Does a Sway-Based Mobile Application Predict Future Falls in People With Parkinson Disease?
Arch Phys Med Rehabil
; 101(3): 472-478, 2020 03.
Article
en En
| MEDLINE
| ID: mdl-31669299
ABSTRACT
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 OUTCOMEMEASURES:
Sway score.RESULTS:
The most predictive logistic regression model included fall history, ABC Scale, and Sway (P<.001). This model explained 61% (Nagelkerke R2) of the variance in fall prediction and correctly classified 85% of fallers. However, only fall history and ABC Scale were statistically significant (P<.02). Participants were 32 times more likely to fall in the future if they fell in the past. The ABC Scale and Mini Balance Evaluation Systems Test (Mini-BESTest) demonstrated greater accuracy than Sway (area under the curve=0.76, 0.72, and 0.65, respectively). Cutoff scores to identify fallers were 85% for the ABC Scale and 21 of 28 for the Mini-BESTest.CONCLUSION:
Sway did not improve the accuracy of predicting future fallers beyond common clinical measures and fall history.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
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Accidentes por Caídas
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Equilibrio Postural
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Aplicaciones Móviles
Tipo de estudio:
Diagnostic_studies
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Health_technology_assessment
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Arch Phys Med Rehabil
Año:
2020
Tipo del documento:
Article