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Updated: Jul 19, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Six-item cognitive impairment test (6-CIT)'s accuracy as a cognitive screening tool: best cut-off levels in emergency
Francesco Salis1, Daniela Pili2, Manuel Collu1
1Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Background:
Nowadays, elderly patients represent a significant number of accesses to the Emergency Department (ED). Working rhythms do not allow to perform complete cognitive analysis, which would, however, be useful for the health care. This study aims to define the optimal cut-off values of the six-item Cognitive Impairment Test (6-CIT) as a cognitive screening tool in ED.
Methods:
This study included 215 subjects, evaluated at the Emergency Department of the University Hospital of Monserrato, Cagliari, Italy, from July to December 2021. The accuracy of 6-CIT as a cognitive screening tool was assessed by comparison with Mini Mental State Examination (MMSE).
Results:
The correlation coefficient between the two tests was -0.836 (CI: -0.87 to -0.79; p < 0.0001), and 6-CIT showed AUC = 0.947 (CI: 0.908-0.973; p < 0.0001). The 8/9 6-CIT cut-off score presented 86.76% sensitivity (CI: 76.4-93.8) and 91.84% specificity (CI: 86.2-95.7), and Youden index for this score was 0.786.
Conclusion:
Our study demonstrates that 6-CIT is a reliable cognitive screening tool in ED, offering excellent sensitivity and specificity with a 8/9 points cut-off score.
