Cole Neuroscience Center, Memory Disorder Clinic, University of Tennessee Medical Center, Knoxville, TN 37920, USA.
J Alzheimers Dis. 2010;20(1):185-95. doi: 10.3233/JAD-2010-1354.
The computer self test (CST) is an interactive, internet-based instrument designed to assess functional cognitive domains impaired by Alzheimer's disease (AD) and mild cognitive impairment (MCI). This study consisted of 215 total subjects with a mean age of 75.24. The 84 cognitively impaired patients (excluding patients diagnosed as MCI) met all criteria set forth by NINCDS/ADRDA for the diagnosis of AD. Control participants consisted of 104 age-matched individuals who were cognitively unimpaired. All patients completed the CST prior to other routine neurocognitive procedures. The CST accurately classified 96% of the cognitively impaired individuals as compared to controls, while the Mini-Mental Status Examination (MMSE) accurately classified 71% and the Mini-Cog 69% in the same respect. In addition, the CST accurately classified 91% of the six experimental groups (control, MCI, early AD, mild to moderate, moderate to severe, and severe) as compared to 54% for the MMSE and 48% for the Mini-Cog. In conclusions, the CST demonstrates a high degree of sensitivity and specificity and is capable of accurately identifying cognitive impairment in patients with variable degrees of cognitive abnormality. This interactive internet-based cognitive screening tool may aid in early detection of cognitive impairment in the primary care setting. The ease of use and interpretation may also provide the means to obtain an accurate baseline from which to monitor cognitive changes over time.
计算机自检 (CST) 是一种基于互联网的互动式仪器,旨在评估受阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 影响的功能性认知领域。本研究共有 215 名受试者,平均年龄为 75.24 岁。84 名认知障碍患者(不包括被诊断为 MCI 的患者)符合 NINCDS/ADRDA 制定的所有 AD 诊断标准。对照组由 104 名年龄匹配的认知正常个体组成。所有患者在进行其他常规神经认知程序之前都完成了 CST。CST 准确地将 96%的认知障碍个体与对照组区分开来,而 Mini-Mental Status Examination (MMSE) 和 Mini-Cog 在相同方面的准确率分别为 71%和 69%。此外,CST 准确地将 91%的六个实验组(对照组、MCI、早期 AD、轻度至中度、中度至重度和重度)与 MMSE 的 54%和 Mini-Cog 的 48%区分开来。总之,CST 具有高度的敏感性和特异性,能够准确识别不同程度认知异常患者的认知障碍。这种基于互联网的互动式认知筛查工具可能有助于在初级保健环境中早期发现认知障碍。其易于使用和解释也可能为获得准确的基线提供手段,以便监测随时间的认知变化。