scholarly journals Comparative sensitivity of the MoCA and Mattis Dementia Rating Scale‐2 in Parkinson's disease

2018 ◽  
Vol 34 (2) ◽  
pp. 285-291 ◽  
Author(s):  
Taylor R. Hendershott ◽  
Delphine Zhu ◽  
Seoni Llanes ◽  
Cyrus P. Zabetian ◽  
Joseph Quinn ◽  
...  
2014 ◽  
Vol 20 (6) ◽  
pp. 627-631 ◽  
Author(s):  
Eva Pirogovsky ◽  
Dawn M. Schiehser ◽  
Irene Litvan ◽  
Kristalyn M. Obtera ◽  
Mathes M. Burke ◽  
...  

2008 ◽  
Vol 23 (11) ◽  
pp. 1546-1550 ◽  
Author(s):  
Gisela Llebaria ◽  
Javier Pagonabarraga ◽  
Jaime Kulisevsky ◽  
Carmen García-Sánchez ◽  
Berta Pascual-Sedano ◽  
...  

2015 ◽  
Vol 39 (5-6) ◽  
pp. 303-311 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Jiri Michalec ◽  
Tomas Nikolai ◽  
Petra Havránková ◽  
Jan Roth ◽  
...  

Background/Aims: The aim of the present study was to provide normative data and determine the validity of the Czech version of the Mattis Dementia Rating Scale 2 (czDRS-2) in screening for mild cognitive impairment in Parkinson's disease (PD-MCI) based on the Movement Disorder Society (MDS) Level II criteria. Methods: For validation purposes, 41 healthy controls (HC), 46 patients with PD-NI (Parkinson's disease, no impairment) and 41 patients with PD-MCI (all groups assessed by the MDS Level II criteria for PD-MCI) were matched according to age and education. Results: With screening and diagnostic cutoff scores determined at ≤139 points, the czDRS-2 showed a sensitivity of 78% and a specificity of 88% in the detection of PD-MCI versus HC and a sensitivity of 78% and a specificity of 76% in the detection of PD-MCI versus PD-NI. The AUC (95% confidence interval) for the czDRS-2 was 84% (75-93) and 82% (73-91), respectively. We report percentile values for 286 subjects from the Czech population stratified by education level. Conclusion: Our results show that the czDRS-2 is a valid instrument at Level I for screening PD-MCI and support its construct validity and diagnostic equivalence in a cross-cultural setting.


2006 ◽  
Vol 253 (9) ◽  
pp. 1154-1159 ◽  
Author(s):  
Kathy Dujardin ◽  
David Devos ◽  
Stéphane Duhem ◽  
Alain Destée ◽  
Rose-Marie Marié ◽  
...  

1999 ◽  
Vol 12 (4) ◽  
pp. 180-188 ◽  
Author(s):  
Gregory G. Brown ◽  
Alice Armstrong Rahill ◽  
Jay M. Gorell ◽  
Cathleen McDonald ◽  
Sandra J. Brown ◽  
...  

2020 ◽  
Vol 35 (7) ◽  
pp. 1069-1077
Author(s):  
Adela Fendrych Mazancova ◽  
Evžen Růžička ◽  
Robert Jech ◽  
Ondrej Bezdicek

Abstract Objective A progressive cognitive impairment is one of the frequent non-motor symptoms during Parkinson’s disease (PD) course. A short and valid screening tool is needed to detect an incipient cognitive deficit at the mild cognitive impairment stage in Parkinson’s disease (PD–MCI). Method The present study aims to evaluate the classification accuracies of four cognitive screenings: Montreal Cognitive Assessment (MoCA), Mattis Dementia Rating Scale second edition (DRS–2), Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB) in a cohort of PD patients (PD–MCI, n = 46; and Parkinson’s disease with normal cognition, PD-NC, n = 95) and Controls (n = 66). All subjects underwent a standard neuropsychological battery as recommended by the International Parkinson and Movement Disorder Society and underwent all four screening tools. Results In the detection of PD-MCI versus PD-NC, the MoCA showed a sensitivity of 84% and a specificity of 66% with a screening cutoff score at ≤25 points. The MoCA’s AUC was 86% (95% CI 78.7–93.1). In the detection of PD-MCI versus Controls, the FAB displayed 84% sensitivity and 79% specificity with a cutoff ≤16 points, to screen. The FAB’s AUC was 87% (79.0–95.0). Conclusions Our results show that the MoCA is the most discriminative tool for screening MCI in the PD population.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Tivadar Lucza ◽  
Kázmér Karádi ◽  
János Kállai ◽  
Rita Weintraut ◽  
József Janszky ◽  
...  

Introduction. Among the nonmotor features of Parkinson’s disease (PD), cognitive impairment is one of the most troublesome problems. New diagnostic criteria for mild and major neurocognitive disorder (NCD) in PD were established by Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5). The aim of our study was to establish the diagnostic accuracy of widely used screening tests for NCD in PD.Methods. Within the scope of our study we evaluated the sensitivity and specificity of different neuropsychological tests (Addenbrooke’s Cognitive Examination (ACE), Mattis Dementia Rating Scale (MDRS), Mini Mental State Examination (MMSE), and Montreal Cognitive Assessment (MoCA)) in 370 PD patients without depression.Results. MoCA and ACE feature the finest diagnostic accuracy for detecting mild cognitive disorder in PD (DSM-5) at the cut-off scores of 23.5 and 83.5 points, respectively. The diagnostic accuracy of these tests was 0.859 (95% CI: 0.818–0.894, MoCA) and 0.820 (95% CI: 0.774–0.859, ACE). In the detection of major NCD (DSM-5), MoCA and MDRS tests exhibited the best diagnostic accuracy at the cut-off scores of 20.5 and 132.5 points, respectively. The diagnostic accuracy of these tests was 0.863 (95% CI: 0.823–0.897, MoCA) and 0.830 (95% CI: 0.785–0.869, MDRS).Conclusion. Our study demonstrated that the MoCA may be the most suitable test for detecting mild and major NCD in PD.


Sign in / Sign up

Export Citation Format

Share Document