计算机认知训练工具的验证,以评估认知障碍,并使轻度认知障碍和痴呆症之间有区别
Li-Yang Liu1, Yi Xing1, Zi-Heng Zhang2
1Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Journal of Alzheimer's disease : JAD
|September 24, 2023
概括
计算机认知训练 (CCT) 可以可靠地评估认知状态,并检测认知障碍患者的痴呆症. 这个数字工具在区分痴呆症和轻度认知障碍 (MCI) 中显示出高准确度.
科学领域:
- 神经学 神经学
- 老年学是一门学科.
- 数字健康数字健康
背景情况:
- 与年龄相关的认知衰退需要积极的临床管理.
- 计算机化认知训练 (CCT) 提供有针对性的认知练习.
- 对于认知障碍阶段的CCT的诊断效用仍然不清楚.
研究的目的:
- 评估CCT在监测认知状态方面的准确性.
- 确定CCT是否可以区分痴呆症和轻度认知障碍 (MCI).
主要方法:
- 分析了116名患者 (42名痴呆症,74名MCI).
- 从CCT的表现得出一个认知指数.
- 使用了收有效性,内部一致性和ROC分析.
主要成果:
- 认知指数与标准认知测试有很高的相关性 (MoCA r=0.812,MMSE r=0.694).
- 观察到出色的内部一致性 (克朗巴赫α=0.936).
- 认知指数显示出痴呆症的高诊断能力 (AUC=0.943,敏感度=83.3%,特异性=91.9%).
结论:
- CCT是评估认知状态的有效工具.
- 在认知障碍患者中,CCT有效检测痴呆症.
- 通过CCT可可靠地区分痴呆和MCI.
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