中国癌症防治杂志2025，Vol.17Issue(5)：590-597,8.DOI:10.3969/j.issn.1674-5671.2025.05.10
乳腺癌患者卵巢功能抑制治疗期间的核心症状及症状群网络分析
Network analysis of core symptoms and symptom clusters in breast cancer patients undergoing ovarian function suppression therapy
摘要
Abstract
Objective To investigate the symptom clusters,interrelationships among symptoms,and core symptoms in breast cancer patients undergoing ovarian function suppression(OFS)therapy,with the objective of establishing a theoretical foundation for precise symptom management.Methods Convenience sampling was used to select 1,132 breast cancer patients who received OFS therapy at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from October 2023 to July 2024.General information questionnaire and symptom burden scale were used for the investigation.Exploratory factor analysis was employed to identify symptom clusters,and R language was used to construct the symptom network to analyze indicators of symptom strength(rs),closeness(rc),and betweenness(rb).Results The most common symptoms among breast cancer patients undergoing OFS therapy were hotflashes(98.1％),anxiety mood(97.9％),and irritability(97.8％).Ten distinct symptom clusters were identified:psychological,musculoskeletal,sexual,skin,sleep,nervous,somatic,vasomotor,vaginal,and gastrointestinal.Symptom network analysis showed that the top three symptoms by strength were vaginal dryness(rs=1.265),hot flashes(rs=1.232),and night sweats(rs=1.204);the top three by closeness were night sweats(rc=0.00210),hot flashes(rc=0.00204),and myalgia(rc=0.00195);and the top three by betweenness were night sweats(rb=93.000),hot flashes(rb=77.000),and vaginal dryness(rb=63.000).Conclusions Vaginal dryness,hot flashes,and night sweats are identified as core symptoms within the symptom network of breast cancer patients undergoing OFS therapy.It is recommended that healthcare professionals closely monitor the changes in these symptoms and implement targeted interventions based on the characteristics of symptom clusters and the network influence of core symptoms,so as to enhance symptom management outcomes.关键词
乳腺癌/卵巢功能抑制/症状群/核心症状/症状网络Key words
Breast cancer/Ovarian function suppression/Symptom clusters/Core symptoms/Symptom network分类
医药卫生引用本文复制引用
陈允允,李元,吴清,方琼..乳腺癌患者卵巢功能抑制治疗期间的核心症状及症状群网络分析[J].中国癌症防治杂志,2025,17(5):590-597,8.基金项目
上海市健康科普人才能力提升专项项目(JKKPYL-2024-A06) （JKKPYL-2024-A06）
上海交通大学医学院附属瑞金医院护理科研基金项目[RJKH(Y)-2024-021)] （Y）
