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Published on: March 24, 2023
Motor Score Patterns Complement the AIS Grade in the Analysis of Segmental Motor Recovery after Spinal Cord Injury
Louis P Lukas1,2, Lucie Bourguignon1,2,3, Rüdiger Rupp4,5
1Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zürich, Switzerland.
New local motor score patterns improve prediction of spinal cord injury recovery. Analyzing motor score changes along the body helps understand neurological recovery better than standard methods.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Spinal cord injury (SCI) recovery is typically assessed using broad metrics like the American Spinal Injury Association Impairment Scale (AIS) grade.
- Segmental motor scores offer more detailed insights into injury extent and recovery patterns.
- Novel methods are needed to refine the understanding of localized motor recovery post-SCI.
Purpose of the Study:
- To introduce and validate a new qualitative descriptor for local motor score patterns.
- To investigate the relationship between these patterns and segmental motor recovery.
- To assess the predictive value of these patterns compared to the established AIS grade.
Main Methods:
- Utilized data from 1385 patients in the European Multicenter Study about SCI.
- Defined local motor score patterns based on rostrocaudal changes in upper/lower extremity myotomes below the neurological level of injury (NLI).
- Compared predictive performance of models using AIS grade versus local motor score patterns for segmental motor scores at 6 months post-injury.
Main Results:
- Found an increased probability of full motor recovery in myotomes with higher motor scores in the caudal direction.
- Models incorporating local motor score patterns showed predictive performance comparable to the AIS grade (RMSE median 0.80 vs. 0.79).
- Local motor score patterns require examination of only 10 key muscles, unlike the extensive testing needed for AIS grade determination.
Conclusions:
- Local motor score patterns provide valuable insights into SCI motor recovery.
- These patterns can serve as an effective alternative or complement to the AIS grade in predictive models.
- Supports the use of abbreviated sensorimotor examinations for early SCI assessment.
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