1. A Longitudinal Study of CogEvo's Prediction of Cognitive Decline in Older Adults.
- Author
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Ichii, Sadanobu, Oba, Hikaru, Sugimura, Yoshikuni, Yang, Yichi, Shoji, Mikio, and Ihara, Kazushige
- Subjects
MEDICAL screening equipment ,COGNITIVE testing ,INDEPENDENT living ,OCCUPATIONAL roles ,MILD cognitive impairment ,RECEIVER operating characteristic curves ,T-test (Statistics) ,COGNITION disorders in old age ,LOGISTIC regression analysis ,INTERVIEWING ,DESCRIPTIVE statistics ,CHI-squared test ,MANN Whitney U Test ,LONGITUDINAL method ,ODDS ratio ,SURVEYS ,NEUROPSYCHOLOGICAL tests ,PSYCHOLOGICAL tests ,DEMENTIA ,COMPARATIVE studies ,CONFIDENCE intervals ,PREDICTIVE validity ,COGNITIVE aging ,SENSITIVITY & specificity (Statistics) ,EVALUATION - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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