[HTML][HTML] Predicting cognitive decline in parkinson's disease with mild cognitive impairment: A one-year observational study

PH Chen, FY Cheng, SJ Cheng, JS Shaw - Parkinson's Disease, 2020 - hindawi.com
PH Chen, FY Cheng, SJ Cheng, JS Shaw
Parkinson's Disease, 2020hindawi.com
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 …
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%  = 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, ) to the full model (a total of five independent variables, AUC = 0.974, ). 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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