在非缺血性扩张性心肌病中预测不良结果:基于CMR的名谱
Xiaorui Xiang1, Kankan Zhao2, Xiuyu Chen1
1MR Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
International journal of cardiology
|June 25, 2023
概括
一个新的诺莫图谱得分预测了非血扩张性心肌病 (NIDCM) 患者的主要不良心脏事件. 该工具结合了临床数据和心脏MRI发现,以改善风险评估和长期结果预测.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 预测建模预测建模
背景情况:
- 非缺血扩张性心肌病 (NIDCM) 是心力衰竭的重要原因之一.
- 准确预测主要心脏不良事件 (MACE) 对患者管理至关重要.
- 现有的预测模型可能无法完全整合全面的临床和成像数据.
研究的目的:
- 开发和验证一种新型的诺米克图谱评分,用于预测NIDCM患者的MACE.
- 为了结合临床变量和心磁共振 (CMR) 成像功能.
- 在NIDCM中为长期风险分层提供一个工具.
主要方法:
- 追溯招募335名接受CMR的NIDCM患者.
- 收集临床数据和CMR成像,包括晚期加多增强 (LGE) 和特征追踪 (FT).
- 随机划分为开发 (70%) 和验证 (30%) 群组,用于名ogram构建和测试.
主要成果:
- MACE发生在37.2%的发展队列和30.7%的验证队列中.
- 确定了五个关键预测因素:NYHA III-IV类,NT-proBNP,β阻塞剂使用,LGE存在,以及LV全球纵向菌株 (GLS).
- 该名图表表现出良好的区分和校准,用于预测1年,3年和5年的MACE概率.
结论:
- 一种结合临床和成像数据的新型名谱有效预测NIDCM中的MACE.
- 诺米图为NIDCM患者的风险评估提供了一个方便的工具.
- 这种预测模型可以帮助临床决策和NIDCM患者管理.
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