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在门诊LVAD患者中对不良事件的动态风险估计:MOMENTUM 3分析

Palak Shah¹, Gabriel Sayer², Shashank S Sinha¹

¹Inova Schar Heart and Vascular, Falls Church, Virginia, USA.

JACC. Heart failure

|July 27, 2024

概括

一个新的动态风险模型准确地预测了患有左心室辅助装置 (LVAD) 的患者30天内胃肠道出血,中风或死亡的风险. 该工具通过在新数据出现时对患者风险进行分层来帮助临床决策.

科学领域:

心血管医学和外科手术
生物医学工程生物医学工程
临床风险预测预测

背景情况:

与血液相容性相关的不良事件在左心室辅助装置 (LVAD) 植入后很常见.
在LVAD患者中预测这些不良事件仍然是一个重大的临床挑战.

研究的目的:

开发和验证使用多状态模型的动态风险建模方法.
预测在门诊LVAD患者中胃肠道出血 (GIB),中风或死亡的风险.

主要方法:

对MOMENTUM 3试验的二次分析,该试验涉及HeartMate 3 LVAD接受者,在医院出院后被跟踪长达2年.
使用多变量逻辑回归,开发了一种包含145个初始变量的多态模型.
在验证队列中使用曲线下的面积 (AUC) 评估模型性能,并创建了一个风险分层工具.

主要成果:

最终的多状态模型包括39个变量来预测GIB (16个变量),中风 (10个变量) 和死亡 (19个变量).
植入后2年,GIB的发病率为25.6%,中风为6.0%,死亡为12.3%.
该模型在预测30天事件风险方面表现出强大的预测性能,AUC为GIB的0.70,中风的0.69和死亡的0.86.

结论:

开发的多状态模型有效地告知了在门诊LVAD接受者30天的风险评估.
该模型允许随着新患者特定数据的可用性而进行动态风险重新计算.
这种工具有助于准确的风险分层,可能指导临床决策,以预防不良事件.

关键词:

不良事件不良事件不良事件左心室辅助装置的使用多州模式的模型.风险预测风险预测

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