From checkboxes to emojis: a novel approach to patient-reported outcomes in multiple sclerosis

Nur Neyal1,2, Katelynn J Krey3, Holly A Morrison4

  • 1Department of Radiology, Mayo Clinic, 200 1 st St SW, Rochester, MN, 55905, USA.

PubMed
Abstract

Insights

The Mayo Clinic Electronic Emoji Based Neurological Impairment Status (MEBNIS) effectively correlates with established measures of multiple sclerosis (MS) severity. This novel visual tool offers a quick and accessible way to assess MS impairment in clinical practice and trials.

Area of Science:

  • Neurology
  • Medical Informatics

Background:

  • Patient-reported outcome measures (PROMs) are crucial for managing multiple sclerosis (MS) by incorporating patient perspectives.
  • The Mayo Clinic Electronic Emoji Based Neurological Impairment Status (MEBNIS) is a novel, emoji-based PROM assessing Memory, Mood, Fatigue-Sleepiness, and Ambulation.

Purpose of the Study:

  • To evaluate the correlations between the MEBNIS tool and various established metrics of MS disease severity.
  • Investigate associations with patient-reported, examination-based, performance-based, and radiological measures.

Main Methods:

  • 195 persons with MS (pwMS) prospectively completed MEBNIS alongside established scales: EDSS, MSFC, BDI, FQ, and ESS.
  • Cognitive, functional, and mood assessments were performed, along with brain MRI.
  • Correlations were analyzed using Spearman's rank correlation coefficients.

Main Results:

  • MEBNIS domains showed significant correlations with multiple established MS severity metrics (p≤0.001).
  • AmbulationMEBNIS strongly correlated with EDSS (rho=0.69) and 25FWT (rho=0.66).
  • MEBNIS domains also correlated with brain imaging metrics, including cortical gray matter and thalamus volumes.

Conclusions:

  • MEBNIS demonstrates significant correlations with established clinical, functional, and radiological MS severity indicators.
  • This visual PROM provides a rapid, intuitive, and accessible multi-domain assessment for MS.
  • MEBNIS is a promising digital tool for both clinical practice and clinical trials in MS management.