在老年AHF患者中开发AMI的预测名录:一个回顾性分析
Qili Yu1, Tingting Song1, Rui Cui1
1Department of Cardiology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Frontiers in medicine
|July 24, 2025
概括
这项研究开发了一种预测模型,用于识别急性心肌梗塞 (AMI) 高风险的老年患者在急性心力衰竭 (AHF) 住院期间. 该模型有助于早期检测和临床决策,以获得更好的患者结果.
科学领域:
- 心脏病学 心脏病学
- 老年病的医生 老年病的医生
- 医疗信息学 医疗信息学
背景情况:
- 患有急性心力衰竭 (AHF) 的老年患者经历急性心肌梗塞 (AMI) 面临严重的疾病和不良预后.
- 早期识别风险因素对于及时干预这一脆弱人群至关重要.
研究的目的:
- 分析与AHF住院的老年患者的AMI相关的风险因素.
- 开发和验证早期AMI风险评估的临床预测模型.
主要方法:
- 在2019年10月至2023年12月期间住院的1,904名老年AHF患者的回顾性分析.
- 利用LASSO和后勤回归来确定AMI的独立风险因素.
- 构建了一个名录模型,并使用AUC,ROC,决策曲线分析和临床影响曲线验证了其预测性能.
主要成果:
- 确定了年龄,冠心病,糖尿病,肺部感染,心室节律失常,高脂血症,低albuminemia,左心室静脉直径 (LVDD) 和左心室射出分数 (LVEF) 作为AMI的独立风险因素.
- 开发的预测模型表现出强的性能,AUC为0.780,准确率为91.3%,特异性为91.4%.
结论:
- 成功开发了一种强大的多变量预测模型,用于老年住院AHF患者的AMI风险.
- 该模型是临床医生提供一个有价值的工具,以促进早期风险识别和干预,改善患者管理.
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