The Affiliated Wuxi Mental Health Center of Nanjing Medical University, Wuxi, China.
School of humanities and management, Graduate School of Wannan Medical College, Wuhu, China.
Int J Geriatr Psychiatry. 2019 Nov;34(11):1658-1666. doi: 10.1002/gps.5179. Epub 2019 Aug 1.
Our study aimed to verify the validity of the Chinese version of Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) for the community-dwelling older people in China.
A total of 1276 individuals composed by 628 normal controls (NCs), 572 people living with mild cognitive impairment (MCI), and 76 people living with Alzheimer's disease (AD) were recruited for the current study. All of the participants underwent ADAS-Cog, clinical interview and examination, Quick Cognitive Screening Scale for the Elderly, and Activities of Daily Living Scale. The sensitivity and specificity of ADAS-Cog were calculated, and a receiver operating characteristic curve (ROC curve) was drawn to decide the optimal cutoff points of ADAS-Cog for screening MCI and AD.
Statistically significant differences were observed among the three groups (P <. 001, NC < MCI <AD), in terms of the total and subtask scores of ADAS-Cog. The optimal cutoff value for MCI was 10 points with an area under the curve (AUC) of 0.824, sensitivity of 61.4%, and specificity of 93.2%. Comparatively, the best cutoff value for AD was 15 points with an AUC of 0.905, sensitivity of 73.7%, and specificity of 92.4%. The overall accuracy was 70.5%, and the accuracy of diagnosing cognitively healthy older people, MCI patients, and AD patients was 81.7%, 58.0%, and 71.1%, respectively.
The present study illustrates that the Chinese version of the ADAS-Cog total score is able to detect cognitive impairment of AD patients in Chinese communities but has a lower efficacy for MCI.
本研究旨在验证中文版阿尔茨海默病评估量表-认知分量表(ADAS-Cog)在中国社区居住的老年人中的有效性。
本研究共纳入 1276 名个体,其中包括 628 名正常对照组(NC)、572 名轻度认知障碍(MCI)患者和 76 名阿尔茨海默病(AD)患者。所有参与者均接受 ADAS-Cog、临床访谈和检查、老年人快速认知筛查量表和日常生活活动量表评估。计算 ADAS-Cog 的灵敏度和特异性,并绘制受试者工作特征曲线(ROC 曲线)以确定 ADAS-Cog 用于筛查 MCI 和 AD 的最佳截断值。
ADAS-Cog 的总分和子任务评分在三组之间存在统计学显著差异(P <.001,NC < MCI < AD)。对于 MCI,最佳截断值为 10 分,曲线下面积(AUC)为 0.824,灵敏度为 61.4%,特异性为 93.2%。相比之下,AD 的最佳截断值为 15 分,AUC 为 0.905,灵敏度为 73.7%,特异性为 92.4%。总体准确率为 70.5%,诊断认知健康老年人、MCI 患者和 AD 患者的准确率分别为 81.7%、58.0%和 71.1%。
本研究表明,中文版 ADAS-Cog 总分能够检测中国社区 AD 患者的认知障碍,但对 MCI 的效果较低。