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Updated: Jan 30, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Predicting clinical progression in multiple sclerosis after 6 and 12 years
I Dekker1,2, A J C Eijlers3, V Popescu1
1Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Early clinical and imaging markers can predict long-term disability and cognitive decline in multiple sclerosis (MS). Progressive disease onset and early neurodegeneration indicate higher risk for disability and cognitive dysfunction in MS patients.
Area of Science:
- Neurology
- Neuroimaging
- Clinical Prediction
Background:
- Multiple sclerosis (MS) is a chronic neurological disease characterized by progressive disability and cognitive impairment.
- Predicting the long-term course of MS is crucial for patient management and therapeutic development.
Purpose of the Study:
- To identify early clinical and imaging predictors of disability and cognitive function in multiple sclerosis (MS) patients.
- To assess the predictive value of baseline and 2-year measures for outcomes at 6 and 12 years.
Main Methods:
- A cohort of 115 MS patients was followed for up to 12 years.
- Disability was assessed using the Expanded Disability Status Scale (EDSS); cognition was evaluated via neuropsychological testing.
- Predictors included EDSS scores, brain/lesion volumes, and demographic factors.
Main Results:
- Early EDSS scores and whole-brain volume changes predicted 6-year disability (R²=0.56).
- Primary progressive MS, lower education, male sex, and early brain atrophy predicted 6-year cognition (R²=0.26).
- Higher T1-hypointense lesion volumes predicted 12-year disability and cognition.
Conclusions:
- Early neurodegeneration and progressive onset are associated with increased disability and cognitive decline in MS.
- Male sex and lower education specifically impact cognitive dysfunction, suggesting a need for advanced imaging in prediction.
- Early identification of at-risk patients can guide personalized MS management strategies.
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