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Article

A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis

1
icometrix, 3012 Leuven, Belgium
2
AI Supported Modelling in Clinical Sciences (AIMS), Vrije Universiteit Brussel, 1050 Brussels, Belgium
3
Department of Engineering, University of Oxford, Oxford OX1 3PJ, UK
*
Author to whom correspondence should be addressed.
The authors contributed equally to the manuscript.
Academic Editors: Tjalf Ziemssen and Rocco Haase
Brain Sci. 2021, 11(9), 1171; https://doi.org/10.3390/brainsci11091171
Received: 31 July 2021 / Revised: 30 August 2021 / Accepted: 1 September 2021 / Published: 3 September 2021
(This article belongs to the Special Issue Digital Innovation in Multiple Sclerosis Management)
In multiple sclerosis (MS), the early detection of disease activity or progression is key to inform treatment changes and could be supported by digital tools. We present a novel CE-marked and FDA-cleared digital care management platform consisting of (1) a patient phone/web application and healthcare professional portal (icompanion) including validated symptom, disability, cognition, and fatigue patient-reported outcomes; and (2) clinical brain magnetic resonance imaging (MRI) quantifications (icobrain ms). We validate both tools using their ability to detect (sub)clinical disease activity (known-groups validity) and real-world data insights. Surveys showed that 95.6% of people with MS (PwMS) were interested in using an MS app, and 98.2% were interested in knowing about MRI changes. The icompanion measures of disability (p < 0.001) and symptoms (p = 0.005) and icobrain ms MRI parameters were sensitive to (sub)clinical differences between MS subtypes. icobrain ms also decreased intra- and inter-rater lesion count variability and increased sensitivity for detecting disease activity/progression from 24% to 76% compared to standard radiological reading. This evidence shows PwMS’ interest, the digital care platform’s potential to improve the detection of (sub)clinical disease activity and care management, and the feasibility of linking different digital tools into one overarching MS care pathway. View Full-Text
Keywords: multiple sclerosis; icompanion; icobrain; eHealth; digital health technology; mobile application; patient reported outcomes; magnetic resonance imaging multiple sclerosis; icompanion; icobrain; eHealth; digital health technology; mobile application; patient reported outcomes; magnetic resonance imaging
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MDPI and ACS Style

Van Hecke, W.; Costers, L.; Descamps, A.; Ribbens, A.; Nagels, G.; Smeets, D.; Sima, D.M. A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis. Brain Sci. 2021, 11, 1171. https://doi.org/10.3390/brainsci11091171

AMA Style

Van Hecke W, Costers L, Descamps A, Ribbens A, Nagels G, Smeets D, Sima DM. A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis. Brain Sciences. 2021; 11(9):1171. https://doi.org/10.3390/brainsci11091171

Chicago/Turabian Style

Van Hecke, Wim, Lars Costers, Annabel Descamps, Annemie Ribbens, Guy Nagels, Dirk Smeets, and Diana M. Sima. 2021. "A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis" Brain Sciences 11, no. 9: 1171. https://doi.org/10.3390/brainsci11091171

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