Session Information
Date: Wednesday, June 22, 2016
Session Title: Parkinson's disease: Cognition
Session Time: 12:00pm-1:30pm
Location: Exhibit Hall located in Hall B, Level 2
Objective: To provide inside into the nature of cognitive deterioration in Parkinson’s disease dementia (PDD) and to define a score discriminating PDD patients from non-demented Parkinson’s disease (PD) patients with high diagnostic accuracy.
Background: For the early and differential diagnosis of PDD sensitive assessments with a high diagnostic accuracy are mandatory especially in early stages in which patients may benefit best from therapy.
Methods: 180 consecutive PD patients were assessed with a comprehensive cognitive battery. Besides each single cognitive score, the cumulative number of cognitive tests (CUM-T) and domains (CUM-D) below a certain cut-off (either < 1, <1.5 or <2 standard deviation below the population norm) were calculated: The CUM-T and CUM-D scores were thus calculated adding the cumulative number of tests and domains with a score below these cut-off values; CUM-D was further specified regarding the number of tests within each domains affected, i.e. either one (CUM-D1) or two (CUM-D2) tests. The severity of errors (SEV) in each test was classified as mild, moderate and severe. The diagnostic value of each single and combined score for PDD was evaluated.
Results: 164 Patients were included, 39 (23.8%) with PDD. PDD patients had higher CUM-T, CUM-D scores, fewer mild and more severe errors than non-demented PD patients using all three different cut off values (p<0.001). CUM-T, CUM-D1 and CUM-D2 correlated with severe errors (Test score: 0.66≤r≤0.88) and inversely related to mild errors (Test score: -0.47≤r≤-0.65). Using discriminant function analysis the cumulative number of moderate (Wilks lambda=0.69, F=73.07, p<0.001) and severe errors (Wilks lambda=0.50, F=162.02, p<0.001) in addition to age, disease duration and UPDRS-III score resulted in a sensitivity and specificity of 94% for PDD (Odds ratio: 238.1, 48.2-1179.0).
Conclusions: Best prediction of PDD with high diagnostic accuracy can be achieved with a combined score of cognitive and clinical parameters.
To cite this abstract in AMA style:
I. Liepelt-Scarfone, S. Gräber, A. Pilotto, D. Blum, M. Fruhmann Berger, D. Berg. Scores and dimensions to assess cognitive impairment in Parkinson’s disease [abstract]. Mov Disord. 2016; 31 (suppl 2). https://www.mdsabstracts.org/abstract/scores-and-dimensions-to-assess-cognitive-impairment-in-parkinsons-disease/. Accessed June 15, 2025.« Back to 2016 International Congress
MDS Abstracts - https://www.mdsabstracts.org/abstract/scores-and-dimensions-to-assess-cognitive-impairment-in-parkinsons-disease/