scholarly journals Psychometric Properties of the Clinical Dementia Rating Scale Sum of Boxes in Parkinson’s Disease

2020 ◽  
pp. 1-9
Author(s):  
Julia Gallagher ◽  
Jacqueline Rick ◽  
Sharon X. Xie ◽  
Pablo Martinez-Martin ◽  
Eugenia Mamikonyan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Rating Scale ◽  
Clinical Dementia Rating ◽  
Functional Changes ◽  
Dementia Rating Scale ◽  
Normal Cognition ◽  
Domain Scores

Background: A composite measure that assesses both cognitive and functional abilities in Parkinson’s disease (PD) would be useful for diagnosing mild cognitive impairment (MCI) and PD dementia (PDD) and as an outcome measure in randomized controlled trials. The Clinical Dementia Rating Scale Sum of Boxes (CDR-SOB) was designed to assess both cognition and basic-instrumental activities of daily living in Alzheimer’s disease but has not yet been validated in PD. Objective: To validate the CDR-SOB as a composite cognitive-functional measure for PD patients, as well as to assess its sensitivity to change. Methods: The CDR-SOB and a comprehensive cognitive and functional battery was administered to 101 PD patients at baseline (39 normal cognition [NC], 41 MCI and 21 PDD by expert consensus panel), and re-administered to 64 patients after 1-2 years follow-up (32 NC and 32 cognitive impairment [CI] at baseline). Results: Cross-sectionally, CDR-SOB and domain scores were correlated with corresponding neuropsychological or functional measures and were significantly different between cognitive subgroups both at baseline and at follow-up. In addition, CDR-SOB ROC curves distinguished between normal cognition and dementia with high sensitivity, but did not distinguish well between NC and MCI. Longitudinal changes in the CDR-SOB and domain scores were not significant and were inconsistent in predicting change in commonly-used cognitive and functional tests. Conclusion: The CDR-SOB detects dementia-level cognitive impairment in PD but may not be appropriate for predicting longitudinal combined cognitive-functional changes in patients without significant cognitive impairment at baseline.

Parkinson's disease mild cognitive impairment classifications and neurobehavioral symptoms

2017 ◽  
Vol 30 (2) ◽  
pp. 253-260 ◽  
Author(s):  
Kirstie L. McDermott ◽  
Nancy Fisher ◽  
Sandra Bradford ◽  
Richard Camicioli
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Rating Scale ◽  
Neuropsychiatric Symptoms ◽  
Normative Values ◽  
Clinical Dementia Rating ◽  
Dementia Rating Scale ◽  
Over Time

ABSTRACTBackground:We apply recently recommended Parkinson's disease mild cognitive impairment (PD-MCI) classification criteria from the movement disorders society (MDS) to PD patients and controls and compare diagnoses to that of short global cognitive scales at baseline and over time. We also examine baseline prevalence of neuropsychiatric symptoms across different definitions of MCI.Methods:51 PD patients and 50 controls were classified as cognitively normal, MCI, or demented using MDS criteria (1.5 or 2.0 SD below normative values), Clinical Dementia Rating Scale (CDR), and the Dementia Rating Scale (DRS). All subject had parallel assessment with the Neuropsychiatric inventory (NPI).Results:We confirmed that PD-MCI (a) is frequent, (b) increases the risk of PDD, and (c) affects multiple cognitive domains. We highlight the predictive variability of different criteria, suggesting the need for further refinement and standardization. When a common dementia outcome was used, the Level II MDS optimal testing battery with impairment defined as two SD below norms in 2+ tests performs the best. Neuropsychiatric symptoms were more common in PD across all baseline and longitudinal cognitive classifications.Conclusions:Our results advance previous findings on the utility of MDS PD-MCI criteria for PD patients and controls at baseline and over time. Additionally, we emphasize the possible utility of other cognitive scales and neuropsychiatric symptoms.

Constipation Predicts Cognitive Decline in Parkinson’s Disease: Results from the COPPADIS Cohort at 2-Year Follow-up and Comparison with a Control Group

2021 ◽  
pp. 1-17
Author(s):  
Diego Santos García ◽  
Lucía García Roca ◽  
Teresa de Deus Fonticoba ◽  
Carlos Cores Bartolomé ◽  
Lucía Naya Ríos ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Rating Scale ◽  
Cognitive Status ◽  
Control Group ◽  
Cognitive Changes ◽  
Non Motor Symptoms

