Individualized Prediction of Upper Limb Strength Recovery After Cervical Spinal Cord Injury: Development and...

Area of Science:

• Neurology
• Rehabilitation Medicine
• Biostatistics

Background:

• Accurate prediction of upper limb strength recovery after cervical spinal cord injury (SCI) is crucial for optimizing rehabilitation and research.
• Currently, no validated, individualized prognostic models exist for this purpose.

Purpose of the Study:

• To develop and validate individualized prognostic models for predicting Upper Extremity Motor Score (UEMS) recovery following cervical SCI.

Main Methods:

• Developed and internally validated prognostic models using data from 423 patients in the European Multicenter Study about Spinal Cord Injury (EMSCI).
• Predictors included UEMS at week 1/4 and American Spinal Injury Association Impairment Scale (AIS) category.
• Externally validated the 12-week model on a North American cohort of 365 patients.

Main Results:

• Internal validation demonstrated stable predictions, good calibration, and low prediction errors.
• External validation showed good overall fit (R² = .81) and calibration (slope = 1.01).
• A minor underestimation of UEMS was noted for lower predicted values.

Conclusions:

• Simple, individualized prognostic models using AIS category and early UEMS enable accurate prediction of upper limb strength recovery post-cervical SCI.
• These models enhance understanding of motor recovery patterns and prognosis.
• Further validation could support early clinical decision-making, patient counseling, and clinical trial eligibility.