新的心电学分类用于预测心脏病发作,心脏病转换的心房动患者
Arto Relander1, Ilkka Ruohonen1, Samuli Jaakkola1
1Heart Center, Turku University Hospital and University of Turku, Turku, Finland.
Heart rhythm
|April 27, 2024
概括
电心电图P波异常有效预测心脏转变后心房 (AF) 患者中风或全身栓塞 (SSE). 这种新的P波分类为AF管理提供了宝贵的预后见解.
科学领域:
- 心脏病学 心脏病学
- 电力生理学 电力生理学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 心房动 (AF) 和中风与心房肌动脉传导,结构和功能异常有关.
- 在AF患者,特别是低风险个体中,电心电图 (ECG) 指数对中风或心脏转变后系统血栓塞 (SSE) 的预测价值尚未得到充分确立.
研究的目的:
- 系统评估P波异常 (PWA) 以预测30天和AF患者CV后长期SSE风险.
- 开发和验证PWA的基于ECG的新型分类.
主要方法:
- 手动审查1773个心电图从AF患者经历急性CV.
- 使用30天后CV数据推导一个复合PWA变量.
- 在非抗凝血患者中长期验证心电图发现,并对心房附属体活检进行基因病理分析.
主要成果:
- 一个复合PWA变量结合了延长的P波,偏移的P波形态在II线,二相P波在下线,增加的P终端力表现出最佳性能.
- 在验证队列中,广泛的PWA预测了SSE (调整后危险比率,每类2.1;P<.001) 在4.9年的中位随访期间.
- PWA和CHA2DS2-VASc得分的组合显示出SSE的优异预测能力 (AUC在3年内为0.86). 广泛的PWA与间歇性纤维化相关.
结论:
- 一种新的心电学PWA分类为AF患者提供了重要的额外预后信息.
- 这种分类可以帮助风险分层和AF患者进行心脏转变的管理决策.
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