Design and Validation of an Expanded Disability Status Scale Model in Multiple Sclerosis

Area of Science:

• Neuroscience
• Ophthalmology
• Radiology

Background:

• Multiple sclerosis (MS) is a chronic neurological disease characterized by progressive disability.
• The Expanded Disability Status Scale (EDSS) is a primary measure of MS disability.
• Identifying reliable predictors of MS progression is crucial for patient management.

Purpose of the Study:

• To develop and validate a predictive model for MS disability using clinical, optical coherence tomography (OCT), and magnetic resonance imaging (MRI) measures.
• To investigate the correlation between EDSS scores and specific OCT and MRI parameters.

Main Methods:

• Sixty-four MS patients underwent OCT for retinal layer evaluation and MRI for brain and spinal cord volume assessment.
• EDSS, neuroradiological, and OCT assessments were performed within a 3-month period.
• Ordinal and dichotomous regression models were employed to analyze the relationships between EDSS and various clinical/imaging parameters.

Main Results:

• EDSS scores significantly correlated with patient age (r=0.543), spinal cord (SC) volume (r=-0.301), and ganglion cell layer (GCL) thickness (r=-0.354).
• An ordinal regression model explained 43.3% of the variance in EDSS scores.
• In a dichotomous model (EDSS cutoff 4.0), GCL emerged as a significant disability predictor alongside age and SC volume.

Conclusions:

• MS disability, as measured by EDSS, is significantly influenced by age, SC volume, and GCL thickness.
• These findings highlight the potential of OCT and MRI parameters as objective biomarkers for MS disability assessment.
• Further research into paraclinical predictors is warranted to refine MS progression monitoring.