Symptom clusters in patients with breast cancer receiving radiation therapy

恶心 焦虑 医学 乳腺癌 萧条(经济学) 食欲 星团(航天器) 癌症 临床心理学 物理疗法 内科学 精神科 计算机科学 宏观经济学 经济 程序设计语言
作者
Selina Chow,Bo Wan,William Pidduck,Liying Zhang,Carlo DeAngelis,Stephanie Chan,Caitlin Yee,Leah Drost,Eric Leung,Philomena Sousa,Donna Lewis,Henry Lam,Ronald Chow,Michael Lock,Edward Chow
出处
期刊:European Journal of Oncology Nursing [Elsevier BV]
卷期号:42: 14-20 被引量:43
标识
DOI:10.1016/j.ejon.2019.07.004
摘要

Purpose Symptoms experienced by breast cancer patients often cluster together in groups known as “symptom clusters”. The aim was to determine the symptom clusters in women with non-metastatic breast cancer treated by radiation therapy (RT). Methods Edmonton Symptom Assessment Scale (ESAS) scores were taken from breast cancer patients receiving RT before, at completion of RT, and after RT. Exploratory factor analysis (EFA), principal component analysis (PCA), and hierarchical cluster analysis (HCA) were used to identify symptom clusters among the nine ESAS items at all three time points. Results This study included 1224 patients. The PCA and EFA identified the same two symptom clusters before the start of RT: 1) pain, tiredness, nausea, drowsiness, appetite, and dyspnea; 2) depression, anxiety, and wellbeing. The HCA further split the symptoms into three clusters. Wellbeing, depression, and anxiety consistently clustered together. Among the ESAS scores collected at the end of and after RT, each statistical method identified different symptom clusters. For the symptom clusters experienced at the end of RT, the following symptoms were always in the same cluster: wellbeing, depression, and anxiety; nausea and appetite; drowsiness and dyspnea. Following RT, depression and anxiety consistently clustered together, with nausea and appetite in a second cluster. Conclusion Among the symptom clusters derived before, at the end of RT, and after RT, the following symptoms consistently presented together: depression and anxiety, nausea and appetite, pain and tiredness, and drowsiness, dyspnea, and tiredness. Understanding symptom clusters in this population can improve management of symptoms.
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