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Association Between Change in Body Mass Index, Unified Parkinson's Disease Rating Scale Scores, and Survival Among Persons With Parkinson Disease: Secondary Analysis of Longitudinal Data From NINDS Exploratory Trials in Parkinson Disease Long-term Study 1.

ABSTRACT: Greater body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) is associated with improved survival among persons with Huntington disease or amyotrophic lateral sclerosis. Weight loss is common among persons with Parkinson disease (PD) and is associated with worse quality of life.To explore the association between change in BMI, Unified Parkinson's Disease Rating Scale (UPDRS) motor and total scores, and survival among persons with PD and to test whether there is a positive association between BMI at randomization and survival.Secondary analysis (from May 27, 2014, to October 13, 2015) of longitudinal data (3-6 years) from 1673 participants who started the National Institute of Neurological Disorders and Stroke Exploratory Trials in PD Long-term Study-1 (NET-PD LS-1). This was a double-blind randomized placebo-controlled clinical trial of creatine monohydrate (10 g/d) that was performed at 45 sites throughout the United States and Canada. Participants with early (within 5 years of diagnosis) and treated (receiving dopaminergic therapy) PD were enrolled from March 2007 to May 2010 and followed up until September 2013.Change across time in motor UPDRS score, change across time in total UPDRS score, and time to death. Generalized linear mixed models were used to estimate the effect of BMI on the change in motor and total UPDRS scores after controlling for covariates. Survival was analyzed using Cox proportional hazards models of time to death. A participant's BMI was measured at randomization, and BMI trajectory groups were classified according to whether participants experienced weight loss ("decreasing BMI"), weight stability ("stable BMI"), or weight gain ("increasing BMI") during the study.Of the 1673 participants (mean [SD] age, 61.7 [9.6] years; 1074 [64.2%] were male), 158 (9.4%) experienced weight loss (decreasing BMI), whereas 233 (13.9%) experienced weight gain (increasing BMI). After adjusting for covariates, we found that the weight-loss group's mean (SE) motor UPDRS score increased by 1.48 (0.28) (P < .001) more points per visit than the weight-stable group's mean (SE) motor UPDRS score. The weight-gain group's mean (SE) motor UPDRS score decreased by -0.51 (0.24) (P = .03) points per visit, relative to the weight-stable group. While there was an unadjusted difference in survival between the 3 BMI trajectory groups (log-rank P < .001), this was not significant after adjusting for covariates.Change in BMI was inversely associated with change in motor and total UPDRS scores in the NET-PD LS-1. Change in BMI was not associated with survival; however, these results were limited by the low number of deaths in the NET-PD LS-1.clinicaltrials.gov Identifier: NCT00449865.

SUBMITTER: Wills AM

PROVIDER: S-EPMC5469290 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Association Between Change in Body Mass Index, Unified Parkinson's Disease Rating Scale Scores, and Survival Among Persons With Parkinson Disease: Secondary Analysis of Longitudinal Data From NINDS Exploratory Trials in Parkinson Disease Long-term Study 1.

Wills Anne-Marie A AM Pérez Adriana A Wang Jue J Su Xiao X Morgan John J Rajan Suja S SS Leehey Maureen A MA Pontone Gregory M GM Chou Kelvin L KL Umeh Chizoba C Mari Zoltan Z Boyd James J

JAMA neurology 20160301 3

<h4>Importance</h4>Greater body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) is associated with improved survival among persons with Huntington disease or amyotrophic lateral sclerosis. Weight loss is common among persons with Parkinson disease (PD) and is associated with worse quality of life.<h4>Objective</h4>To explore the association between change in BMI, Unified Parkinson's Disease Rating Scale (UPDRS) motor and total scores, and survival among pe ...[more]

