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Related Concept Videos

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...

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A Physician-Completed Digital Tool for Evaluating Disease Progression (Multiple Sclerosis Progression Discussion

Tjalf Ziemssen1, Daniela Piani-Meier2, Bryan Bennett3

  • 1Center of Clinical Neuroscience, Neurological University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany.

Journal of Medical Internet Research
|February 13, 2020
PubMed
Summary

The MSProDiscuss tool effectively differentiates relapsing-remitting multiple sclerosis (RRMS) from secondary progressive multiple sclerosis (SPMS) with high accuracy. This digital tool aids in identifying early disease progression and facilitates physician-patient discussions for better MS management.

Keywords:
digitalmultiple sclerosisprogressionrelapsing-remitting multiple sclerosissecondary progressive multiple sclerosistransitionvalidation

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Area of Science:

  • Neurology
  • Digital Health Tools
  • Multiple Sclerosis (MS) Research

Background:

  • Distinguishing between relapsing-remitting multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS) is clinically challenging, often leading to delayed diagnosis of disease progression.
  • A novel digital tool, MSProDiscuss, was developed to assist healthcare professionals in evaluating subtle indicators of MS progression that signify the transition from RRMS to SPMS.

Purpose of the Study:

  • To establish cut-off values for scoring algorithms, with and without the Expanded Disability Status Scale (EDSS), to accurately differentiate between RRMS and SPMS.
  • To assess the sensitivity, specificity, and psychometric properties of the MSProDiscuss tool in classifying MS disease phenotypes.

Main Methods:

  • Twenty neurologists utilized the MSProDiscuss tool for 198 patients diagnosed with RRMS, SPMS, or suspected transition to SPMS.
  • Patient data included age, EDSS scores, and current disease status (activity, symptoms, daily life impacts).
  • Receiver operating characteristic (ROC) curves were employed to determine optimal cut-off values for classification.

Main Results:

  • The MSProDiscuss tool demonstrated significant differences in mean scores across RRMS, transitioning, and SPMS patient groups (P<.001).
  • Area Under the Curve (AUC) values for differentiating RRMS and SPMS were high, both with (0.91) and without (0.88 for RRMS, 0.86 for SPMS) EDSS inclusion.
  • Optimal cut-off values yielded high sensitivity and specificity (e.g., RRMS: ≤51.6, sensitivity=0.83, specificity=0.82 with EDSS; SPMS: ≥58.9, sensitivity=0.82, specificity=0.84 with EDSS).
  • The tool exhibited excellent interrater reliability (intraclass correlation coefficient=.95).

Conclusions:

  • The MSProDiscuss tool accurately distinguishes between RRMS and SPMS patients, offering high sensitivity and specificity.
  • This digital instrument is valuable for clinical practice in identifying early signs of MS progression and the RRMS to SPMS transition.
  • MSProDiscuss facilitates objective assessment of disease progression and enhances informed physician-patient communication regarding multiple sclerosis management.