Clinical Applicability and Cutoff Values for an Unstructured Neuropsychological Assessment Protocol for Older Adults with Low Formal Education
Figure 2
Stepwise multinomial regression models for the classification of the participants.
Legend: increase on the classification rate of the participants by the use of different neuropsychological tests. The final model contains tests of general cognitive function (Mini-Mental State Examination), Episodic Memory (Delayed Recall and Recognition from the Rey Auditory-Verbal Learning Test), Executive Functions (Category Fluency Test “Animals” and the Frontal Assessment Battery) and Language/Semantic Memory (Laboratory of Neuropsychological Investigations Naming Test “Nouns”). Considering its general accuracy the protocol improves the classification rate of the participant's in 47%, starting at chance (33%). Its accuracy is greater for the identification of normal Aging (54%) followed by AD (47%) and MCI (42%), which reflect the intermediate condition of this last group.