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dc.contributor.author | Custodio, Nilton | |
dc.contributor.author | Lira, David | |
dc.contributor.author | Herrera-Perez, Eder | |
dc.contributor.author | Montesinos, Rosa | |
dc.contributor.author | Castro-Suarez, Sheila | |
dc.contributor.author | Cuenca-Alfaro, Jose | |
dc.contributor.author | Cortijo, Patricia | |
dc.date.accessioned | 2019-02-06T14:45:12Z | |
dc.date.available | 2019-02-06T14:45:12Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/5050 | |
dc.description.abstract | Background/aims: Falls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The aim of this study was to develop a multivariate model to predict falling in PD patients. Methods: Prospective cohort with forty-nine PD patients. The area under the receiver-operating characteristic curve (AUC) was calculated to evaluate predictive performance of the purposed multivariate model. Results: The median of PD duration and UPDRS-III score in the cohort was 6 years and 24 points, respectively. Falls occurred in 18 PD patients (30%). Predictive factors for falling identified by univariate analysis were age, PD duration, physical activity, and scores of UPDRS motor, FOG, ACE, IFS, PFAQ and GDS (p-value < 0.001), as well as fear of falling score (p-value = 0.04). The final multivariate model (PD duration, FOG, ACE, and physical activity) showed an AUC = 0.9282 (correctly classified = 89.83%; sensitivity = 92.68%; specificity = 83.33%). Conclusions: This study showed that our multivariate model have a high performance to predict falling in a sample of PD patients. | en_US |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.ispartofseries | eNeurologicalSci | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | Accidental falls | en_US |
dc.subject | Parkinson disease/complications | en_US |
dc.subject | Predictive value of tests | en_US |
dc.subject | Prospective studies | en_US |
dc.title | Predictive model for falling in Parkinson disease patients | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1016/j.ensci.2016.11.003 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.02.25 | |
dc.relation.issn | 2405-6502 |
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