在重症监护室中患有 mitra 门障碍患者的28天死亡风险的预测性 nomogram:来自 MIMIC-III 数据库的全面评估
Yuxin Qiu1, Menglei Li2, Xiubao Song3
1Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
International journal of cardiology
|April 27, 2024
概括
一种新型的诺米图准确地通过识别关键风险因素来预测关节障碍 (MVD) 患者的28天死亡率. 这种工具有助于改善患者的预后,并指导早期干预,如通过导管更换米特拉.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 预测分析是一种预测分析.
背景情况:
- 中心门疾病 (MVD) 是最常见的门性心脏病.
- 目前还没有一个有效的临床指数来预测MVD死亡率.
- 准确的死亡率预测对于患者管理和治疗决策至关重要.
研究的目的:
- 开发和验证用于预测MVD患者28天死亡风险的诺姆图.
- 确定与MVD中短期死亡率相关的独立风险因素.
- 为了与现有的评分系统比较名ogram的性能.
主要方法:
- 利用来自MIMIC-III数据库的ICD-9代码来识别MVD患者.
- 采用LASSO和多变量后勤回归来识别风险因素并构建名图.
- 使用AUC,校准曲线,Hosmer-Lemeshow测试,IDI,NRI和DCA来评估名录表的性能.
主要成果:
- 在分析中包括2771名MVD患者.
- 确定了年龄,离子间隙,肌素,葡萄糖,BUN,尿液输出,SBP,呼吸速率,SpO2,GCS和转移性癌症作为独立的风险因素.
- 该名录显示了适当的校准和有利的歧视,超过了SAPSII,APSIII和SOFA分数.
结论:
- 成功开发了一个名图,用于预测MVD患者的28天死亡率.
- 诺米图识别了关键的独立风险因素,有助于改善预后.
- 这种工具可以支持早期干预治疗的决策,如TMVR和TMVI.
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