External validation of a simple clinical tool used to predict falls in people with Parkinson disease
Files
Accepted manuscript
Date
2015-08-01
DOI
Authors
Duncan, Ryan P.
Cavanaugh, James T.
Earhart, Gammon M.
Ellis, Terry D.
Ford, Matthew P.
Foreman, K. Bo
Leddy, Abigail L.
Paul, Serene S.
Canning, Colleen G.
Thackeray, Anne
Version
OA Version
Citation
Ryan P Duncan, James T Cavanaugh, Gammon M Earhart, Terry D Ellis, Matthew P Ford, K Bo Foreman, Abigail L Leddy, Serene S Paul, Colleen G Canning, Anne Thackeray, Leland E Dibble. 2015. "External validation of a simple clinical tool used to predict falls in people with Parkinson disease." Parkinsonism & Related Disorders, Volume 21, Issue 8, pp. 960 - 963 (4). https://doi.org/10.1016/j.parkreldis.2015.05.008
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 <1.1 m/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.
Description
Published in final edited form as:
Parkinsonism Relat Disord. 2015 August ; 21(8): 960–963. doi:10.1016/j.parkreldis.2015.05.008.