Abstract
Falls are common among persons with Parkinson's disease (PD). On the other hand, predicting falls is complex as there are both generic and PD-specific contributors. In particular, the role of non-motor symptoms has been less studied. The objective of this study was to identify the role of non-motor predictors of falling in persons with PD (PwP). A cross-sectional study was carried out in PwP recruited from a movement disorders clinic. Clinical and demographical data were collected. All PwP were assessed using the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and the Non-Motor Symptoms Scale (NMSS). Variables were assessed at the bivariate level. Significant variables were put into a logistic regression model. A total of 179 PwP were included. Overall, 16.8% of PwP had fallen in the past 12 months, with 53.3% of them being recurrent fallers. The mean number of monthly falls was 2.5 ± 3.3. Factors associated with falling in the bivariate analysis included the disease duration, Hoehn and Yahr stage, MDS-UPDRS part I and II, postural instability/gait disturbance (PIGD) subtype, NMSS urinary domain, NMSS miscellaneous domain, and non-motor severity burden (all p-values < 0.05). After multivariate analysis, only the disease duration (p = 0.03) and PIGD (p = 0.03) remained as independent risk factors. Disease duration and the PIGD subtype were identified as relevant risk factors for falls in PwP Non-motor symptoms appear to have a less important role as risk factors for falls.
Highlights
Falls are common among persons with Parkinson’s disease (PD)
The objective of this study was to assess the role of non-motor symptoms (NMS) in the risk of falling in persons with PD (PwP) along with motor and clinical factors
A total of 179 PwP were included in the study
Summary
Falls are common among persons with Parkinson’s disease (PD). On the other hand, predicting falls is complex as there are both generic and PD-specific contributors. Objective: The objective of this study was to identify the role of non-motor predictors of falling in persons with PD (PwP). All PwP were assessed using the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) and the Non-Motor Symptoms Scale (NMSS). Factors associated with falling in the bivariate analysis included the disease duration, Hoehn and Yahr stage, MDS-UPDRS part I and II, postural instability/gait disturbance (PIGD) subtype, NMSS urinary domain, NMSS miscellaneous domain, and non-motor severity burden (all p-values < 0.05). Conclusion: Disease duration and the PIGD subtype were identified as relevant risk factors for falls in PwP. Todos los PcP se evaluaron con la Escala Unificada de Enfermedad de Parkinson modificada por la Sociedad Internacional de Trastornos del Movimiento (MDS-UPDRS) y la Escala de Síntomas No Motores (NMSS). Predicting risk of falling is complex due to its Instituto Nacional de Neurología y Neurocirugía, Clínica de Trastornos del Movimiento, Mexico City, Mexico
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