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Journal Article

Citation

Rupp R, Schuld C, Biering-Sørensen F, Walden K, Rodriguez G, Kirshblum S. Spinal Cord 2021; ePub(ePub): ePub.

Copyright

(Copyright © 2021, International Spinal Cord Society, Publisher Nature Publishing Group)

DOI

10.1038/s41393-021-00646-0

PMID

unavailable

Abstract

STUDY DESIGN: Committee consensus process including additional structured feedback from spinal cord injury (SCI) experts attending a focus group workshop.

OBJECTIVES: To define a taxonomy for standardized documentation of non-SCI-related conditions in the International Standards for Neurological Classification of SCI (ISNCSCI). SETTING: Americal Spinal Injury Association (ASIA) International Standards Committee with 16 international ISNCSCI experts.

METHODS: With the new taxonomy, not-normal sensory or motor scores should be tagged with an asterisk ("*"), if they are impacted by a non-SCI condition such as burns, casts, joint contractures, peripheral nerve injuries, amputations, pain, or generalized weakness. The non-SCI condition and instructions on how to handle the "*"-tagged scores during classification should be detailed in the comments box. While sum scores are always calculated based on examined scores, classification variables such as the neurological level of injury (NLI) or the ASIA Impairment Scale (AIS) grades are tagged with an "*", when they have been determined on the basis of clinical assumptions.

RESULTS: With the extended "*"-tag concept, sensory and motor examination results impacted by non-SCI conditions above, at, or below the NLI can be consistently documented, scored, and classified. Feedback from workshop participants confirms agreement on its clinical relevance, logic and soundness, easiness of understanding, communicability, and applicability in daily work.

CONCLUSIONS: After multiple internal revisions, a taxonomy for structured documentation of conditions superimposed on the impairments caused by the SCI together with guidelines for consistent scoring and classification was released with the 2019 ISNCSCI revision. This taxonomy is intended to increase the accuracy of ISNCSCI classifications.


Language: en

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