Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study

We conducted an observational study to investigate clinical predictors of cognitive decline in patients with mild cognitive impairment (MCI), with a focus on patients with Parkinson’s disease (PD) and Alzheimer’s disease (AD). The study was performed with detailed neuropsychological testing, a porta...

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Main Authors: Pei-Hao Chen, Fang-Yu Cheng, Shih-Jung Cheng, Jin-Siang Shaw
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Parkinson's Disease
Online Access:http://dx.doi.org/10.1155/2020/8983960
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author Pei-Hao Chen
Fang-Yu Cheng
Shih-Jung Cheng
Jin-Siang Shaw
author_facet Pei-Hao Chen
Fang-Yu Cheng
Shih-Jung Cheng
Jin-Siang Shaw
author_sort Pei-Hao Chen
collection DOAJ
description We conducted an observational study to investigate clinical predictors of cognitive decline in patients with mild cognitive impairment (MCI), with a focus on patients with Parkinson’s disease (PD) and Alzheimer’s disease (AD). The study was performed with detailed neuropsychological testing, a portable device for gait analysis, and a comprehensive geriatric assessment for patients with MCI. Cognitive decline was defined as subjective cognitive impairment with an objective decline in the Mini-Mental State Examination (MMSE) ≥2 points at the one-year follow-up. Participants (n = 74) had a median age of 70 (interquartile range 60–79) years, and 45.9% of them were women. At the end of the study, 17.6% of the patients with MCI had a cognitive decline. Although no differences were observed between groups at the baseline cognitive study, patients with PD-MCI demonstrated more cognitive decline than patients with AD-MCI (28.6% vs. 7.7% p = 0.03). Patients with PD-MCI had more physical disabilities, including scores of instrumental activities of daily living (IADL), Tinetti balance, and gait scores, and some Timed Up and Go components. Initial Clinical Dementia Rating—Sum of Boxes score was a better predictor of future cognitive decline than MMSE in PD-MCI. For predicting the occurrence of cognitive decline in PD-MCI, the prediction accuracy increased from the reduced model (AUC = 0.822, p<0.001) to the full model (a total of five independent variables, AUC = 0.974, p<0.001). Given the potentially modifiable predictor, our findings also highlight the importance of identifying sleep quality and the ability to perform IADL.
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spelling doaj-art-0a7c419f3e574762905b6594f9c6b4e32025-02-03T06:46:21ZengWileyParkinson's Disease2090-80832042-00802020-01-01202010.1155/2020/89839608983960Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational StudyPei-Hao Chen0Fang-Yu Cheng1Shih-Jung Cheng2Jin-Siang Shaw3Graduate Institute of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, TaiwanInstitute of Long-term Care, MacKay Medical College, New Taipei City, TaiwanDepartment of Neurology, MacKay Memorial Hospital, Taipei, TaiwanInstitute of Mechatronic Engineering, National Taipei University of Technology, Taipei, TaiwanWe conducted an observational study to investigate clinical predictors of cognitive decline in patients with mild cognitive impairment (MCI), with a focus on patients with Parkinson’s disease (PD) and Alzheimer’s disease (AD). The study was performed with detailed neuropsychological testing, a portable device for gait analysis, and a comprehensive geriatric assessment for patients with MCI. Cognitive decline was defined as subjective cognitive impairment with an objective decline in the Mini-Mental State Examination (MMSE) ≥2 points at the one-year follow-up. Participants (n = 74) had a median age of 70 (interquartile range 60–79) years, and 45.9% of them were women. At the end of the study, 17.6% of the patients with MCI had a cognitive decline. Although no differences were observed between groups at the baseline cognitive study, patients with PD-MCI demonstrated more cognitive decline than patients with AD-MCI (28.6% vs. 7.7% p = 0.03). Patients with PD-MCI had more physical disabilities, including scores of instrumental activities of daily living (IADL), Tinetti balance, and gait scores, and some Timed Up and Go components. Initial Clinical Dementia Rating—Sum of Boxes score was a better predictor of future cognitive decline than MMSE in PD-MCI. For predicting the occurrence of cognitive decline in PD-MCI, the prediction accuracy increased from the reduced model (AUC = 0.822, p<0.001) to the full model (a total of five independent variables, AUC = 0.974, p<0.001). Given the potentially modifiable predictor, our findings also highlight the importance of identifying sleep quality and the ability to perform IADL.http://dx.doi.org/10.1155/2020/8983960
spellingShingle Pei-Hao Chen
Fang-Yu Cheng
Shih-Jung Cheng
Jin-Siang Shaw
Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
Parkinson's Disease
title Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
title_full Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
title_fullStr Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
title_full_unstemmed Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
title_short Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study
title_sort predicting cognitive decline in parkinson s disease with mild cognitive impairment a one year observational study
url http://dx.doi.org/10.1155/2020/8983960
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