the disease, and mood-sleep symptom cluster. Chemotherapy side effects were the most severe symptom cluster for patients. In the symptom networks, anxiety (r_S= 1.23), decreased appetite (r_S=1.20), and hiccups (r_S=1.14) were the three symptoms with the highest strength, while anxiety (r_BS=8.83), sadness (r_BS=8.73), and hiccups (r_BS=8.34) were the three symptoms with the highest bridge strength. Conclusion: Lymphoma patients have multiple symptom clusters during treatment, and anxiety is the most central symptom in the symptom networks, as well as a central bridge symptom that connects different symptom clusters. It is recommended that healthcare professionals focus assessment and intervention on the core and bridge symptoms during treatment, thereby improving the efficiency and precision of symptom management for lymphoma patients.

Key words: Lymphoma, Symptom cluster, Network analysis, Nursing care