RT Journal Article
T1 Parkinson's Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline
A1 Ayala, Alba
A1 Matias Trivino-Juarez, Jose
A1 Joao Forjaz, Maria
A1 Rodriguez-Blazquez, Carmen
A1 Rojo-Abuin, Jose-Manuel
A1 Martinez-Martin, Pablo
A1 ELEP Project Members, 
K1 Parkinson's disease
K1 disease global severity
K1 predictive model
K1 multilevel analysis
K1 multiple imputation
K1 Quality-of-life
K1 Psychosis rating-scale
K1 Psychometric attributes
K1 Multiple imputation
K1 Sydney multicenter
K1 Prognostic-factors
K1 Hospital anxiety
K1 Progression
K1 Motor
K1 Depression
AB Objective: The aim of this study is to present a predictive model of Parkinson's disease (PD) global severity, measured with the Clinical Impression of Severity Index for Parkinson's Disease (CISI-PD).Methods: This is an observational, longitudinal study with annual follow-up assessments over 3 years (four time points). A multilevel analysis and multiple imputation techniques were performed to generate a predictive model that estimates changes in the CISI-PD at 1, 2, and 3 years.Results: The clinical state of patients (CISI-PD) significantly worsened in the 3-year follow-up. However, this change was of small magnitude (effect size: 0.44). The following baseline variables were significant predictors of the global severity change: baseline global severity of disease, levodopa equivalent dose, depression and anxiety symptoms, autonomic dysfunction, and cognitive state. The goodness-of-fit of the model was adequate, and the sensitive analysis showed that the data imputation method applied was suitable.Conclusion: Disease progression depends more on the individual's baseline characteristics than on the 3-year time period. Results may contribute to a better understanding of the evolution of PD including the non-motor manifestations of the disease.
PB Frontiers media sa
SN 1664-2295
YR 2017
FD 2017-10-30
LK http://hdl.handle.net/10668/19231
UL http://hdl.handle.net/10668/19231
LA en
DS RISalud
RD Apr 11, 2025