循环生物标志物和基于磁共振的诺米图预测了扩张性心肌病的长期结果
Yupeng Liu1,2, Wenyao Wang3,4, Jingjing Song5
1Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
Chinese medical journal
|January 5, 2024
概括
这项研究开发了一种使用心脏成像和生物标志物预测扩张性心肌病 (DCM) 患者的死亡率或心脏移植风险的诺姆图,以帮助临床决策.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 生物标志物 生物标志物
背景情况:
- 扩张性心肌病 (DCM) 是心脏移植的主要原因,死亡率高.
- 准确的风险分层对于管理DCM患者至关重要.
研究的目的:
- 开发和验证用于预测DCM患者全因死亡率或心脏移植 (ACM/HTx) 的多参数名录.
- 提供个性化风险评估和临床决策的工具.
主要方法:
- 对218名DCM患者进行了回顾性队列研究.
- 利用了人口,临床,血液测试和心脏磁共振成像 (CMRI) 数据.
- 开发了一个使用LASSO和多变量考克斯回归的名图,通过C指数,AUC,校准曲线和DCA进行验证.
主要成果:
- 建立了一个包含八个变量 (CMRI和生物标志物) 的名图.
- 诺米图表表现出良好的预测性能,AUC在不同的时间点和队列中从0.770到0.859不等.
- 纳米图表显示了良好的准确性和临床实用性.
结论:
- 一种结合循环生物标志物和CMRI数据的新型诺米图有效预测DCM患者的ACM/HTx.
- 这种工具可以帮助个性化风险分层,并指导临床管理策略.
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