Abstract
Background: Neuropsychiatric symptoms (NPS) are the most common non-motor symptom in Parkinson's disease (PD). Objective: To investigate the association between the burden of NPS and motor prognosis in patients with PD. Methods: We enrolled 329 drug-naïve patients with PD, who was non-demented and followed-up≥2 years after their first visit to the clinic with baseline dopamine transporter (DAT) imaging and neuropsychiatric inventory (NPI) scores. We performed a survival analysis and a linear mixed model analysis to assess longitudinal motor outcomes according to the NPI total score. Results: The Kaplan-Meier analysis showed no difference in the development of levodopa-induced dyskinesia and wearing-off according to the NPI total score. However, higher burden of NPI total score was associated with earlier freezing of gait (FOG) development in the time-dependent Cox regression models after adjusting for age at symptom onset, sex, disease duration, Unified PD Rating Scale motor score, baseline Mini-Mental State Examination score, DAT activity in the posterior putamen and levodopa-equivalent daily dose (LEDD) (Hazard ratio 1.047, p = 0.002). A linear mixed model analysis revealed that patients with a higher NPI total score had a more rapid LEDD increment (NPI×time, p = 0.003). Among 52 patients with PD who eventually developed FOG during the follow-up period, there was a significant correlation between the NPI total score and time with FOG development (γ= -0.472; p = 0.001) after adjusting for confounding factors. Conclusion: The present study demonstrated that the severity of NPS is a predictor of early freezing and motor progression in patients with PD.
Original language | English |
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Pages (from-to) | 1947-1956 |
Number of pages | 10 |
Journal | Journal of Parkinson's disease |
Volume | 11 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2021 |
Bibliographical note
Funding Information:This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2019R1A2C2085462)
Publisher Copyright:
© 2021 - IOS Press. All rights reserved.
All Science Journal Classification (ASJC) codes
- Clinical Neurology
- Cellular and Molecular Neuroscience