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Updated: May 12, 2026

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结合CT-FFR和SYNTAX评分用于复杂冠状动脉疾病中主要心血管不良事件的预测模型开发

Weiqing Luo1,2, Chen Li1,2, Guangdong Yan1

  • 1Department of Cardiology, Guangzhou Red Cross Hospital of Jinan University, 396 Tongfu Middle Road, Haizhu District, Guangzhou, 510220, China.

Scientific reports
|February 28, 2025
PubMed
概括

这项研究开发了一种预测模型,用于评估复杂冠状动脉疾病 (CAD) 患者的一年重大不良心血管事件 (MACE) 风险. 该模型显示出强大的预测性能,使得早期风险分层和干预能够改善结果.

关键词:
冠状动脉CT衍生的分量流量储备冠状动脉疾病是一种冠状动脉疾病.功能性SYNTAX分数的得分主要的不良心血管事件.预测模型是一个预测模型.

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