Abstract

BackgroundFalls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The objective of this prospective study was to investigate clinical and instrumented tests of balance and gait in both OFF and ON medication states and to verify their utility in the prediction of future falls in PD patients.MethodsForty-five patients with idiopathic PD were examined in defined OFF and ON medication states within one examination day including PD-specific clinical tests, instrumented Timed Up and Go test (iTUG) and computerized dynamic posturography. The same gait and balance tests were performed in 22 control subjects of comparable age and sex. Participants were then followed-up for 6 months using monthly fall diaries and phone calls.ResultsDuring the follow-up period, 27/45 PD patients and 4/22 control subjects fell one or more times. Previous falls, fear of falling, more severe motor impairment in the OFF state, higher PD stage, more pronounced depressive symptoms, higher daily levodopa dose and stride time variability in the OFF state were significant risk factors for future falls in PD patients. Increased stride time variability in the OFF state in combination with faster walking cadence appears to be the most significant predictor of future falls, superior to clinical predictors.ConclusionIncorporating instrumented gait measures into the baseline assessment battery as well as accounting for both OFF and ON medication states might improve future fall prediction in PD patients. However, instrumented testing in the OFF state is not routinely performed in clinical practice and has not been used in the development of fall prevention programs in PD. New assessment methods for daylong monitoring of gait, balance and falls are thus required to more effectively address the risk of falling in PD patients.

Highlights

  • Falls are a common and disabling complication of advancing Parkinson’s disease (PD)

  • Forty-five patients with idiopathic Parkinson's disease (PD) were examined in defined OFF and ON medication states within one examination day including PD-specific clinical tests, instrumented Timed Up and Go test and computerized dynamic posturography

  • The best clinical predictors of future falls in PD reported in prospectively designed studies appear to be a history of falls [6,7,8,9,10], increased disease severity [5, 9, 11], the presence of freezing of gait (FOG) [8, 12], fear of falling [13, 14], poor balance [8, 12, 15, 16] and reduced mobility [12, 17, 18]

Read more

Summary

Introduction

Falls are a common and disabling complication of advancing Parkinson’s disease (PD). In various studies, 35 to 90% of patients have reported at least one fall per year and two thirds of patients are recurrent fallers [1]. Patients with advanced PD commonly sustain levodopa-induced motor fluctuations and dyskinesias It is unclear whether the current motor state affects the likelihood of falling. It has been suggested that falls occur rather in the ON medication state when patients are more mobile [20], while others have argued that falls occur in the OFF state due to poor motor performance [21] Examination in both the ON and OFF states may help to elaborate fall risk in relation to medication state [22]. Numerous risk factors are known, reliable predictors of future falls are still lacking The objective of this prospective study was to investigate clinical and instrumented tests of balance and gait in both OFF and ON medication states and to verify their utility in the prediction of future falls in PD patients

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.