4.2 Article

Characterization of Spinal Cord Injury Patients for Arm Functional Restoration through Nerve Transfer

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CAMBRIDGE UNIV PRESS
DOI: 10.1017/cjn.2023.255

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Spinal cord injury; nerve regeneration; neurosurgery; clinical epidemiology

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This study provides information on the epidemiological and injury-related characteristics of patients with traumatic spinal cord injuries, with the aim of identifying potential candidates for nerve transfers.
Introduction: Traumatic spinal cord injuries (tSCI) are common, often leaving patients irreparably debilitated. Therefore, novel strategies such as nerve transfers (NT) are needed for mitigating secondary SCI damage and improving function. Although different tSCI NT options exist, little is known about the epidemiological and injury-related aspects of this patient population. Here, we report such characteristics to better identify and understand the number and types of tSCI individuals who may benefit from NTs. Materials and Methods: Two peripheral nerve experts independently evaluated all adult tSCI individuals < 80 years old admitted with cervical tSCI (C1-T1) between 2005 and 2019 with documented tSCI severity using the ASIA Impairment Scale for suitability for NT (nerve donor with MRC strength = 4/5 and recipient = 2/5). Demographic, traumatic injury, and neurological injury variables were collected and analyzed. Results: A total of 709 tSCI individuals were identified with 224 (32%) who met the selection criteria for participation based on their tSCI level (C1-T1). Of these, 108 (15% of all tSCIs and 48% of all cervical tSCIs) were deemed to be appropriate NT candidates. Due to recovery, 6 NT candidates initially deem appropriate no longer qualified by their last follow-up. Conversely, 19 individuals not initially considered appropriate then become eligible by their last follow-up. Conclusion: We found that a large proportion of individuals with cervical tSCI could potentially benefit from NTs. To our knowledge, this is the first study to detail the number of tSCI individuals that may qualify for NT from a large prospective database.

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