开发,验证和亚型分析的预测模型,以预测心房在患有多变性心肌病的患者心房动
Ailian Shen1, Jing Xu2, Qiucang Xue3
1Department of Radiology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, 210008 Nanjing, Jiangsu, China.
Reviews in cardiovascular medicine
|December 8, 2025
概括
通过使用多参数心脏磁共振 (CMR) 模型,可以预测高性心肌病 (HCM) 中的心房动 (AF) 风险. 该模型包含特定的指标和亚型分析,用于个性化的患者监测和早期干预.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 生物统计学 生物统计学
背景情况:
- 心房动 (AF) 是高性心肌病 (HCM) 的重要并发症,影响患者的预后.
- 现有的HCM中AF风险预测模型往往缺乏全面的心磁共振 (CMR) 成像指标和亚型特定细节.
研究的目的:
- 开发和验证一个多参数CMR模型,用于预测HCM患者的AF风险.
- 在整体HCM队列和特定HCM亚型 (阻塞性和非阻塞性) 中识别AF的独立预测因子.
主要方法:
- 对405名HCM患者 (2019-2024) 的回顾性分析,其中86人被诊断为AF.
- 使用最小绝对收缩和选择运算符 (LASSO) 和多变量后勤回归来识别AF预测因子,排除高度相关的变量.
- 用接收机操作特征 (ROC) 曲线,校准图和决策曲线分析来评估模型性能,并对阻塞性 (HOCM) 和非阻塞性 (HNCM) HCM进行子组分析.
主要成果:
- 在整体HCM队列中,AF的关键预测因素包括右心脏直径 (前后心脏),左心室末缩体积,隔膜环状平面缩外流 (MAPSE隔膜),三环状平面缩外流 (TAPSE) 和最大左心脏体积 (MaxLAV).
- 开发的CMR模型表现出强大的预测性能,在训练集中曲线下的面积 (AUC) 为0.850,在验证集中为0.861.
- 具体预测因HCM亚型而异:HOCM的隔膜MAPSE和左心房喷射率 (LAEF),HNCM的隔膜MAPSE,MaxLAV和右心房喷射率 (RAEF).
结论:
- 一个经验证的多参数CMR模型准确地预测HCM患者的AF风险.
- 确定了特定亚型的预测因素,使得量身定制的监测策略成为可能.
- 这些发现支持个性化风险评估和HCM中AF的早期干预.
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