在急性心力衰竭中非侵入性福雷斯特分类的临床实用性来自PREDICT研究
Tomonori Takahashi1, Hiroyuki Iwano2, Kentaro Shibayama3
1Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan.
The American journal of cardiology
|September 21, 2023
概括
福雷斯特分类,使用多普勒心声学,可以预测急性心力衰竭 (HF) 患者的早期恶化. 低心脏指数 (CI) 概况 (III和IV) 表明在住院期间出现不良结果的风险明显更高.
科学领域:
- 心脏病学 心脏病学
- 心声回声扫描 (Echocardiography) 是一种心声回声扫描.
- 心脏衰竭病理生理学 病理生理学
背景情况:
- 福雷斯特分类对于了解急性心力衰竭 (HF) 严重程度和预后至关重要.
- 通过多普勒心声学进行非侵入性血液动力学测量是评估HF患者的关键.
研究的目的:
- 评估福雷斯特分类对急性HF患者短期预后的预测准确度.
- 评估多普勒心声谱衍生参数在分层高频风险中的实用性.
主要方法:
- 日本的一项前性多中心研究 (PREDICT) 招募了270名急性HF患者.
- 患者根据心脏指数 (CI) 和心声回声学E/e'比率被分为4个Forrester概况.
- 考克斯的比例危险模型分析了14天内所有原因死亡率或恶化HF的复合结果.
主要成果:
- 22%的患者在14天内经历了复合结果.
- 与个人资料I相比,福雷斯特 III和IV (低CI) 患者的风险明显更高 (aHR分别为5.85和6.50).
- 福雷斯特分类有效地识别了高风险患者.
结论:
- 福雷斯特分类,使用入院时的非侵入性多普勒回声心脏学,可以预测住院急性HF患者的早期恶化.
- 低心脏指数是急性HF中不良结果的重要预测因素.
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