接受内分泌治疗的乳腺癌患者的症状:隐性特征分析和网络分析的应用
Xiaoge He1, Chunlei Liu1, Huanxi Li2
1School of Nursing, Hebei University, Baoding, Hebei Province, China.
概括
乳腺癌的内分泌治疗会引起各种症状. 识别患者子组及其核心症状,如关节疼痛或疲劳,可以制定有针对性的管理策略.
科学领域:
- 在瘤学瘤学.
- 症状科学 症状科学
- 心理神经免疫学 心理神经免疫学
背景情况:
- 内分泌疗法是乳腺癌治疗的基石.
- 接受内分泌治疗的患者往往会经历一系列的症状,这些症状会影响生活质量.
- 了解症状异质性对于有效的患者护理至关重要.
研究的目的:
- 根据在内分泌治疗期间的症状困扰来确定乳腺癌患者的不同亚组.
- 阐明这些已识别的子组内的症状网络和核心症状.
- 为制定个性化的症状管理策略提供信息.
主要方法:
- 一项涉及中国406名接受内分泌治疗的乳腺癌患者的横截面研究.
- 利用潜质分析来将患者分为症状子组.
- 采用网络分析来确定每个子组内的核心症状.
主要成果:
- 确定了两个主要子组:低症状困扰 (74%) 和高症状困扰 (26%).
- 与高症状困扰相关的因素包括年龄较大,收入较低和没有放射治疗.
- "难以集中注意力"成为整个样本的核心症状.
- 核心症状因子组而异:"缺乏能量"用于低危机和"关节疼痛"用于高危机.
结论:
- 接受内分泌治疗的乳腺癌患者的症状经历是多样化的.
- 不同的子组表现出独特的核心症状,需要定制的干预措施.
- 基于子组特征和核心症状的个性化症状管理可以提高治疗结果.
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