Stroke Clinical Trial
Official title:
Visual Observation Scale for the Upper Limb During Walking in Patients After Stroke.
NCT number | NCT05128370 |
Other study ID # | BC-10309 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | December 1, 2021 |
Est. completion date | March 16, 2022 |
Verified date | October 2021 |
Source | University Hospital, Ghent |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
For several years now, it has been demonstrated that the upper limb plays an important role in the function of an efficient and balanced gait pattern in healthy adults. After a stroke, the reduced muscle strength has a clear influence on the gait pattern, but also on the active movement possibilities of the upper limb. However, the role of the upper limb during gait is not sufficiently explored in the literature. The gold standard for motion analysis is a 3D analysis performed with infrared cameras capturing reflective markers during gait. Unfortunately, it is not possible for all people after a stroke to undergo this examination. On the one hand, patients must already have a certain degree of independence with regard to gait. On the other hand, not all centers have access to this expensive accommodation. There are some validated observation scales for people after stroke to describe the gait based on a 2D video image. This method is much more accessible and can be applied by any therapist. However, to date there has been little attention paid to the upper limb in these observation scales. Therefore, analogous to the observation scales for gait, an observation scale for the upper limb during gait was set up. The use of this scale can add value to the rehabilitation of people after a stroke. - The treatment team will receive information about the patient's complete movement pattern. - The arm will be more prominent when setting rehabilitation goals related to gait. This can lead to a positive effect on the gait pattern itself, but also to more attention being paid to the arm, which has a more difficult recovery than the leg after a stroke. The aim of the current study will be - to determine the inter and intra tester reliability of this visual observation scale - to investigate if the results of the visual observation scale correlate to a 3D assessment performed in a subgroup of participants
Status | Completed |
Enrollment | 25 |
Est. completion date | March 16, 2022 |
Est. primary completion date | March 16, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - All stroke patients who are able to walk with or without the use of a unilateral walking device (stick, tripod) for at least 10 m. - Normal ambulation prior to stroke. - Unilateral stroke. Exclusion Criteria: - Other neurologic conditions. - Orthopedic conditions that influence gait. - Visual impairments that impede independent walking. - Cerebellar stroke |
Country | Name | City | State |
---|---|---|---|
Belgium | University Hospital Ghent | Gent |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Ghent | Algemeen Ziekenhuis Maria Middelares, Belgisch Zee Instituut Oostende |
Belgium,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Interrater reliability of the upper limb observation scale | Intraclass correlation coefficient between the different raters who rate the same observation at the same time. | Single point of assessment within one week after the 2D video has been made | |
Primary | Intrarater reliability of the upper limb observation scale | Intraclass correlation coefficient between the same rater rating the videos within a period of 2 weeks from each other. | Assessment at 2 points in time with an interval of 2 weeks. | |
Primary | Kinematic assessment of the arm swing during walking | Correlation statistics between items of the upper limb observation scale and kinematic graphs of the 3D assessment which will be performed within a week after the 2D assessment. | Single point of assessment within one week | |
Primary | Visual observation scale for the upper limb during walking | Total score on the upper limb visual observation scale (max score 34) | Single point of assessment within one week after the 2D video has been made | |
Secondary | Demographic variables | Age, gender, date of birth, stroke date, type of stroke, side of paresis, stroke location | Single point of assessment at assessment day 1 | |
Secondary | Fugl Meyer assessment upper limb section | Active recovery of the upper limb | Single point of assessment at assessment day 1 | |
Secondary | Fugl Meyer assessment lower limb section | Active recovery of the lower limb | Single point of assessment at assessment day 1 | |
Secondary | Upper limb spasticity (Modified Ashworth Scale) | Modified Ashworth Scale (minimum 0 - maximum 4, higher score is more spasticity = worse outcome) of shoulder flexors, extensors, internal rotators, external rotators, adductors, abductors, elbow flexors, elbow extensors, wrist flexors, wrist extensors, finger flexors and finger extensors | Single point of assessment at assessment day 1 | |
Secondary | Passive range of motion shoulder and elbow | Goniometric measurement of shoulder flexion, abduction, external rotation, internal rotation and elbow flexion/extension (degrees) | Single point of assessment at assessment day 1 | |
Secondary | Sensory assessment of the upper limb | UL sensory testing using the Erasmus MC Modificatie van de (revised) Nottigham Sensory Assessment | Single point of assessment at assessment day 1 | |
Secondary | Shoulder subluxation (palpation) | Palpating the gap between the acromion and the humeral head | Single point of assessment at assessment day 1 | |
Secondary | Trunk control | Assessing the trunk impairment using the trunk impairment scale | Single point of assessment at assessment day 1 | |
Secondary | Upper limb pain during walking | Using a numeric rating scale (0-10) to assess pain at the upper limb during walking | Single point of assessment at assessment day 1 | |
Secondary | Gait speed | Calculating gait speed (m/s) based on the time it takes to complete the 10m walking | Single point of assessment at assessment day 1 |
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