RT info:eu-repo/semantics/article
T1 Parkinson’s Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline
A1 Ayala, Alba
A1 Triviño Juárez, José Matías
A1 Forjaz, María Joao
A1 Rodríguez Blázquez, Carmen
A1 Rojo Abuin, José Manuel
A1 Martínez Martín, Pablo
A1 Cubo Delgado, Esther
A1 ELEP Group
K1 Parkinson’s disease
K1 Disease global severity
K1 Predictive model
K1 Multilevel analysis
K1 Multiple imputation
K1 Sistema nervioso-Enfermedades
K1 Nervous system-Diseases
K1 Neurología
K1 Neurology
K1 Medicina
K1 Medicine
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
YR 2017
FD 2017-10
LK http://hdl.handle.net/10259/8780
UL http://hdl.handle.net/10259/8780
LA eng
NO 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).
DS Repositorio Institucional de la Universidad de Burgos
RD 12-may-2024