Back to Search
Start Over
Neuropsychiatric Burden Is a Predictor of Early Freezing and Motor Progression in Drug-Naïve Parkinson's Disease.
- Source :
-
Journal of Parkinson's disease [J Parkinsons Dis] 2021; Vol. 11 (4), pp. 1947-1956. - Publication Year :
- 2021
-
Abstract
- Background: Neuropsychiatric symptoms (NPS) are the most common non-motor symptom in Parkinson's disease (PD).<br />Objective: To investigate the association between the burden of NPS and motor prognosis in patients with PD.<br />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.<br />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.<br />Conclusion: The present study demonstrated that the severity of NPS is a predictor of early freezing and motor progression in patients with PD.
Details
- Language :
- English
- ISSN :
- 1877-718X
- Volume :
- 11
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of Parkinson's disease
- Publication Type :
- Academic Journal
- Accession number :
- 34151858
- Full Text :
- https://doi.org/10.3233/JPD-212660