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Updated: May 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Addenbrooke's Cognitive Examination Revised is as effective as the original to detect dementia in a
L Bastide1, S De Breucker, M Van den Berge
1Departments of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium.
Introduction:
This paper presents the validation of the French version of the Addenbrooke's Cognitive Examination Revised (ACE-R).
Methods:
The variability of the 3 versions of the ACE-R (A, B and C), performed by the same observer, hence mainly 2 or 3 times on 119 patients showing no progression, was first calculated by Cronbach's alpha coefficient, t test and linear regression. The alpha coefficients of the 3 versions were obtained showing that the ACE-R versions can be considered as one, and an analysis of the interobserver variability was performed by Cohen's kappa coefficient, t test and linear regression on 12 patients. Eventually, we performed a receiver operating characteristic (ROC) analysis to compare the sensitivities and specificities to detect dementia of the ACE, the ACE-R and Mini Mental State Examination on 319 consecutive patients.
Results:
The ROC areas of sensitivities and specificities of the ACE and ACE-R were very similar. Two cutoffs were identified at 83/100 and 89/100 with a specificity to normality of 98.6% if the ACE-R score was ≥83 and a sensitivity to dementia of 98.4% if the ACE-R score was ≤89.
Conclusion:
ACE-R in French is as reliable and valid as the original version to detect dementia.
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