A proposal for a patient-oriented five-dimensional approach for surveillance and therapy in multiple sclerosis

  • The former and current multiple sclerosis (MS) classifications are essential for describing different phenotypes and disease dynamics. To establish personalized treatment regimes, further clinical and paraclinical parameters have to be considered such as imaging, cerebrospinal fluid (CSF) findings, past disease-modifying therapies (DMTs), and disease activity under these therapies. In clinical practice, this information is often difficult to overview. Especially, patients with a long course of disease offer an extensive medical history so that comprehending all of the necessary information can be very time consuming.

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Author:Yavor Vasilev YalachkovORCiDGND, Christian FörchORCiDGND, Mathias Wahl, Johannes GehrigORCiDGND
URN:urn:nbn:de:hebis:30:3-457800
DOI:https://doi.org/10.3389/fneur.2017.00313
ISSN:1664-2295
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/28717353
Parent Title (English):Frontiers in neurology
Publisher:Frontiers Research Foundation
Place of publication:Lausanne
Contributor(s):Zsolt Illes
Document Type:Article
Language:English
Year of Completion:2017
Date of first Publication:2017/07/03
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/03/01
Tag:clinical tool; disease-modifying therapy; multiple sclerosis; patient safety; therapy monitoring
Volume:8
Issue:Art. 313
Page Number:4
First Page:1
Last Page:4
Note:
Copyright: © 2017 Yalachkov, Foerch, Wahl and Gehrig. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
HeBIS-PPN:43195710X
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0