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dc.contributor.authorAyala, Alba 
dc.contributor.authorTriviño-Juárez, José Matías
dc.contributor.authorForjaz, Maria João 
dc.contributor.authorRodriguez-Blazquez, Carmen 
dc.contributor.authorRojo-Abuin, Jose Manuel
dc.contributor.authorMartinez-Martin, Pablo 
dc.date.accessioned2018-04-26T17:37:01Z
dc.date.available2018-04-26T17:37:01Z
dc.date.issued2017
dc.identifier.citationFront Neurol. 2017;8:551es_ES
dc.identifier.issn1664-2295es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/5907
dc.description.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.es_ES
dc.description.sponsorshipThe 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).es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Media es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectParkinson’s diseasees_ES
dc.subjectdisease global severityes_ES
dc.subjectmultilevel analysises_ES
dc.subjectmultiple imputationes_ES
dc.subjectpredictive modeles_ES
dc.titleParkinson's Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baselinees_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.identifier.pubmedID29163328es_ES
dc.format.volume8es_ES
dc.format.page551es_ES
dc.identifier.doi10.3389/fneur.2017.00551es_ES
dc.contributor.funderInstituto de Salud Carlos III 
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderEuropean Regional Development Fund (ERDF/FEDER)
dc.contributor.funderGobierno de la Comunidad Autónoma de Madrid
dc.description.peerreviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3389/fneur.2017.00551es_ES
dc.identifier.journalFrontiers in neurologyes_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución-NoComercial-CompartirIgual 4.0 Internacional
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