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| Name | Class |
|---|---|
| Rennes University Hospital | OTHER |
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Gait alteration is frequent in MS and limitation in walking ability is a major concern in MS patients. Umanit and LMJL (Nantes university) has developed a device call egait to assess walking ability in individuals (eg MS patients).
This device consists in a commercialized IMU sensor (MetaMotionR Sensor, Mbientilab) worn at the right hip, a smartphone app and dedicated algorithm/mathematical model to extract raw sensor data and calculate individual gait pattern (IGP). This IGP consists of a curve, based on quaternion and representing the rotation recorded by the IMU during an average gait cycle. Pursue previous works conducted on (IGP to assess) gait alteration in MS by adding (to IGP) new information from MRI.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| eGait | Other | IMU sensor (as part of eGait device) worn at the hip during T25FW |
|
| Measure | Description | Time Frame |
|---|---|---|
| Clustering analyze based on IGP | IGP consists of a curve, based on quaternion and representing the rotation recorded by the IMU during an average gait cycle (0-1). | At the inclusion |
| Clustering analyze based on EDSS score | EDSS is an ordinal scale measuring disability and ranging from 0 (normal examination) to 10 (death due to MS) in a 0,5-point increments from score 1. | At the inclusion |
| Clustering analyze based on MRI lesion load | MRI characteristics are spinal and extraspinal lesion volumes. | At the inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation with disability | Correlation of IGP obtained during a walk of 25 feet with Expanded Disability Status Scale (EDSS). EDSS is an ordinal scale measuring disability and ranging from 0 (normal examination) to 10 (death due to MS) in a 0,5-point increments from score 1. Here EDSS of 0 to 2 inclusive defined as mild, 2,5 to 4 inclusive as moderate and EFDSS of 4,5 to 6 inclusive defined as severe |
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Inclusion Criteria :
Exclusion Criteria :
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MS patients cohort followed at Nantes university hospital or Rennes university hospital (OFSEP HD cohort)
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| David LAPLAUD, PHD | Contact | 33 2 40 16 52 00 | david.laplaud@chu-nantes.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Nantes University Hospital | Recruiting | Nantes | Loire-Atlantique | 44093 | France |
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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| At the inclusion |
| Correlation with MRI lesion load | Add lesion load (Spinal and extraspinal lesion volume) from MRI to previous correlation. | At the inclusion |
| Building a predictive model for lesion load involving in walk ability from IGP | Root mean square error between observed and lesion load predicted by the model, calculated by cross-validation. | At the inclusion |
| Building a predictive model for group belonging from group established in main outcome based on IGP | Multiclass accuracy between real and predict group, calculated by cross-validation | At the inclusion |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |