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开发和验证一种预后模型,用于预测ST段升高心肌梗塞 (STEMI) 患者的出院后死亡风险,这些患者正在接受一次性穿皮冠状动脉干预 (PPCI)

Lingling Zhang¹, Zhican Liu^1,2, Yunlong Zhu^1,2,3

¹Department of Cardiology, Xiangtan Central Hospital, Xiangtan, 411100, China.

Journal of cardiothoracic surgery

|March 30, 2024

概括

一个新的风险预测模型准确地识别了ST段升高心肌梗塞 (STEMI) 患者在一次性皮肤穿透冠状动脉干预 (PPCI) 后12个月和24个月的死亡风险. 关键预测因素包括年龄,基利普分类,NTpro-BNP,LVEF和ACEI/ARB/ARNI使用.

科学领域:

心脏病学心脏病学
医疗信息学医疗信息学
临床预测模型临床预测模型

背景情况:

在接受初级穿皮冠状动脉干预 (PPCI) 的ST段升高心肌梗塞 (STEMI) 患者中预测出院后的死亡率至关重要,但具有挑战性.
现有的模型可能无法完全捕捉到这个人群中死亡风险的复杂性.

研究的目的:

开发和验证PPCI后STEMI患者12个月和24个月死亡率的稳健风险预测模型.
确定这个患者群体中出院后死亡率的关键预测因素.

主要方法:

对664名接受PPCI的STEMI患者进行了回顾性分析.
使用最小绝对收缩和选择运算符 (LASSO) 回归的预测模型的开发.
使用接收机操作特征 (ROC) 曲线和决策曲线分析 (DCA) 验证模型.

主要成果:

拉索回归确定了五个重要的预测因素:年龄,基利普分类,NTpro-BNP,LVEF和ACEI/ARB/ARNI使用.
该模型在培训和验证队列中表现出强大的预测准确性,具有高一致性指数 (C指数) 和曲线下的面积 (AUC) 值.
决策曲线分析证实了开发的名图的临床实用性和净益处.

结论:

开发的诺米克图是预测PPCI接受STEMI患者出院后死亡率的有希望的工具.
建议进行进一步的外部和时间验证,以确认其广泛适用性和临床实用性.

关键词:

所有原因的死亡风险决策曲线分析 (DCA)最小绝对收缩和选择运营商 (LASSO)预测模型是一个预测模型.在ST段升高心肌梗塞 (STEMI) 中.

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