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在查加斯心肌病症中,超过左心室喷射率的突然心脏死亡风险分层

Roberto Coury Pedrosa¹, João Paulo do Vale Madeiro², Alex C Alberto³

¹Cardiology Department, Clementino Fraga Filho University Hospital/Edson Saad Heart Institute-Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

Pacing and clinical electrophysiology : PACE

|December 23, 2023

概括

查加斯心肌病中突然心脏死亡 (SCD) 风险可以使用动作潜力持续恢复 (APDR) 动态预测. 该方法可以识别患有SCD高风险的患者,有助于临床决策.

科学领域:

心脏病学心脏病学
生物医学工程生物医学工程
医疗信息学医疗信息学

背景情况:

查加斯心肌病 (CC) 缺乏可靠的突然心脏死亡 (SCD) 风险标志物.
行动潜力持续恢复 (APDR) 动态提供了对心脏区域异质性的见解.
需要针对特定患者的算法来预测特定CC风险子组中的SCD.

研究的目的:

开发和验证一种针对患者的算法,用于预测Chagas心肌病的低至中等Rassi风险评分子组中的SCD.
评估APDR动态作为SCD风险分层的辅助工具的实用性.

主要方法:

一项横截面研究分析了221名患者 (1992-2017年) 的24小时霍尔特心电图数据.
从4小时的ECG段生成RR系列,以计算APDR动态指标.
使用了分类树和灵敏度分析,结合了34个变量和SCD结果.

主要成果:

与无SCD组相比,SCD组表现出增加的心室重塑和电动不稳定性.
在超过56.7%的4小时心电图段中,A %beats QTend/TendQ比率> 1有效地识别了SCD亚组中的患者 (AUC,0.96).
反映查加斯心肌病不同阶段的变量是显著的预测因素.

结论:

在特定的查加斯心肌病患者小组中,APDR动态可以作为SCD风险评估的有效辅助剂.
这种方法证明了在识别高风险的SCD患者和低风险的非心血管死亡时具有很高的歧视力.

关键词:

查加斯心肌病查加斯心肌病人工智能的人工智能是人工智能.查加斯病是查加斯病的一种疾病.植入式心脏转换器除器可以植入.突然的心脏病死亡.

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