Does a Sway-Based Mobile Application Predict Future Falls in People With Parkinson Disease?
| Autor: | Connie L Fiems, Elizabeth S. Moore, Rachel Snow, Nathan Buchanan, Stephanie A. Miller, Erin Knowles, Elizabeth Larson |
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| Rok vydání: | 2020 |
| Předmět: |
Male
030506 rehabilitation medicine.medical_specialty Movement disorders genetic structures Binomial regression medicine.medical_treatment Physical Therapy Sports Therapy and Rehabilitation Logistic regression Sensitivity and Specificity Disability Evaluation 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Predictive Value of Tests Rating scale medicine Humans Postural Balance Aged Balance (ability) Rehabilitation Receiver operating characteristic business.industry Parkinson Disease Middle Aged Mobile Applications Cross-Sectional Studies Accidental Falls Female Observational study medicine.symptom 0305 other medical science business human activities 030217 neurology & neurosurgery |
| Zdroj: | Archives of Physical Medicine and Rehabilitation. 101:472-478 |
| ISSN: | 0003-9993 |
| DOI: | 10.1016/j.apmr.2019.09.013 |
| Popis: | Objective To determine whether Sway, a sway-based mobile application, predicts falls and to evaluate its discriminatory sensitivity and specificity relative to other clinical measures in identifying fallers in individuals with Parkinson disease (PD). Design Observational cross-sectional study. Setting Community. Participants A convenience sample of subjects with idiopathic PD in Hoehn and Yahr levels I-III (N=59). Interventions Participants completed a balance assessment using Sway, the Movement Disorders Systems-Unified PD Rating Scale motor examination, Mini-BESTest, Activities-specific Balance Confidence (ABC) Scale, and reported 6-month fall history. Participants also reported falls for each of the following 6 months. Binomial logistic regression was used to identify significant predictors of future fall status. Cutoff scores, sensitivity, and specificity were based on receiver operating characteristic plots. Main Outcome Measures Sway score. Results The most predictive logistic regression model included fall history, ABC Scale, and Sway (P Conclusion Sway did not improve the accuracy of predicting future fallers beyond common clinical measures and fall history. |
| Databáze: | OpenAIRE |
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