Multiple Sclerosis

Multiple Sclerosis (MS)

Multiple Sclerosis is a chronic autoimmune and neuromuscular disease where the immune system eats away at the protective covering of nerves resulting in a communication disruption between the brain and the body.

With no cure for MS, early diagnosis and effective treatment are the best ways to help reduce damaging effects and improve patients’ quality of life.

PremiOM MS Dataset Overview

The OM1 MS data network is a continually updating database of MS patients prospectively followed with deep clinical, laboratory and other data.

Tap into the OM1 Real-World Data Cloud™ for modeling, analytics and other research purposes.

*Counts through Q2 2024

24,000+*

Patients with deep clinical data including clinical notes from neurologists

8.2 years

Mean follow-up per patient

99^%

With linked EMR & medical claims

MS Dataset Highlights

Harnessing leading AI and data science techniquesDisability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are infrequently documented in electronic medical records.Our experts developed a machine learning model to estimate EDSS scores on specific encounter dates using clinical notes from neurologist visits. Model performance is assessed using the area under the receiver-operating-characteristic curve (AUC), positive predictive value (PPV), and negative predictive value (NPV), calculated using a binarized version of the outcome. The Spearman R and Pearson R values were then calculated. The model is then applied to encounters without clinician-recorded EDSS scores in the MS Dataset.

The combination of the observed EDSS and eEDSS scores increase the ability to study disease progression including insights into the transition from relapsing-remitting to secondary progressive MS and enables assessment of earlier treatment interventions.

MS Case Studies

| Use Case

Track Disease Progression in MS Through MRI Findings

Challenge

While MRI findings are used extensively as trial endpoints for new MS treatments, access to MRI findings in real-world datasets has been limited.

Solution

OM1 assessed the disease characteristics of people with MS to understand the relationship between MRI lesions (characteristics, activity and change over time), overall disability progression and treatment decisions.

~19,000 MS patients with deep clinical data including notes from neurologist
~16% of MS patients had a MRI finding

| Use Case

Burden of illness – mental health disorders in MS patients

Challenge

Identify the population of MS patients with comorbid mental health conditions.
Understand unmet mental health intervention and psychotherapy needs and impact on disease activity.

Solution

We examined patients with MS and mental health diagnosis, medication or treatment.
Identified patient and disease characteristics associated with depression and anxiety related comorbidities.

~19,000 MS patients
~80% of MS patients had a comorbid mental health condition
Anxiety, depression, and substance abuse disorders were most frequently seen

Webinar: Using RWD to Amplify Disability Scores in MS Patients

www.om1.com/amplify-disability-scores-rwd

Publication: Alves P, Green E, Leavy M, Friedler H, Curhan G, Marci C, Boussios C. Validation of a Machine Learning Approach to Estimate Expanded Disability Status Scale Scores for Multiple Sclerosis. Multiple Sclerosis Journal - Experimental, Translational and Clinical. April 2022. DOI:10.1177/20552173221108635.