Literature DB >> 24507526

Early prognosis of multiple sclerosis.

Josephine Swanton1, Kryshani Fernando2, David Miller2.   

Abstract

Establishing the prognosis for multiple sclerosis (MS) early in the disease course is critically important for patients who develop this disease. Potentially, this information could be used to guide the selection of which disease modifying therapy (if any) should be started in which individual and to determine, over course of the illness, when the therapeutic approach needs to be modified. Regardless, of its importance, however, we only have a limited ability to predict how an individual's illness will evolve. For several decades, we have known about certain clinical features of MS that seem to associated with a more benign course (e.g., female gender, clinical onset before the age of 40 years, few early relapses, slow early accumulation of fixed deficits, and the initial involvement of only sensory systems). Nevertheless, the prognostic value of these clinical features offer only limited help to individual patients in making their different (and difficult) life-choices. For this reason, there have been numerous attempts to develop paraclinical tests, which can augment (and improve upon) this clinical prognostic information. These approaches have included the use of magnetic resonance imaging (MRI) measures such as gadolinium enhancement, new T2 lesions, the volume of T2 lesion burden, brain atrophy (either whole brain or separately for grey and white matter), spinal cord atrophy, cortical connectivity, and determining the characteristics and chemical composition of the normal appearing white matter. They have also included investigations of the use of immunological markers for establishing prognosis. Nevertheless, this field is still only in its infancy and our ability to predict accurately the outlook for an individual remains limited at best. This chapter reviews the current evidence, taken from both clinical and paraclinical sources, as it relates to establishing this prognosis and provides insight to where, in the future, we need to look.
© 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CSF; IgG index; MRI; atrophy; cerebrospinal fluid; clinical features; diffusion weighted; functional imaging; immunological markers; inflammation; magnetic resonance imaging; magnetization transfer imaging; oligoclonal bands; spectroscopy

Mesh:

Substances:

Year:  2014        PMID: 24507526     DOI: 10.1016/B978-0-444-52001-2.00015-7

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  4 in total

Review 1.  [Prognostic and predictively relevant factors for multiple sclerosis].

Authors:  B Tackenberg; T Schneider-Hohendorf; A Müller; J Schodrowski; H Wiendl
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

2.  Galectin-8 as an immunosuppressor in experimental autoimmune encephalomyelitis and a target of human early prognostic antibodies in multiple sclerosis.

Authors:  Evelyn Pardo; Claudia Cárcamo; Reinaldo Uribe-San Martín; Ethel Ciampi; Fabián Segovia-Miranda; Cristobal Curkovic-Peña; Fabián Montecino; Christopher Holmes; Juan Enrique Tichauer; Eric Acuña; Francisco Osorio-Barrios; Marjorie Castro; Priscilla Cortes; Claudia Oyanadel; David M Valenzuela; Rodrigo Pacheco; Rodrigo Naves; Andrea Soza; Alfonso González
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

3.  Efficacy of Cladribine Tablets in high disease activity subgroups of patients with relapsing multiple sclerosis: A post hoc analysis of the CLARITY study.

Authors:  Gavin Giovannoni; Per Soelberg Sorensen; Stuart Cook; Kottil W Rammohan; Peter Rieckmann; Giancarlo Comi; Fernando Dangond; Christine Hicking; Patrick Vermersch
Journal:  Mult Scler       Date:  2018-05-02       Impact factor: 6.312

Review 4.  Predictive MRI Biomarkers in MS-A Critical Review.

Authors:  Vlad Eugen Tiu; Iulian Enache; Cristina Aura Panea; Cristina Tiu; Bogdan Ovidiu Popescu
Journal:  Medicina (Kaunas)       Date:  2022-03-03       Impact factor: 2.430

  4 in total

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