Abstract
Background: Assessment of fall risk in an individual with Parkinson disease (PD) is a critical yet often time consuming component of patient care. Recently a simple clinical prediction tool based only on fall history in the previous year, freezing of gait in the past month, and gait velocity <1.1m/s was developed and accurately predicted future falls in a sample of individuals with PD. METHODS: We sought to externally validate the utility of the tool by administering it to a different cohort of 171 individuals with PD. Falls were monitored prospectively for 6 months following predictor assessment. RESULTS: The tool accurately discriminated future fallers from non-fallers (area under the curve [AUC]=0.83; 95% CI 0.76-0.89), comparable to the developmental study. CONCLUSION: The results validated the utility of the tool for allowing clinicians to quickly and accurately identify an individual's risk of an impending fall.
Original language | English (US) |
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Pages (from-to) | 960-963 |
Number of pages | 4 |
Journal | Parkinsonism and Related Disorders |
Volume | 21 |
Issue number | 8 |
DOIs | |
State | Published - Aug 1 2015 |
Externally published | Yes |
Keywords
- Fall prediction
- Fall risk
- Falls
- Parkinson disease
ASJC Scopus subject areas
- Neurology
- Geriatrics and Gerontology
- Clinical Neurology