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基于器官相互作用轨迹的亚表型化败血症使用深度时图集群模型:一个回顾性队列研究
Xue Feng1, Lei Sun2, Jintao Zhu1
1College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China.
EClinicalMedicine
|January 7, 2026
概括
研究人员根据动态器官相互作用模式确定了三个不同的败血症表型. 这些发现揭示了异质的疾病进展,使得个性化治疗策略和改善了败血症患者的临床决策.
科学领域:
- 计算生物学是一种计算生物学.
- 医疗信息学医学信息学
- 系统生物学 系统生物学
背景情况:
- 败血症是一种复杂的综合征,其特点是多器官功能障碍.
- 了解动态的器官间相互作用对于败血症亚表型和向治疗至关重要.
- 目前的方法缺乏探索动态器官相互作用轨迹.
研究的目的:
- 量化败血症子类型的动态器官相互作用轨迹.
- 根据这些动态模式来定义不同的败血症表型.
- 支持个性化治疗和毒症管理中的临床决策.
主要方法:
- 开发了一个深度时间图集群模型,以分析诊断后48小时内器官相互作用.
- 在MIMIC-III和eICU数据集上训练并验证了模型.
- 比较表型的特征,器官系统合和结果;用于XGBoost进行早期分类并评估流体管理效应.
主要成果:
- 确定了三种不同的败血症表型 (A,B,C),其特征,器官合和结果有显著差异.
- 类型A的死亡率较低 (5.59%) 与同步器官改善;类型C的死亡率最高 (38.27%) 与迅速的异步到同步过渡.
- 该模型实现了强大的外部验证和高预测性能 (AUROC 0.84),用于早期表型分类.
结论:
- 使用器官相互作用动态来表征败血症表型,揭示了三种异质的进展模式.
- 这些模式为败血症病理生理学提供了新的见解,有助于临床试验设计和资源分配.
- 研究结果强调需要表型特定的治疗策略,包括流体管理.
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Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart rate...