PMID: 26751506

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Project description:BackgroundThe diagnosis of Parkinson's disease (PD) and evaluation of its symptoms require in-person clinical examination. Remote evaluation of PD symptoms is desirable, especially during a pandemic such as the coronavirus disease 2019 pandemic. One potential method to remotely evaluate PD motor impairments is video-based analysis. In this study, we aimed to assess the feasibility of predicting the Unified Parkinson's Disease Rating Scale (UPDRS) score from gait videos using a convolutional neural network (CNN) model.MethodsWe retrospectively obtained 737 consecutive gait videos of 74 patients with PD and their corresponding neurologist-rated UPDRS scores. We utilized a CNN model for predicting the total UPDRS part III score and four subscores of axial symptoms (items 27, 28, 29, and 30), bradykinesia (items 23, 24, 25, 26, and 31), rigidity (item 22) and tremor (items 20 and 21). We trained the model on 80% of the gait videos and used 10% of the videos as a validation dataset. We evaluated the predictive performance of the trained model by comparing the model-predicted score with the neurologist-rated score for the remaining 10% of videos (test dataset). We calculated the coefficient of determination (R2) between those scores to evaluate the model's goodness of fit.ResultsIn the test dataset, the R2 values between the model-predicted and neurologist-rated values for the total UPDRS part III score and subscores of axial symptoms, bradykinesia, rigidity, and tremor were 0.59, 0.77, 0.56, 0.46, and 0.0, respectively. The performance was relatively low for videos from patients with severe symptoms.ConclusionsDespite the low predictive performance of the model for the total UPDRS part III score, it demonstrated relatively high performance in predicting subscores of axial symptoms. The model approximately predicted the total UPDRS part III scores of patients with moderate symptoms, but the performance was low for patients with severe symptoms owing to limited data. A larger dataset is needed to improve the model's performance in clinical settings.

Project description:ObjectiveTo determine whether β-amyloidopathy correlates with apathy rating scores independently of mood changes and other neurodegenerative processes in Parkinson disease (PD).MethodsIn this cross-sectional study, patients with PD (n = 64, 48 male and 16 female, mean age 69.2 ± 6.7 years, Hoehn & Yahr stage 2.7 ± 0.5, Montreal Cognitive Assessment score 25.3 ± 3.0) underwent [11C]Pittsburgh compound B β-amyloid, [11C]dihydrotetrabenazine vesicular monoamine transporter type 2 (VMAT2), and [11C]methyl 4 piperidinyl propionate acetylcholinesterase brain PET imaging and clinical assessments, including the Marin Apathy Evaluation Scale, Clinician Version. Patients were recruited on the basis of having at least 1 risk factor for PD dementia, but they were excluded if they had dementia.ResultsMean apathy rating score was 25.4 ± 6.4, reflecting predominantly subclinical apathy. Apathy rating scale scores correlated with amyloid binding, cognitive, depressive, and anxiety scores but not significantly with age, duration of disease, striatal VMAT2, or cholinergic binding. Multiple regression analysis model (p < 0.0001) showed significant regressor effects for global β-amyloid burden (p = 0.0038) with significant covariate effects for global cognitive z scores (p = 0.028) and for anxiety (p = 0.038) but not with depressive scores. Voxel-based analysis showed robust correlation between apathy rating scale scores and β-amyloid binding in bilateral nuclei accumbens, inferior frontal, and cingulate cortices (family-wise error rate-corrected p < 0.005).ConclusionApathy is independently associated with β-amyloidopathy in patients with PD at risk of dementia. Regional brain findings are most robust for β-amyloidopathy in the nuclei accumbens, inferior frontal, and cingulate regions. Findings may provide an explanation for the often treatment-refractory nature of apathy in advancing PD despite optimized dopaminergic and antidepressant pharmacotherapy.Clinicaltrialsgov identifierNCT01565473.

Dataset Information

Association Between Change in Body Mass Index, Unified Parkinson's Disease Rating Scale Scores, and Survival Among Persons With Parkinson Disease: Secondary Analysis of Longitudinal Data From NINDS Exploratory Trials in Parkinson Disease Long-term Study 1.

Publications

Association Between Change in Body Mass Index, Unified Parkinson's Disease Rating Scale Scores, and Survival Among Persons With Parkinson Disease: Secondary Analysis of Longitudinal Data From NINDS Exploratory Trials in Parkinson Disease Long-term Study 1.

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