| Unique ID issued by UMIN | UMIN000056854 |
|---|---|
| Receipt number | R000064988 |
| Scientific Title | Comparative Observational Study of Different Complex Walking Tasks in Patients with Subacute Stroke |
| Date of disclosure of the study information | 2025/03/01 |
| Last modified on | 2026/05/08 11:58:48 |
Comparative Observational Study of Different Complex Walking Tasks in Patients with Subacute Stroke
Comparative Observational Study of Different Complex Walking Tasks in Patients with Subacute Stroke
Comparative Observational Study of Different Complex Walking Tasks in Patients with Subacute Stroke
Comparative Observational Study of Different Complex Walking Tasks in Patients with Subacute Stroke
| Japan |
Stroke
| Rehabilitation medicine |
Others
NO
By comparing complex gait tasks with an additional visuospatial task and those incorporating a visuospatial task in subacute stroke patients, this study aims to explore patient characteristics that are more responsive to each task. Additionally, it seeks to determine which approach is more optimal for predicting fall risk during hospitalization.
Efficacy
Exploratory
Pragmatic
Not applicable
Dual Task Effect
Number of falls
Incidence of falls
Age
Sex
Years of Education
Body Mass Index
Past Medical history:diabetes, heart disease)
Types of Walking Aids
Presence or Absence of Aphasia
Lesion Location, Type, and Number of Brain Injuries
Days Since Onset
Fugl-Meyer Assessment
Mini-Balance Evaluation Systems Test
Stroke Impairment Assessment Set-Sensory Function
10-Meter Walk Test(Maximum Effort, Walking Speed, and Step Count)
3m Timed Up and Go test
Trail Making Test A & B
Catherine Bergego Scale
Mini-Mental State Examination
Functional Independence Measure
Falls Efficacy Scale-International
Acceleration and Angular Velocity During Walking
Visual Analog Scale
Temporal Experience Tracing
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
(1)Individuals with Functional Ambulation Category score of 4 or higher(use of a cane or lower-limb orthosis is permitted).
(2)Individuals capable of independently walking at least 90 meters continuously .
(3)Individuals engaged in dual-task walking or walking training with an additional or incorporated cognitive task
(1)Individuals with severe higher brain dysfunction, cognitive impairment, or visual impairment that prevents them from understanding or completing the experimental tasks.
(2)Individuals experiencing pain that interferes with walking.
(3)Individuals who cannot walk without using walking aids other than a cane or lower-limb orthosis (e.g., a walker or rollator).
100
| 1st name | Tatsuya |
| Middle name | |
| Last name | Wada |
Aijinkai Rehabilitation Hospital
Rehabilitation Technology Division
569-1116
5-7, Hakubai-Cho, Takatsuki-Shi, Osaka
072-683-1212
wada.tatsuya.x1@aijinkai-group.com
| 1st name | Tatsuya |
| Middle name | |
| Last name | Wada |
Aijinkai Rehabilitation Hospital
Rehabilitation Technology Division
569-1116
5-7, Hakubai-Cho, Takatsuki-Shi, Osaka
072-683-1212
wada.tatsuya.x1@aijinkai-group.com
Aijinkai Rehabilitation Hospital
Tatsuya Wada
None
Self funding
Aijinkai Rehabilitation Hospital
5-7, Hakubai-Cho, Takatsuki-Shi, Osaka
072-683-1212
wada.tatsuya.x1@aijinkai-group.com
NO
| 2025 | Year | 03 | Month | 01 | Day |
Unpublished
Enrolling by invitation
| 2025 | Year | 01 | Month | 29 | Day |
| 2025 | Year | 05 | Month | 02 | Day |
| 2025 | Year | 05 | Month | 11 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
(1) Study design
An internal-pilot, sequential Bayes-factor design will be employed. Feasibility (completion rate, data-capture success, adverse events) will be assessed after the first 5 participants; if no protocol amendment is required, the main study proceeds. The first Bayesian analysis will be carried out at n = 25. Data collection will stop when BF10 >= 10 (supporting the alternative) or BF10 <= 0.1 (supporting the null). When BF10 is between 0.1 and 10, additional cohorts of 20 participants will be enrolled until either boundary is reached or the cap of 100 participants is met.
(2) Target sample size and rationale
G*Power 3.1 (alpha = 0.05; power = 0.80; assumed fall rate = 20%) indicated that 25, 70, and 308 participants are required in logistic regression to detect odds ratios (OR) of 5.0, 2.5, and 1.5, respectively. The study therefore begins with 25 participants and sets an upper limit of 100 to provide sufficient power to detect a moderate effect (OR about 2.5) while minimizing unnecessary enrollment.
(3) Statistical analyses
(3-1) To identify patient characteristics associated with greater responsiveness to each walking task, Dual-Task Cost (DTC) will be modeled as the dependent variable in Bayesian hierarchical models and decision-tree analysis with secondary outcomes such as gait speed as predictors.
(3-2) In-hospital fall occurrence and count will be the dependent variables. Bayesian logistic or Poisson regression with DTC from each walking task as independent variables will evaluate their association with falls.
(4) Software
Analyses will be performed with R (v 4.3.1), JASP (v 0.19.3), and Python (Jupyter Notebook).
| 2025 | Year | 01 | Month | 29 | Day |
| 2026 | Year | 05 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064988