Zheng Dan-Dan, Jin Ting, Li Dan, Bao Kang-Ning, Jin Rui-Hua
Department of Nursing, Shan Xi Medical University, Taiyuan, China; Department of Nursing, Jin Zhou Medical University, Jinzhou, China.
Department of Chest Oncology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Semin Oncol Nurs. 2025 Feb;41(1):151794. doi: 10.1016/j.soncn.2024.151794. Epub 2024 Dec 19.
Lung cancer patients undergoing chemotherapy are present in multiple Nutrition Impact Symptoms (NIS). There have been no studies utilizing symptom networks to identify core NIS in lung cancer patients undergoing chemotherapy, it is necessary to identify core symptoms for effective and precise symptom management. We aimed to construct a symptom network of NIS in lung cancer patients receiving chemotherapy, and explore the core Nutrition Impact Symptoms cluster.
A cross-sectional survey was conducted among 315 patients with lung cancer. The Patient-Generated Subjective Global Assessment-Short Form was used to assess the prevalence and severity of NIS. We constructed a symptom network and identified centrality indexes using R packages.
Fatigue emerged as the most prevalent and severe symptom, affecting 87% of participants, with an intensity of 3.0 ± 1.3. The network density was measured at 0.5. Strength centrality showed a stability coefficient of 0.7, with fatigue (Rs = 0.73), lack of appetite (Rs = 1.02), and nausea (Rs = 0.70) ranking as the top three symptoms. For betweenness centrality, the stability coefficient was 0.3, highlighting fatigue (Rb = 12), lack of appetite (Rb = 34), and emotional change (Rb = 18) as the primary symptoms.
This study identified a core symptom cluster consisting of fatigue, lack of appetite, and emotional change. These findings provide valuable insights for developing targeted symptom management strategies and interventions for this patient population in the future.
Nurses need to comprehensively consider the interaction of multidimensional symptoms to provide lung chemotherapy cancer with targeted symptom management strategies and intervention guidance to reduce the burden of symptoms and improve quality of life.
接受化疗的肺癌患者存在多种营养影响症状（NIS）。目前尚无利用症状网络来识别接受化疗的肺癌患者核心NIS的研究，因此有必要识别核心症状以进行有效且精准的症状管理。我们旨在构建接受化疗的肺癌患者NIS症状网络，并探索核心营养影响症状集群。
对315例肺癌患者进行横断面调查。采用患者主观全面评定法简表评估NIS的发生率和严重程度。我们使用R软件包构建症状网络并确定中心性指标。
疲劳是最普遍且严重的症状，87%的参与者受其影响，强度为3.0±1.3。网络密度为0.5。强度中心性显示稳定性系数为0.7，疲劳（Rs = 0.73）、食欲缺乏（Rs = 1.02）和恶心（Rs = 0.70）位列前三位症状。对于中介中心性，稳定性系数为0.3，突出显示疲劳（Rb = 12）、食欲缺乏（Rb = 34）和情绪变化（Rb = 18）为主要症状。
本研究识别出由疲劳、食欲缺乏和情绪变化组成的核心症状集群。这些发现为未来针对该患者群体制定有针对性的症状管理策略和干预措施提供了有价值的见解。
护士需要全面考虑多维症状的相互作用，为肺癌化疗患者提供有针对性的症状管理策略和干预指导，以减轻症状负担并提高生活质量。
