在帕金森病的纵向认知亚型的预测模型.
Meng-Yun Wang1, Ran Xin2, Jing-Yu Shao3
1Department of Neurology, Henan University People's Hospital, Zhengzhou, 450003, Henan, China.
概括
在帕金森病 (PD) 中预测认知衰退至关重要. 这项研究确定了两个患者亚型,稳定和恶化,并开发了一个模型来预测早期PD的认知衰退.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 临床研究 临床研究
背景情况:
- 帕金森病 (PD) 的纵向认知变化是高度可变的.
- 预测早期PD的认知轨迹对于患者咨询和临床试验至关重要.
研究的目的:
- 在早期帕金森病中识别不同的纵向认知亚型.
- 开发一种用于早期PD患者认知恶化的预测模型.
主要方法:
- 利用了帕金森病进展标记计划 (PPMI) 数据库中的337名早期PD患者的数据,并进行了6年的随访.
- 采用隐性类混合模型 (LCMM) 来识别认知轨迹,并使用基线临床变量构建名录.
- 使用蒙特利尔认知评估 (MoCA) 评估认知功能.
主要成果:
- 确定了两个认知亚型:认知稳定 (81.9%) 和认知恶化 (18.1%).
- 恶化的亚型表现出较差的基线认知,年龄较大,较严重的运动/非运动症状,较高的血清NFL和较低的条纹DAT吸收.
- 使用六个基线变量进行的nomogram预测模型实现了0.92的AUC,证明了高预测准确度.
结论:
- 在6年多的早期PD患者中,确定了两种纵向认知亚型.
- 18%的早期PD患者属于认知恶化亚型.
- 使用六个基线变量验证的预测模型可以估计PD认知恶化的风险.
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