2024-03-29T07:01:21Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/2086272022-10-10T07:11:38Zcom_10261_52com_10261_7col_10261_305
Ayala García, Alba
Triviño Juárez, Jose Matias
Forjaz, María João
Rodríguez Blázquez, Carmen
Rojo Abuín, José Manuel
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, Jaime
Linazasoro, G
Lopez del Val, J
Martinez Castrillo, J.C
Mendoza, A.
Mir, Pablo
Posada, I
Valldeoriola, Francesc
Vela, L.
Vivancos, F
Ybot, I
2020-04-22T10:55:21Z
2020-04-22T10:55:21Z
2017
Frontiers in Neurology 8 551):1-8 (2017)
http://hdl.handle.net/10261/208627
10.3389/fneur.2017.00551
http://dx.doi.org/10.13039/501100002924
http://dx.doi.org/10.13039/100012818
http://dx.doi.org/10.13039/501100003329
29163328
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.
https://creativecommons.org/licenses/by/2.0/es/
openAccess
Parkinson’s disease
Disease global severity
Predictive model, Multilevel analysis, Multiple imputation
Parkinson's disease severity at 3 years can be predicted from non-motor symptoms at baseline
artículo