癌症患者生命末期的纵向症状网络模式
Sahand Mostajeran1, Elnaz Nasirzadeh2, Ayoub Mohammadian1
1Department of Information Technology Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.
Scientific reports
|November 23, 2025
概括
了解息性癌症护理中的症状网络至关重要. 软弱和认知问题等关键症状始终影响患者,而恶心/吐和焦虑/抑郁等其他症状仍然相互联系,指导更好的终身护理.
科学领域:
- 抚慰性护理是一种缓解性护理.
- 在瘤学瘤学.
- 症状科学 症状科学
背景情况:
- 临终癌症患者面临复杂的,相互作用的身体和心理症状.
- 有效的息治疗需要了解这些症状的联系,以提高生活质量.
研究的目的:
- 分析癌症患者在最后几个月接受息治疗的症状相互作用和网络结构.
- 识别关键症状和随着时间的推移而变化的症状集群,接近生命的终点.
主要方法:
- 利用了来自8026名在息治疗中的癌症患者的26318次医疗访问的大数据集.
- 采用网络分析,特别是伊辛模型,在六个死亡前的时间段绘制症状关系.
- 应用中心性措施和Walktrap算法来识别关键症状和症状群体.
主要成果:
- 症状的重要性和关系在生命末期的不同阶段各不相同.
- 软弱,认知问题和外表问题一直是中心症状.
- 在恶心和吐之间,以及焦虑和抑郁之间,发现了持久的强烈联系.
- 在观察到的时间段中,出现了五个不同的症状社区,并在观察到的时间段内演变.
结论:
- 临近生命末期的症状相互作用是动态的,阶段特定的.
- 识别中心症状和持续症状集群为量身定制的息干预提供了目标.
- 这些见解可以提高患者的舒适度,并促进更和平的死亡过程.
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