## Abstract There is a clear need for brief, but sensitive and specific, cognitive screening instruments as evidenced by the popularity of the Addenbrooke's Cognitive Examination (ACE). ## Objectives We aimed to validate an improved revision (the ACE‐R) which incorporates five sub‐domain scores (
Differentiation of semantic dementia and Alzheimer's disease using the Addenbrooke's Cognitive Examination (ACE)
✍ Scribed by R. Rhys Davies; Kate Dawson; Eneida Mioshi; Sharon Erzinçlioğlu; John R. Hodges
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 74 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0885-6230
- DOI
- 10.1002/gps.1887
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Background
The Addenbrooke's Cognitive Examination (ACE) is a simple diagnostic tool bridging the gap between the very brief Mini Mental State Exam (MMSE) and much longer test batteries used by neuropsychologists which has proven extremely popular internationally.
Objective
We aimed to assess the ability of the ACE to differentiate semantic dementia (SD) from Alzheimer's disease (AD).
Methods
The ACE was administered to three groups: SD patients (n = 40) and two separate groups of AD patients (n = 40 in each), matched for overall ACE or MMSE score.
Results
Significant differences were found between SD and both AD groups for the ACE sub‐scores of naming, reading and orientation in time. Discriminant analysis (SD versus AD) led to the formulation of a ‘semantic index’ (naming plus reading minus scores for serial‐7s, orientation in time and drawing). Application of the semantic index to the patient data found values of less than zero to be predictive of SD rather than AD with 88% sensitivity and 90% specificity. Validation analysis in an independent sample of 24 SD and AD patients proved even more favourable.
Conclusions
The overall ACE score is known to be a sensitive, and specific, indicator of early neurodegenerative dementia; this study shows that the ACE can also be used to detect SD through application of the semantic index. Copyright © 2007 John Wiley & Sons, Ltd.
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