在患有妇科癌症的患者中,使用预先指定的症状集群识别不同的症状概况
Marilyn J Hammer1, Bruce A Cooper2, Lee-May Chen3
1Dana-Farber Cancer Institute, Boston, MA, USA.
概括
这项研究确定了两组患有妇科癌症的患者亚组,他们经历了不同的症状负担. 年轻患者的症状负担较高,生活质量和功能状况较差.
科学领域:
- 在瘤学瘤学.
- 症状科学 症状科学
- 心理社会瘤学
背景情况:
- 妇科癌症患者经常经历诸如疼痛,疲劳,睡眠障碍和抑郁症等衰弱症状.
- 这些症状经常同时出现,形成症状集群,显著影响生活质量.
研究的目的:
- 根据同时出现的症状 (疼痛,疲劳,睡眠障碍,抑郁症) 的情况,确定妇科癌症患者的不同亚组.
- 为了比较人口统计学和临床特征,以及其他症状严重程度和生活质量 (QOL) 结果在已识别的子组之间.
主要方法:
- 隐形形状分析用于根据预先指定的症状集群识别患者子组.
- 在第二或第三次化疗周期之前,向233名患者提供了症状问卷.
- 使用参数和非参数测试来分析子组之间的差异.
主要成果:
- 确定了两个不同的子组:一个低症状负担组 (64.8%) 和一个高症状负担组 (35.2%).
- 高症状负担组的患者年轻,有照顾孩子的责任,失业,收入较低,BMI较高,并发病率较高,功能状况较低.
- 症状负担较高的组报告了焦虑增加,能量和认知功能下降,质量生活质量较差.
结论:
- 该研究确定了与妇科癌症患者症状负担较高相关的可修改和不可修改的风险因素.
- 研究结果表明,临床医生可以利用这些信息来促进针对性干预的转诊,例如营养和物理治疗支持.
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