The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability
Abstract Introduction Gait disturbance in central nervous system (CNS) demyelinating disorders, including multiple sclerosis (MS) and neuromyelitis optica (NMO) is one of the most troublesome problems that has a direct impact on the quality of life. However, the associations between gait disturbance...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Neurology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12883-023-03210-w |
| _version_ | 1797836394445406208 |
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| author | Min Cheol Chang Byung Joo Lee Dongseok Yang Chung Reen Kim Donghwi Park Sunyoung Kim |
| author_facet | Min Cheol Chang Byung Joo Lee Dongseok Yang Chung Reen Kim Donghwi Park Sunyoung Kim |
| author_sort | Min Cheol Chang |
| collection | DOAJ |
| description | Abstract Introduction Gait disturbance in central nervous system (CNS) demyelinating disorders, including multiple sclerosis (MS) and neuromyelitis optica (NMO) is one of the most troublesome problems that has a direct impact on the quality of life. However, the associations between gait disturbance and other clinical variables of these two diseases have not been fully elucidated. Objective This study aimed to evaluate gait disturbance using a computerized gait analysis system and its association with various clinical variables in patients with MS and NMO. Methods A total of 33 patients (14 with MS and 19 with NMO) with minor disabilities, who were able to walk independently and had passed their acute phase, were enrolled in the study. Gait analysis were performed using a computer-based instrumented walkway system. (Walk-way MG-1000, Anima, Japan) Clinical variables, such as disease duration, medication, body mass index (BMI), hand grip power, and muscle mass were recorded. The Montreal Cognitive Assessment (MOCA), Beck Depression Inventory score-II (BDI), and fatigue scale were measured using the Functional Assessment of Chronic Illness Therapy-fatigue scale (FACIT-fatigue) scale. A trained neurologist scored the Expanded Disability Status Scale (EDSS). Results Gait speed was the single parameter that showed a significant positive correlation with MOCA (p < 0.001). The stance phase time was the single parameter that showed a significant negative correlation with EDSS (p < 0.001). Hand grip strength showed a significant positive correlation with skeletal muscle mass as assessed by bioimpedance analysis (p < 0.05). The FACIT-fatigue scale score showed a significant negative correlation with the BDI (p < 0.001). Conclusion In our patients with MS/NMO with mild disability, cognitive impairment was significantly correlated with gait speed, and the degree of disability was significantly correlated with stance phase time. Our findings may imply that early detection of a decrease in gait speed and an increase in stance phase time can predict the progression of cognitive impairment in patients with MS/NMO with mild disability. |
| first_indexed | 2024-04-09T15:08:08Z |
| format | Article |
| id | doaj.art-11ac500c8a704dca802e423b3c234d54 |
| institution | Directory Open Access Journal |
| issn | 1471-2377 |
| language | English |
| last_indexed | 2024-04-09T15:08:08Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Neurology |
| spelling | doaj.art-11ac500c8a704dca802e423b3c234d542023-04-30T11:19:33ZengBMCBMC Neurology1471-23772023-04-012311810.1186/s12883-023-03210-wThe association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disabilityMin Cheol Chang0Byung Joo Lee1Dongseok Yang2Chung Reen Kim3Donghwi Park4Sunyoung Kim5Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam UniversityDepartment of Physical Medicine and Rehabilitation, Daegu Fatima HospitalDepartment of Physical Medicine and Rehabilitation, Ulsan University Hospital, Ulsan University College of MedicineDepartment of Physical Medicine and Rehabilitation, Ulsan University Hospital, Ulsan University College of MedicineDepartment of Physical Medicine and Rehabilitation, Daegu Fatima HospitalDepartment of Neurology, Ulsan University Hospital, Ulsan University College of MedicineAbstract Introduction Gait disturbance in central nervous system (CNS) demyelinating disorders, including multiple sclerosis (MS) and neuromyelitis optica (NMO) is one of the most troublesome problems that has a direct impact on the quality of life. However, the associations between gait disturbance and other clinical variables of these two diseases have not been fully elucidated. Objective This study aimed to evaluate gait disturbance using a computerized gait analysis system and its association with various clinical variables in patients with MS and NMO. Methods A total of 33 patients (14 with MS and 19 with NMO) with minor disabilities, who were able to walk independently and had passed their acute phase, were enrolled in the study. Gait analysis were performed using a computer-based instrumented walkway system. (Walk-way MG-1000, Anima, Japan) Clinical variables, such as disease duration, medication, body mass index (BMI), hand grip power, and muscle mass were recorded. The Montreal Cognitive Assessment (MOCA), Beck Depression Inventory score-II (BDI), and fatigue scale were measured using the Functional Assessment of Chronic Illness Therapy-fatigue scale (FACIT-fatigue) scale. A trained neurologist scored the Expanded Disability Status Scale (EDSS). Results Gait speed was the single parameter that showed a significant positive correlation with MOCA (p < 0.001). The stance phase time was the single parameter that showed a significant negative correlation with EDSS (p < 0.001). Hand grip strength showed a significant positive correlation with skeletal muscle mass as assessed by bioimpedance analysis (p < 0.05). The FACIT-fatigue scale score showed a significant negative correlation with the BDI (p < 0.001). Conclusion In our patients with MS/NMO with mild disability, cognitive impairment was significantly correlated with gait speed, and the degree of disability was significantly correlated with stance phase time. Our findings may imply that early detection of a decrease in gait speed and an increase in stance phase time can predict the progression of cognitive impairment in patients with MS/NMO with mild disability.https://doi.org/10.1186/s12883-023-03210-wGaitGait analysisCognitive functionMultiple sclerosisNeuromyelitis optica |
| spellingShingle | Min Cheol Chang Byung Joo Lee Dongseok Yang Chung Reen Kim Donghwi Park Sunyoung Kim The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability BMC Neurology Gait Gait analysis Cognitive function Multiple sclerosis Neuromyelitis optica |
| title | The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| title_full | The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| title_fullStr | The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| title_full_unstemmed | The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| title_short | The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| title_sort | association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability |
| topic | Gait Gait analysis Cognitive function Multiple sclerosis Neuromyelitis optica |
| url | https://doi.org/10.1186/s12883-023-03210-w |
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