在慢性缺血性左心室动脉瘤患者的不良结果中,基于CMR的风险分层
Kairui Bo1, Hui Wang1, Feifei Zhang2
1Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China (K.B., H.W., S.S., Y.G., Z.Z., S.L., L.X.).
Academic radiology
|June 19, 2025
概括
在慢性缺血性左室动脉瘤 (LVA) 中预测主要不良心血管事件 (MACE) 是至关重要的. 将临床数据与心脏磁共振 (CMR) 影像,特别是左心房应变 (LA-εa) 结合起来,可以改善风险预测.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 预测分析是一种预测分析.
背景情况:
- 慢性缺血性左心室动脉瘤 (LVA) 的预后不佳.
- 缺乏有效的临床工具来分层MACE在LVA患者的风险.
- 心脏磁共振 (CMR) 成像为风险评估提供了潜力.
研究的目的:
- 在慢性缺血性LVA患者中确定主要不良心血管事件 (MACE) 的独立风险因素.
- 开发一个整合临床和CMR特征的预测模型.
- 评估左心房应变 (LA-εa) 在风险预测中的附加值.
主要方法:
- 从1825名心肌梗塞患者的队列中,对243名慢性缺血性LVA患者进行了回顾性分析.
- 单变量和多变量考克斯回归,包括LASSO,以确定MACE预测因子.
- 构建一个包含显著临床和CMR变量的预测名录.
主要成果:
- 82名 (33.7%) 患者在中位数为2.6年的随访期间经历了MACE.
- 独立预测因素包括年龄,NYHA类,LVA直径,LGE程度和LA-εa.
- LA-εa显著改善了模型的歧视和重新分类 (p<0.001).
结论:
- 一个整合临床数据和CMR生物标志物的预测模型有效地识别了LVA中的MACE风险.
- 左心房应变 (LA-εa) 是不良结果的重要独立预测因素.
- 该模型增强了慢性缺血性LVA患者的风险分层.
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