Multidisciplinary data infrastructures in multiple sclerosis: Why they are needed and can be done!

Liesbet M. Peeters, Caspar E. P. van Munster, Bart van Wijmeersch, Robin Bruyndonckx, Ilse Lamers, Niels Hellings, Veronica Popescu, Christoph Thalheim, Peter Feys

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)


Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient’s fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.
Original languageEnglish
Pages (from-to)500-509
Issue number4
Early online date2018
Publication statusPublished - 1 Apr 2019

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