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Title: | Using personalized prognosis in the treatment of relapsing multiple sclerosis: A practical guide | Authors: | VAN WIJMEERSCH, Bart Hartung, Hans-Peter Vermersch, Patrick Pugliatti, Maura Pozzilli, Carlo Grigoriadis, Nikolaos Alkhawajah, Mona Airas, Laura Linker, Ralf Oreja-Guevara, Celia |
Issue Date: | 2022 | Publisher: | FRONTIERS MEDIA SA | Source: | Frontiers in Immunology, 13 (Art N° 991291) | Abstract: | The clinical course of multiple sclerosis (MS) is highly variable among patients, thus creating important challenges for the neurologist to appropriately treat and monitor patient progress. Despite some patients having apparently similar symptom severity at MS disease onset, their prognoses may differ greatly. To this end, we believe that a proactive disposition on the part of the neurologist to identify prognostic "red flags" early in the disease course can lead to much better long-term outcomes for the patient in terms of reduced disability and improved quality of life. Here, we present a prognosis tool in the form of a checklist of clinical, imaging and biomarker parameters which, based on consensus in the literature and on our own clinical experiences, we have established to be associated with poorer or improved clinical outcomes. The neurologist is encouraged to use this tool to identify the presence or absence of specific variables in individual patients at disease onset and thereby implement sufficiently effective treatment strategies that appropriately address the likely prognosis for each patient. | Notes: | Van Wijmeersch, B (corresponding author), Univ Multiple Sclerosis Ctr, Hasselt, Belgium.; Van Wijmeersch, B (corresponding author), Noorderhart, Revalidatie & Multiple Sclerosis, Pelt, Belgium.; Van Wijmeersch, B (corresponding author), Hasselt Univ, REVAL & BIOMED, Hasselt, Belgium. bart.vanwijmeersch@uhasselt.be |
Keywords: | multiple sclerosis;prognosis;clinical parameters;magnetic resonance imaging (MRI);biomarkers;treatment;optical coherence tomography;evoked potentials | Document URI: | http://hdl.handle.net/1942/38843 | ISSN: | 1664-3224 | e-ISSN: | 1664-3224 | DOI: | 10.3389/fimmu.2022.991291 | ISI #: | 000874565800001 | Rights: | 2022 Van Wijmeersch, Hartung, Vermersch, Pugliatti, Pozzilli, Grigoriadis, Alkhawajah, Airas, Linker and Oreja-Guevara. This is an openaccess 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) and the copyright owner(s) 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. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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