PDF(Pubmed)
Abstract：
The predictive abilities of computer-based screening devices for early cognitive decline (CD) in older adults have rarely been longitudinally examined. Therefore, this study examined the ability of CogEvo, a short-duration, computer-based cognitive screening device requiring little professional involvement, to predict CD among community-dwelling older adults. We determined whether 119 individuals aged ≥ 65 years living in Japanese rural communities who scored ≥ 24 on the Mini-Mental State Examination (MMSE) at baseline developed CD by annually administering the MMSE to them. CD was defined as an MMSE score of ≤23. At baseline, the overall CogEvo judgment grade, with lower grades indicating better cognitive function, was calculated from the results of various cognitive tasks. Over 2 years, 10 participants developed CD. Participants with grades of 4 had a higher percentage of CD cases than those with grades of ≤3 (p < 0.01). This relationship remained significant after controlling for possible confounders, including the MMSE score at baseline. The sensitivity and specificity of the CogEvo grade cutoff of 4 were 50.0% and 93.6%, respectively. In conclusion, CogEvo may be an efficient tool for identifying individuals at a high risk for dementia. The possibility of missing CD cases should be considered when using CogEvo for screening.
摘要：
很少纵向检查基于计算机的筛查设备对老年人早期认知能力下降（CD）的预测能力。因此,这项研究检查了CogEvo的能力，一个短暂的持续时间，基于计算机的认知筛选设备需要很少的专业参与，预测社区居住老年人的CD。我们确定了居住在日本农村社区的119名年龄≥65岁的人在基线时在迷你精神状态检查（MMSE）中得分≥24的人是否通过每年对他们进行MMSE来开发CD。CD定义为MMSE评分≤23。在基线,CogEvo的整体判断等级,较低的分数表明认知功能更好，是从各种认知任务的结果计算出来的。超过2年,10名与会者制作了光盘。4级的参与者的CD病例百分比高于≤3级的参与者（p<0.01）。在控制了可能的混杂因素后，这种关系仍然很重要，包括基线时的MMSE评分。CogEvo分级截止值4的敏感性和特异性分别为50.0%和93.6%,分别。总之,CogEvo可能是识别痴呆症高风险个体的有效工具。在使用CogEvo进行筛查时，应考虑缺失CD病例的可能性。
