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Updated: Oct 16, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Changes in the quick mild cognitive impairment test over time: A normative study in an adult sample in Taiwan
Chen-Tse Lee1, Kuang-Cheng Chan1, Fon-Yih Tsuang2
1Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Background:
The Quick Mild Cognitive Impairment (Qmci) test has been suggested to be an easy-to-use and precise screening tool for detecting postoperative cognitive dysfunction (POCD). To provide essential information for future POCD studies in Taiwan, the present study provided data regarding the Taiwan version of the Qmci (Qmci-TW) test conducted in the normative Taiwanese population and changes in them over time.
Methods:
The present study recruited adult native Taiwanese volunteers without known neurologic or psychiatric diseases. All enrolled participants received protocolized serial Qmci-TW test at baseline, 2-day follow-up, and 6-month follow-up.
Results:
In total, 30 participants, 15 men and 15 women, were enrolled in this study. The baseline Qmci-TW score ranged from 55 to 80, with a mean of 68.9 and a standard deviation (SD) of 7. At 2-day follow-up, the mean Qmci-TW test score was significantly higher (by 5.3; SD = 7.3) than that at baseline (P = 0.001). At 6-month follow-up, the mean Qmci-TW score was 71.3 (SD = 6.1), with no significant difference compared with that at baseline. The decline in Qmci-TW scores by > 9 points on postoperative day 1 and by > 11 points at 6-month follow-up was the criterion for POCD.
Conclusion:
The present study provided data regarding the Qmci-TW test conducted in the normative Taiwanese population and its time trajectory during the 6-month follow-up.
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