Background: Constipation has been linked to cognitive impairment development in Parkinson’s disease (PD). Objective: Our aim was to analyze cognitive changes observed in PD patients and controls from a Spanish cohort with regards to the presence or not of constipation. Methods: PD patients and controls recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017 were followed-up during 2 years. The change in cognitive status from baseline (V0) to 2-year follow-up was assessed with the PD-CRS (Parkinson’s Disease Cognitive Rating Scale). Subjects with a score ≥1 on item 21 of the NMSS (Non-Motor Symptoms Scale) at baseline (V0) were considered as “with constipation”. Regression analyses were applied for determining the contribution of constipation in cognitive changes. Results: At V0, 39.7% (198/499) of PD patients presented constipation compared to 11.4% of controls (14/123) (p < 0.0001). No change was observed in cognitive status (PD-CRS total score) neither in controls without constipation (from 100.24±13.72 to 100.27±13.68; p = 0.971) and with constipation (from 94.71±10.96 to 93.93±13.03; p = 0.615). The PD-CRS total score decreased significantly in PD patients with constipation (from 89.14±15.36 to 85.97±18.09; p < 0.0001; Coehn’s effect = –0.35) compared to patients without constipation (from 93.92±15.58 to 93.14±17.52; p = 0.250) (p = 0.018). In PD patients, to suffer from constipation at V0 was associated with a decrease in the PD-CRS total score from V0 to V2 (β= –0.1; 95% CI, –4.36 – –0.27; p = 0.026) and having cognitive impairment at V2 (OR = 1.79; 95% CI, 1.01 – 3.17; p = 0.045). Conclusion: Constipation is associated with cognitive decline in PD patients but not in controls.

The utility of the Mattis Dementia Rating Scale in Parkinson's disease mild cognitive impairment

2014 ◽  
Vol 20 (6) ◽  
pp. 627-631 ◽  
Author(s):  
Eva Pirogovsky ◽  
Dawn M. Schiehser ◽  
Irene Litvan ◽  
Kristalyn M. Obtera ◽  
Mathes M. Burke ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Rating Scale ◽  
Mattis Dementia Rating Scale ◽  
Dementia Rating Scale

Clinical Validity of the Mattis Dementia Rating Scale in Differentiating Mild Cognitive Impairment in Parkinson's Disease and Normative Data

2015 ◽  
Vol 39 (5-6) ◽  
pp. 303-311 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Jiri Michalec ◽  
Tomas Nikolai ◽  
Petra Havránková ◽  
Jan Roth ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Normative Data ◽  
Rating Scale ◽  
Mattis Dementia Rating Scale ◽  
Level Ii ◽  
Dementia Rating Scale ◽  
Level I

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.

scholarly journals Can the CERAD neuropsychological battery be used to assess cognitive impairment in Parkinson's disease?

2018 ◽  
Vol 76 (3) ◽  
pp. 145-149
Author(s):  
Carlos Henrique Ferreira Camargo ◽  
Augusto Bronzini ◽  
Eduardo de Souza Tolentino ◽  
Camila Medyk ◽  
Gustavo Leopold Schultz-Pereira
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Deficits ◽  
Rating Scale ◽  
Word List ◽  
Neuropsychological Battery ◽  
Clinical Dementia Rating

ABSTRACT The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was created to assess cognitive impairment in Alzheimer's disease (AD) but it is widely-used for various dementias. The aim of this study was to analyze the efficacy of using the CERAD battery in the assessment of patients with Parkinson's disease. Forty-nine patients with Parkinson's disease were divided into two groups (one with dementia and one without) using the Movement Disorder Society criteria for Parkinson's disease dementia. Cognitive deficits were assessed with the Clinical Dementia Rating Scale as the gold standard, and the CERAD. The ROC curve for the CERAD battery had an area under the curve = 0.989 (95% CI = 0.967 – 1, p<0.0001). Among the CERAD subtests, verbal fluency had the worst accuracy, and word list learning had the best accuracy. Despite the limits of this study, the CERAD battery can be efficient for assessment of cognitive deficits in Parkinson's disease patients.

scholarly journals Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease

2016 ◽  
Vol 10 (4) ◽  
pp. 315-319 ◽  
Author(s):  
Carolina Pinto Souza ◽  
Guiomar Nascimento Oliveira ◽  
Maria Paula Foss ◽  
Vitor Tumas
Keyword(s):  
Parkinson’S Disease ◽  
Cluster Analysis ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Rating Scale ◽  
Digit Span ◽  
Depression Scale ◽  
Cognitive Profiles ◽  
Clinical Dementia Rating ◽  
Increased Risk

