进入ICU的缺血性中风患者呼吸衰竭的预测:基于MIMIC-IV数据库的回顾性分析
Zhenjun Liu1, Luolan Gui2, Qian Zhao1
1Department of Critical Care Medicine, Sichuan Cancer Center, School of Medicine, Sichuan Cancer Hospital and Institute, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China.
Brain and behavior
|December 23, 2025
概括
研究人员开发了一种名图,用于预测患有缺血性中风 (IS) 的重症监护病房 (ICU) 患者的呼吸衰竭. 该工具有助于对高风险IS患者进行早期干预,改善临床决策.
科学领域:
- 神经学 神经学
- 临界护理医学 临界护理医学
- 医疗信息学 医疗信息学
背景情况:
- 有限的研究存在于重症监护室 (ICU) 缺血性中风 (IS) 患者的呼吸衰竭风险.
- 早期识别高风险患者对于及时干预至关重要.
研究的目的:
- 开发和验证ICU入院IS患者呼吸衰竭的预测性名录.
- 为了确定IS患者有高风险的呼吸衰竭指导临床管理.
主要方法:
- 利用了密集护理医疗信息中心 (MIMIC) -IV数据库对IS患者的数据.
- 使用考克斯渐进回归来选择预测变量,并通过边缘结构考克斯模型 (MSCM) 对混因素进行调整.
- 使用校准曲线和接收器操作特征 (ROC) 曲线评估模型性能,在eICU协作研究数据库 (eICU-CRD) 中进行外部验证.
主要成果:
- 包括3462名IS患者 (2424名培训,1038名验证).
- 确定了关键预测因素:心脏病发作的位置,心房动,性酸酶 (ALP),离子间隙 (AG),乳酸脱酶 (LDH) 和Na2+度.
- 诺米图表表现出良好的预测性能,ROC曲线下的面积 (AUC-ROC) 值在数据集和时间点之间从0.687到0.839不等.
结论:
- 已开发了一种经过验证的诺米克图,用于预测ICU IS患者的呼吸衰竭.
- 该模型提供了有效的预测,为临床医生提供了宝贵的见解.
- 该工具支持对需要重症监护的IS患者进行增强的临床决策.
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