@misc{10481/94665,
year = {2017},
month = {10},
url = {https://hdl.handle.net/10481/94665},
abstract = {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.},
organization = {The Spanish Longitudinal PD Patient Study (Estudio longitudinal de pacientes con enfermedad de Parkinson) was supported by 
an Intramural Research Programme grant from the Carlos III Institute of Health (Code: EPY1271/05). Partial funding was 
also obtained from the following grants: ENVACES (MINECO/FEDER/UE, ref. CSO2015-64115-R) and ENCAGE-CM 
(Comunidad de Madrid, ref. S2015/HUM-3367).},
publisher = {Frontiers Media S.A.},
keywords = {Parkinson's disease},
keywords = {disease global severity},
keywords = {predictive model},
title = {Parkinson's Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline},
doi = {10.3389/fneur.2017.00551},
author = {Ayala, Alba and Triviño Juárez, José Matías and Forjaz, Maria João and Rodríguez-Blázquez, Carmen and Rojo-Abuin, José-Manuel and Martínez-Martín, Pablo},
}