与糖尿病相关的中风风险因素和认知功能障碍的预测
Ning Lin Wei1, Zhou Su2, Hailiang Yan2
1Department of Neurology, The Guangxi Zhuang Autonomous Region Brain Hospital, Guangxi, China. 13597029706m@sina.cn.
Endokrynologia Polska
|December 4, 2025
概括
患有脑梗塞的2型糖尿病 (T2DM) 患者的认知功能障碍受到年龄,25-氧维生素D (25(OH) D) 和甘油三 (TG) 的影响. 一个随机森林模型为这种情况提供了更好的预测.
科学领域:
- 神经学 神经学
- 内分泌学 在内分泌学.
- 代谢障碍 代谢障碍 代谢障碍
背景情况:
- 二次性脑梗塞的2型糖尿病 (T2DM) 经常导致认知功能障碍 (CD).
- 慢性病显著影响患者的生活质量和预后.
- 识别影响CD的因素对于有效管理至关重要.
研究的目的:
- 在2型糖尿病 (T2DM) 和脑梗塞患者中调查与认知功能障碍 (CD) 相关的因素.
- 在这个患者群体中开发和评估CD的预测模型.
主要方法:
- 对244名脑梗塞T2DM患者 (2020年1月 - 2023年12月) 的回顾性分析.
- 使用RStudio.com开发和比较后勤回归和随机森林模型.
- 模型性能使用接收器运行特征曲线 (AUC) 下的面积来评估.
主要成果:
- 年龄,25-氧维生素D (25(OH) D) 和甘油三 (TG) 水平通过逻辑回归被确定为CD的独立预测因素.
- 随机森林模型强调25~OH) D,年龄和TG是最重要的预测因素.
- 与物流模型 (0.799培训,0.793测试) 相比,随机森林模型实现了更高的AUC值 (0.875培训,0.804测试).
结论:
- 年龄,25%OH) D和TG是影响T2DM脑梗塞患者认知功能障碍的重要因素.
- 随机森林模型显示出卓越的预测准确性和临床实用性,用于识别患有CD风险的患者.
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