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Updated: Mar 28, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Advances in and Algorithms for the Treatment of Relapsing-Remitting Multiple Sclerosis
Jens Ingwersen1, Orhan Aktas1, Hans-Peter Hartung2
1Department of Neurology, Medical Faculty, University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Abstract:
Treatment options in relapsing-remitting multiple sclerosis have increased considerably in recent years; currently, a dozen different preparations of disease-modifying therapies are available and some more are expected to be marketed soon. For the treating neurologist this broad therapeutic repertoire not only greatly improves individualized management of the disease, but also makes choices more complex and difficult. A number of factors must be considered, including disease activity and severity, safety profile, and patient preference. We here discuss the currently existing options and suggest treatment algorithms for managing relapsing-remitting multiple sclerosis.

