在中风患者中急性损伤的预测模型:系统性审查
Baihui Zhong1, Yifan Du1, Xinyi Wang1
1Department of Nursing, Changchun University of Chinese Medicine, Changchun, Jilin Province, China.
Brain and behavior
|January 7, 2026
概括
为中风患者开发急性损伤 (AKI) 预测模型至关重要. 目前的模型显示可变性能和高偏差,需要进一步研究可靠的工具.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 神经学 神经学
- 医疗信息学 医疗信息学
背景情况:
- 急性损伤 (AKI) 是中风患者的一个重大问题.
- 需要有效的预测模型来早期识别有风险的个体.
研究的目的:
- 系统地审查和综合现有关于中风患者AKI预测模型的研究.
- 评估当前AKI中风预测模型的特性,性能和局限性.
主要方法:
- 在多个数据库 (PubMed,Embase,Web of Science等) 进行全面的文献搜索. 在2025年4月之前.
- 提取关于模型开发,预测因素,性能指标 (AUC) 和验证的数据.
- 35种不同的AKI预测模型的系统识别和合成.
主要成果:
- 对中风患者确定了35个AKI预测模型,曲线下的面积 (AUC) 值范围广泛 (0.428-1.000).
- 常见的预测因素包括高血压,血清肌,年龄,利尿剂使用,机械通风和NIHSS分数.
- 只有七项研究报告了外部验证,这表明 robust 模型评估存在差距.
结论:
- 目前针对中风患者的AKI预测模型需要进一步开发.
- 模型表现出有希望但可变的预测能力,通常具有高偏差风险.
- 标准化开发和验证对于创建可靠和适用的AKI预测工具至关重要.
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