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Parkinson’s Disease
Volume 2015 (2015), Article ID 579417, 7 pages
Research Article

Addenbrooke’s Cognitive Examination and Individual Domain Cut-Off Scores for Discriminating between Different Cognitive Subtypes of Parkinson’s Disease

1Applied Neuroscience Research Group, CEITEC MU, Masaryk University, 625 00 Brno, Czech Republic
2Department of Neurology, University Hospital in Ostrava, 708 52 Ostrava, Czech Republic
3Department of Rehabilitation, Faculty of Medicine, University of Ostrava, 708 52 Ostrava, Czech Republic
4Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic
5Department of Neurology, School of Medicine, Masaryk University and St. Anne’s Hospital, 656 91 Brno, Czech Republic
6Second Department of Neurology, School of Medicine, Masaryk University and Brno Teaching Hospital, 625 00 Brno, Czech Republic

Received 14 June 2015; Accepted 3 August 2015

Academic Editor: Hélio Teive

Copyright © 2015 Dagmar Berankova et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. The main aim of this study was to verify the sensitivity and specificity of Addenbrooke’s Cognitive Examination-Revised (ACE-R) in discriminating between Parkinson’s disease (PD) with normal cognition (PD-NC) and PD with mild cognitive impairment (PD-MCI) and between PD-MCI and PD with dementia (PD-D). We also evaluated how ACE-R correlates with neuropsychological cognitive tests in PD. Methods. We examined three age-matched groups of PD patients diagnosed according to the Movement Disorder Society Task Force criteria: PD-NC, PD-MCI, and PD-D. ROC analysis was used to establish specific cut-off scores of ACE-R and its domains. Correlation analyses were performed between ACE-R and its subtests with relevant neuropsychological tests. Results. Statistically significant differences between groups were demonstrated in global ACE-R scores and subscores, except in the language domain. ACE-R cut-off score of 88.5 points discriminated best between PD-MCI and PD-NC (sensitivity 0.68, specificity 0.91); ACE-R of 82.5 points distinguished best between PD-MCI and PD-D (sensitivity 0.70, specificity 0.73). The verbal fluency domain of ACE-R demonstrated the best discrimination between PD-NC and PD-MCI (cut-off score 11.5; sensitivity 0.70, specificity 0.73) while the orientation/attention subscore was best between PD-MCI and PD-D (cut-off score 15.5; sensitivity 0.90, specificity 0.97). ACE-R scores except for ACE-R language correlated with specific cognitive tests of interest.