ABSTRACT Background: Cognitive impairment is a common feature of Parkinson's disease (PD). The diagnoses of mild cognitive impairment (MCI) in patients with PD implies an increased risk for later development of dementia, however, it is unclear whether a specific type of cognitive loss confers increased risk for faster cognitive decline. Objective: Determine whether it was possible to identify distinct cognitive phenotypes in a sample of patients with PD. Methods: A cross-sectional evaluation of 100 patients with PD recruited from a movement disorders clinic was conducted. The patients were evaluated using the simplified motor score of the UPDRS, the Hoehn and Yahr, Schwab and England, Geriatric Depression Scale, Pfeffer Functional Activities Questionnaire, Clinical Dementia Rating Scale, Mini-Mental State Examination, clock drawing test, digit span, word list battery of CERAD, Frontal Assessment Battery and verbal fluency test. We classified the patients as having normal cognition (PDNC), MCI (PDMCI) or dementia (PDD). Data were analyzed using the chi-square test, non-parametric statistics and cluster analysis. Results: There were 40 patients with PDD, 39 with PDMCI and 21 with PDNC. Patients with PDD were older, had longer disease duration, lower education and lower MMSE scores. Cluster analysis showed 3 general distinct cognitive profiles that represented a continuum from mild to severe impairment of cognition, without distinguishing specific cognitive profiles. Conclusion: Cognitive impairment in PD occurs progressively and heterogeneously in most patients. It is unclear whether the definition of the initial phenotype of cognitive loss can be used to establish the cognitive prognosis of patients.

scholarly journals The corticolimbic structural covariance network as an early predictive biosignature for cognitive impairment in Parkinson's disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yueh-Sheng Chen ◽  
Hsiu-Ling Chen ◽  
Cheng-Hsien Lu ◽  
Chih-Ying Lee ◽  
Kun-Hsien Chou ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Neuropsychological Testing ◽  
Whole Body ◽  
Adult Intelligence Scale ◽  
Structural Covariance ◽  
Normal Cognition

AbstractStructural covariance assesses similarities in gray matter between brain regions and can be applied to study networks of the brain. In this study, we explored correlations between structural covariance networks (SCNs) and cognitive impairment in Parkinson’s disease patients. 101 PD patients and 58 age- and sex-matched healthy controls were enrolled in the study. For each participant, comprehensive neuropsychological testing using the Wechsler Adult Intelligence Scale-III and Cognitive Ability Screening Instrument were conducted. Structural brain MR images were acquired using a 3.0T whole body GE Signa MRI system. T1 structural images were preprocessed and analyzed using Statistical Parametric Mapping software (SPM12) running on Matlab R2016a for voxel-based morphometric analysis and SCN analysis. PD patients with normal cognition received follow-up neuropsychological testing at 1-year interval. Cognitive impairment in PD is associated with degeneration of the amygdala/hippocampus SCN. PD patients with dementia exhibited increased covariance over the prefrontal cortex compared to PD patients with normal cognition (PDN). PDN patients who had developed cognitive impairment at follow-up exhibited decreased gray matter volume of the amygdala/hippocampus SCN in the initial MRI. Our results support a neural network-based mechanism for cognitive impairment in PD patients. SCN analysis may reveal vulnerable networks that can be used to early predict cognitive decline in PD patients.

scholarly journals Retrospective Assessment of Movement Disorder Society Criteria for Mild Cognitive Impairment in Parkinson’s Disease

2015 ◽  
Vol 21 (2) ◽  
pp. 137-145 ◽  
Author(s):  
Andrea M. Loftus ◽  
Romola S. Bucks ◽  
Meghan Thomas ◽  
Robert Kane ◽  
Caitlin Timms ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Rating Scale ◽  
Neuropsychological Testing ◽  
Simulation Method ◽  
Movement Disorder Society

AbstractA Movement Disorder Society (MDS) taskforce recently proposed diagnostic criteria for Parkinson’s disease with features of mild cognitive impairment (PD-MCI). This study first examined the prevalence and nature of PD-MCI in a non-demented cohort using the MDS criteria. Using the generic Monte Carlo simulation method developed by Crawford and colleagues (2007), this study then estimated the base rate of the representative population who would demonstrate PD-MCI due to chance alone. A total of 104 participants with idiopathic PD underwent extensive motor and neuropsychological testing at baseline and 2 years later. The Unified Parkinson’s Disease Rating Scale (UPDRS) was used to assess motor symptoms of PD and a range of established neuropsychological tests was used to assess PD-MCI in accord with MDS criteria. In accord with MDS criteria, 38% of this cohort demonstrated PD-MCI at baseline and 48% at follow-up. Of the 36 participants in the multiple-domain PD-MCI subtype at time-1, 9 (25%) demonstrated no PD-MCI at follow up. Analysis revealed that approximately 13% of the representative population would demonstrate abnormally low scores for 2 of the 9 tests used, thereby meeting MDS criteria for PD-MCI. Clinicians and researchers need to approach a single diagnosis (i.e., based on one assessment) of PD-MCI with considerable caution. (JINS, 2015, 21, 137–145)

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