- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01825486
Balance and Gait Characteristics to Predict Accidental Falls in Community-dwelling Stroke Elderly
Background: Accidental falls result in major physical and psychological morbidity in the elderly, especially stroke patients. To get optimal prevention of stroke falls, it is crucial to identify independent risk factors from multivariate analysis of related balance and gait parameters.
Aim: To evaluate the effects of balance and gait characteristics in determining whether or not accidental falls may happen. To investigate if the balance and gait parameters affect the time from lesion to when (and if) patients suffer from falls. To compare differences of balance and gait parameters in accidental fall patients between those with severe accidental injuries and those without severe injuries.
Methods: The 2-year observational cohort study will enroll 706 elderly stroke patients, who have not had a previous stroke. They will be retrieved from the Inpatient department and followed-up regularly in the Outpatient department when they are discharged. All subjects will be evaluated at 1 month and 6 months after stroke. These evaluations will include: mental, cognition and depression status; lower-limb muscle strength assessed by a dynamometer as well as range of motion of joints assessed by a biaxial electro-goniometry; functional independence measure; balance and gait pattern will be assessed by both clinical observation and objective laboratory examination (a dynamic posturography and computerized gait analysis system); falls and fall-related injuries during the proceeding year. Differences in baseline characteristics are tested by one-way ANOVA, Mann Whitney U or t tests, if appropriate. The investigators will identify the independent risk factors of accidental falls with logistic regression and use the log rank statistic of Kaplan-Meier survival curve to differentiate the risk of accidental falls or fall-related injuries in different groups.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Contacts and Locations
Study Locations
-
-
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Changhua, Taiwan, 500
- Changhua Christian Hospital Taiwan
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- age>65
- confirmed stroke by CT or MRI
- first-ever stroke
- with walking ability after stroke onset 1 month
Exclusion Criteria:
- fall history before stroke
- living in nursing home
- unstable physical sign
- seizure attack during study
- impaired cognition
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
accidental falls
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Computerized balance evaluation
Time Frame: 1 month after the first stroke
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computerized balance and gait evaluation by a posturography and gait analysis system
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1 month after the first stroke
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Geriatric Depression Scale
Time Frame: 1 month after the first stroke
|
Geriatric Depression Scale to measure depression
|
1 month after the first stroke
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- I050309
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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