败血症相关脑病变的诊断模型:一个全面的系统性审查和元分析
Tengfei Zhou1,2, Xinming Tian2, Wei Wang1
1Department of Emergency, The First Hospital of Jilin University, Changchun, Jilin, China.
Frontiers in neurology
|August 18, 2025
概括
败血症相关脑病变 (SAE) 的预测模型显示中度准确性但质量差. 未来的模型需要标准化的定义,前性数据和临床使用的TRIPOD合规性.
科学领域:
- 关键护理医学 关键护理医学
- 神经学 神经学
- 生物统计学 生物统计学
背景情况:
- 败血症相关脑病变 (SAE) 是败血症的一个常见并发症.
- 准确预测SAE对于及时干预和改善患者结果至关重要.
- 现有的SAE预测模型在性能和方法严谨性方面存在很大差异.
研究的目的:
- 系统地评估已发布的SAE预测模型的性能和方法质量.
- 确定当前模型的局限性,并为未来的发展提供指导.
- 评估现有的SAE预测工具的临床适用性.
主要方法:
- 对SAE预测模型研究的数据库进行系统文献搜索 (开始至2025年5月).
- 使用PROBAST标准进行数据提取和方法质量评估.
- 对逻辑回归模型曲线下的面积 (AUC) 的元分析.
主要成果:
- 十项研究包括55244名败血症患者;SAE发生率在15.0%至62.4%之间.
- 开发了29个模型,主要使用后勤回归或机器学习.
- 逻辑回归模型的综合AUC为0.85 (95% CI 0.77-0.93),异质性很高;所有模型都有高偏差风险.
结论:
- 目前的SAE预测模型具有适度的区分能力,但存在重大方法缺陷.
- 由于质量差和缺乏外部验证,模型尚未准备好用于常规临床应用.
- 未来的研究需要标准化的SAE定义,前性数据,TRIPOD坚持和改进的可解释性.
相关概念视频
01:26Encephalitis ll: Pathophysiology
Encephalitis is inflammation of the brain parenchyma caused by direct viral invasion or immune-mediated mechanisms triggered by infections or tumors. Both processes lead to neuronal injury, disrupted neurotransmission, and diverse neurological symptoms, often with overlapping clinical and pathological features.Autoimmune EncephalitisIn autoimmune encephalitis, antibodies target neuronal antigens on cell surfaces, synapses, or within neurons. A key example is anti-NMDAR encephalitis, which can...
01:29Hepatic Encephalopathy
DefinitionHepatic encephalopathy is a reversible neurologic syndrome that results from advanced liver dysfunction or portosystemic shunting. It leads to disturbances in cognition, behavior, and motor function due to the brain’s exposure to gut-derived toxins that the liver fails to detoxify.EtiologyThis condition develops either in the setting of acute fulminant hepatitis or progressively during chronic liver disease, such as cirrhosis and portal hypertension. Portosystemic shunting—including...