Model-Based Prediction of Motor Scores From Sensory Scores in the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI): Implications on Motor Levels in Segments Without Clinically Testable Key Muscles.
In the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), motor levels are inferred from sensory levels for high cervical, thoracic, and low sacral injuries, as key muscles are only assessed in upper and lower extremities. This is known as the "motor follows sen...
| Publicado en: | Topics in Spinal Cord Injury Rehabilitation Vol. 31; no. 3; pp. 129 - 140 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
KnowledgeWorks Global, Ltd
Summer2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187499931&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187499931 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10820744 0OF jtl: Topics in Spinal Cord Injury Rehabilitation issn: 10820744 maglogo: N pubinfo: dt: Summer2025 vid: 31 iid: 3 pid: 81084 pub: KnowledgeWorks Global, Ltd place: Richmond, Virginia artinfo: ui: 187499931 187499931 187499931 10.46292/sci25-00012 187499931 ppf: 129 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Model-Based Prediction of Motor Scores From Sensory Scores in the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI): Implications on Motor Levels in Segments Without Clinically Testable Key Muscles. aug: au: Schuld, Christian Gavrilova, Viktoria Heutehaus, Laura Maier, Doris Abel, Rainer Weidner, Norbert Rupp, Ruediger Franz, Steffen affil: Spinal Cord Injury Center, Heidelberg University Hospital, Heidelberg, Germany sug: subj: Prediction Models Motor Activity Sensory Motor Integration Neurologic Examination Standards Spinal Cord Injuries Classification Muscles Human Regression Multimethod Studies Multiple Linear Regression Random Forest Comparative Studies Machine Learning Linear Regression ab: In the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), motor levels are inferred from sensory levels for high cervical, thoracic, and low sacral injuries, as key muscles are only assessed in upper and lower extremities. This is known as the "motor follows sensory level" rule. To develop regression models for estimating motor scores from sensory scores in segments without clinically testable key muscles and to validate the consensus-based "motor follows sensory level" approach. A total of 6940 ISNCSCI examinations from the European Multicenter Study about Spinal Cord Injury were reviewed. Multiple linear and random forest regression models were trained on scores in clinically testable segments to predict motor from sensory scores of the same spinal segment and side. Models based on ipsilateral light touch or pinprick scores alone, as well as all bilateral sensory scores, were also evaluated. Predicted motor scores were used to recalculate motor levels for the segments without clinically testable key muscles and compared to the true motor levels. The ipsilateral regression models showed minimal differences (R2 0.64-0.65; RMSE 1.34). Normal motor scores were predicted only for normal sensory function; in the linear model, this was captured by the equation: motor score = 0.18 + 1.22 * light touch score + 0.96 * pinprick score. Model-based motor levels were shifted caudally 0.18 segments (linear regression) and 0.32 segments (random forest regression). As models predict normal motor function only for normal sensory scores, predicted motor levels deviate only marginally, supporting the "motor follows sensory level" rule. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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