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Updated: Jan 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Validity of the Japanese Version of the Quick Mild Cognitive Impairment Screen
Ayako Morita1, Rónán O'Caoimh2,3, Hiroshi Murayama4
1Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo 113-8510, Japan. morita.hlth@tmd.ac.jp.
Abstract:
Early detection of dementia provides opportunities for interventions that could delay or prevent its progression. We developed the Japanese version of the Quick Mild Cognitive Impairment (Qmci-J) screen, which is a performance-based, easy-to-use, valid and reliable short cognitive screening instrument, and then we examined its validity. Community-dwelling adults aged 65⁻84 in Niigata prefecture, Japan, were concurrently administered the Qmci-J and the Japanese version of the standardized Mini-Mental State Examination (sMMSE-J). Mild cognitive impairment (MCI) and dementia were categorized using established and age-adjusted sMMSE-J cut-offs. The sample (n = 526) included 52 (9.9%) participants with suspected dementia, 123 (23.4%) with suspected MCI and 351 with likely normal cognition. The Qmci-J showed moderate positive correlation with the sMMSE-J (r = 0.49, p < 0.001) and moderate discrimination for predicting suspected cognitive impairment (MCI/dementia) based on sMMSE-J cut-offs, area under curve: 0.74, (95%CI: 0.70⁻0.79), improving to 0.76 (95%CI: 0.72 to 0.81) after adjusting for age. At a cut-off of 60/61/100, the Qmci-J had a 73% sensitivity, 68% specificity, 53% positive predictive value, and 83% negative predictive value for cognitive impairment. Normative data are presented, excluding those with any sMMSE-J < 27. Though further research is required, the Qmci-J screen may be a useful screening tool to identify older adults at risk of cognitive impairment.
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