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Parkinson's disease severity at 3 years can be predicted from non-motor symptoms at baseline

AuthorsAyala García, Alba CSIC ORCID; Triviño Juárez, Jose Matias; Forjaz, María João; Rodríguez Blázquez, Carmen; Rojo Abuín, José Manuel CSIC ; Martínez Martín, Pablo; Aguilar, M.; Quilez Ferrer, P; Álvarez Sauco, M.; Bayés, Àlex; Blazquez, M; Bergareche, A.; Campos. V; Carballo, M.; Catalán, M. J.; Chacon, J; Cubo, Esther; Fernández García, J. m.; Frades-Payo, María Belén; Garcia Ruiz Espiga, P; Kulisevsky, J.; Linazasoro, G; Lopez del Val, J; Martinez Castrillo, J.C; Mendoza, A.; Mir, Pablo CSIC ORCID; Posada, I; Valldeoriola, Francesc; Vela, L.; Vivancos, F; Ybot, I
KeywordsParkinson’s disease
Disease global severity
Predictive model, Multilevel analysis, Multiple imputation
Issue Date2017
PublisherFrontiers Media
CitationFrontiers in Neurology 8 551):1-8 (2017)
AbstractObjective: 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.
Publisher version (URL)http://dx.doi.org/10.3389/fneur.2017.00551
Identifiersdoi: http://dx.doi.org/10.3389/fneur.2017.00551
issn: 1664-2295
Appears in Collections:(CCHS-IEGD) Artículos
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