患有心房的非抗凝血患者的表型和结果:无监督的集群分析
Arnaud Bisson1, Ameenathul M Fawzy2, Giulio Francesco Romiti3
1Service de cardiologie, centre hospitalier régional universitaire et faculté de médecine de Tours, 37000 Tours, France; Service de cardiologie, centre hospitalier régional universitaire d'Orléans, 45100 Orléans, France; EA4245, transplantation immunité inflammation, université de Tours, 37032 Tours, France; Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, L7 8TX Liverpool, United Kingdom.
Archives of cardiovascular diseases
|July 8, 2023
概括
集群分析揭示了三种不同的心房患者群体,每个患者都有独特的特征,并存在诸如中风和死亡等重大不良事件的不同风险.
科学领域:
- 心脏病学 心脏病学
- 临床数据科学 临床数据科学
背景情况:
- 心房 (AF) 患者群体表现出显著的临床异质性.
- 现有的分类可能无法完全捕捉AF患者的复杂性.
- 集群分析等数据驱动的方法提供了新的患者分层.
研究的目的:
- 通过集群分析,在心房动患者群体中识别不同的患者群.
- 评估这些已识别的集群与关键临床结果之间的关联.
主要方法:
- 对非抗凝血AF患者进行了聚合层次的集群分析.
- 考克斯回归分析评估了集群和复合结果之间的关联 (中风/全身栓塞/死亡,因任何原因死亡,严重出血).
主要成果:
- 从3434名非抗凝血AF患者中确定了三个患者群.
- 集群1:更年轻,更少的并发病. 集群2:年龄较大,永久性AF,心脏/心血管并发症. 集群3:年龄较大的女性,高CV并发症.
- 与集群1相比,集群2和3显示复合结果和全因死亡的风险显著增加. 集群3也有更高的重大出血风险.
结论:
- 集群分析成功地确定了三组不同的,统计驱动的心房患者群体.
- 这些已识别的集群具有独特的表型特征.
- 这些不同的集群与重大不良临床事件的差异性风险有关.
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