Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Beijing Wisdom Spirit Technology Co., Ltd., Beijing, China.
J Alzheimers Dis. 2023;96(1):93-101. doi: 10.3233/JAD-230416.
Age-related cognitive decline is a chronic, progressive process that requires active clinical management as cognitive status changes. Computerized cognitive training (CCT) provides cognitive exercises targeting specific cognitive domains delivered by computer or tablet. Meanwhile, CCT can be used to regularly monitor the cognitive status of patients, but it is not clear whether CCT can reliably assess cognitive ability or be used to diagnose different stages of cognitive impairment.
To investigate whether CCT can accurately monitor the cognitive status of patients with cognitive impairment as well as distinguish patients with dementia from patients with mild cognitive impairment (MCI).
We included 116 patients (42 dementia and 74 MCI) in final analysis. Cognitive ability was assessed by averaging the patient performance on the CCT to determine the Cognitive Index. The validity of the Cognitive Index was evaluated by its correlation with neuropsychological tests, and internal consistency was measured to assess the reliability. Additionally, we determined the diagnostic ability of the Cognitive Index to detect dementia using receiver operating characteristic (ROC) analysis.
The Cognitive Index was highly correlated with the Montreal Cognitive Assessment (r = 0.812) and the Mini-Mental State Examination (r = 0.694), indicating good convergent validity, and the Cronbach's alpha coefficient was 0.936, indicating excellent internal consistency. The area under the ROC curve, sensitivity, and specificity of the Cognitive Index to diagnose dementia were 0.943, 83.3%, and 91.9%, respectively.
CCT can be used to assess cognitive status and detect dementia in patients with cognitive impairment.
与年龄相关的认知能力下降是一个慢性、进行性的过程，需要积极的临床管理，因为认知状态会发生变化。计算机认知训练（CCT）通过计算机或平板电脑提供针对特定认知领域的认知练习。同时，CCT 可用于定期监测患者的认知状态，但尚不清楚 CCT 是否能可靠地评估认知能力，或用于诊断认知障碍的不同阶段。
探讨计算机认知训练是否能准确监测认知障碍患者的认知状态，以及区分痴呆患者与轻度认知障碍（MCI）患者。
我们最终分析了 116 名患者（42 名痴呆，74 名 MCI）。认知能力通过平均患者在计算机认知训练中的表现来评估，以确定认知指数。通过与神经心理学测试的相关性评估认知指数的有效性，并通过内部一致性测量评估可靠性。此外，我们通过接受者操作特征（ROC）分析确定认知指数检测痴呆的诊断能力。
认知指数与蒙特利尔认知评估（r=0.812）和简易精神状态检查（r=0.694）高度相关，表明具有良好的收敛效度，Cronbach's alpha 系数为 0.936，表明具有极好的内部一致性。认知指数诊断痴呆的 ROC 曲线下面积、敏感度和特异度分别为 0.943、83.3%和 91.9%。
计算机认知训练可用于评估认知障碍患者的认知状态和检测痴呆。
