识别肺癌化疗后患者的核心症状群及其相关因素：一项网络分析。
Identifying central symptom clusters and correlates in patients with lung cancer post-chemotherapy: A network analysis.
作者信息
Teng Liping, Zhou Zhou, Yang Yiting, Sun Jun, Dong Yajun, Zhu Min, Wang Teng
机构信息
Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Department of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
出版信息
Asia Pac J Oncol Nurs. 2024 Jan 20;11(4):100383. doi: 10.1016/j.apjon.2024.100383. eCollection 2024 Apr.
OBJECTIVE
This study aims to investigate the network structures of symptoms and symptom clusters in patients with lung cancer post-chemotherapy, with a focus on identifying the central symptom cluster. Understanding the central cluster is crucial for targeted and effective symptom management.
METHODS
Symptom occurrence and severity were assessed using the Memorial Symptom Assessment Scale (MSAS). Principal component analysis (PCA) was employed to explore symptom clusters, while network analysis unveiled the network structure and pinpointed the central symptom cluster.
RESULTS
The study included 512 patients with lung cancer. Four distinct symptom clusters emerged: sickness behavior, psychological, lung cancer-specific, and epithelial. The sickness behavior symptom cluster was identified as the central symptom cluster.
CONCLUSIONS
This research designates the sickness behavior symptom cluster as central in post-chemotherapy patients with lung cancer, offering valuable insights for clinical nurses in devising more effective symptom management strategies.
TRIAL REGISTRATION
ChiCTR2300070944 (Chinese Clinical Trial Register).
目的
本研究旨在调查肺癌化疗后患者症状及症状群的网络结构，重点识别核心症状群。了解核心症状群对于有针对性且有效地管理症状至关重要。
方法
使用纪念症状评估量表（MSAS）评估症状的发生情况及严重程度。采用主成分分析（PCA）探索症状群，同时通过网络分析揭示网络结构并确定核心症状群。
结果
该研究纳入了512例肺癌患者。出现了四个不同的症状群：疾病行为、心理、肺癌特异性和上皮相关症状群。疾病行为症状群被确定为核心症状群。
结论
本研究将疾病行为症状群确定为肺癌化疗后患者的核心症状群，为临床护士制定更有效的症状管理策略提供了有价值的见解。
试验注册
ChiCTR2300070944（中国临床试验注册中心）
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