用于预测心下梗塞患者28天死亡风险的诺莫图
Menglei Li1,2, Beiping Song3, Xianjing Zeng1
1Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Frontiers in cardiovascular medicine
|June 30, 2025
概括
这项研究开发了一种名谱,用于预测心下肌梗塞 (SEMI) 患者的28天死亡率. 新模型识别了关键的风险因素,并优于现有的评分系统,改善了SEMI患者的预后.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
背景情况:
- 脑下心肌梗塞 (SEMI) 是一种严重的心脏病发作形式.
- 现有的临床指数预测SEMI死亡率是不够的.
- 需要一个用于预测SEMI患者结果的预测工具.
研究的目的:
- 开发和验证一个用于预测SEMI患者28天死亡率的诺姆图.
- 确定与SEMI死亡率相关的独立风险因素.
- 为了比较nomogram的性能与已建立的评分系统.
主要方法:
- 使用MIMIC-III数据库通过ICD-9代码识别患者.
- 采用LASSO和多变量后勤回归来识别风险因素.
- 构建了一个名图,并使用AUC,校准曲线,IDI,NRI和DCA评估其性能.
主要成果:
- 包括3046名SEMI患者;确定了年龄,GCS,肌,血红素,血红蛋白,INR,BUN,尿液输出,心率,呼吸率,SpO2,PVD,糖尿病并发症和固体瘤作为危险因素.
- 与APSIII,SAPSII和SOFA相比,在训练和验证组中,名图表显示出更高的预测性能 (AUC).
- IDI,NRI和DCA证实了名图的优越净效益和重新分类能力.
结论:
- 在SEMI患者中成功确定了28天死亡率的独立风险因素.
- 开发了一种用于预测SEMI死亡率的新型名录.
- 诺米图表显示了改善临床决策和SEMI患者预后的前景.
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