亚洲人口中耐药性的风险因素和名谱模型 (DRE)
Yangju Chen1, Rong Tang1, Zhihai Shao1
1Department of Neurology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Clinical neurology and neurosurgery
|June 26, 2025
概括
这项研究开发了一种名谱,用于预测亚洲患者的耐药性 (DRE). 该模型准确地识别了早期的风险因素,使得管理的及时干预成为可能.
科学领域:
- 神经学 神经学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 影响全球数百万人,其中20-30%的人患有耐药性 (DRE).
- 早期识别DRE风险因素对于有效的患者管理至关重要.
研究的目的:
- 开发和验证一个用于预测亚洲患者DRE的诺莫格拉姆模型.
- 确定与DRE相关的关键临床和成像风险因素.
主要方法:
- 对452名亚洲患者进行了回顾性队列研究.
- 临床特征分析,VEEG和MRI发现.
- 后勤回归和名录构造,通过ROC曲线和C指数进行验证.
主要成果:
- 122名患者 (27%) 患有DRE.
- 确定的危险因素:发作年龄,MRI异常,发作持续时间,频率和多次发作类型.
- 诺莫格拉姆显示了高的预测准确性 (AUC 0.88培训,0.83验证).
结论:
- 命名图是预测亚洲人群中DRE的一个有价值的工具.
- 该模型促进了DRE.早期干预策略.
- 高度的预测准确性支持其用于及时区分DRE.
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