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Electrophysiological markers and predictors of the disease course in primary progressive multiple sclerosis

Schlaeger, Regina and D'Souza, Marcus and Schindler, Christian and Grize, Leticia and Kappos, Ludwig and Fuhr, Peter. (2014) Electrophysiological markers and predictors of the disease course in primary progressive multiple sclerosis. Multiple Sclerosis Journal, 20 (1). pp. 51-56.

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Official URL: http://edoc.unibas.ch/dok/A6233668

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Abstract

Currently no valid surrogate marker exists for primary progressive multiple sclerosis (PPMS).; Our aim was to prospectively investigate multimodal evoked potentials (EPs) as markers and predictors of the disease course in PPMS.; Twenty-two PPMS patients were prospectively examined with visual, somatosensory and motor EPs and Expanded Disability Status Scale (EDSS) assessments at baseline (T0) and at six-month intervals over three years. Spearman rank correlation was used to determine the relationship between EP measures and EDSS. The relationship between disease evolution and a numerical score derived from z-transformed EP-latencies (s-EP-Q) and baseline characteristics was further assessed using multivariable linear regression analysis.; s-EP-Q correlated with EDSS score at all points in time in cross-sectional comparison (0.53≤rs ≤0.68; 0.0007≤p≤0.0232) and also longitudinally by trend (rs=0.46, p=0.0740). The s-EP-QT0 correlated with the EDSS score at year 3 (T6) (r s=0.77, p>0.0001). The s-EP-Q changes became statistically significant six months before corresponding changes were seen in the EDSS score. EDSST6 as predicted by EDSST6 = -1.027+0.037* age+0.217* s-EP-QT0 + 0.695* EDSST0 correlated with the observed values (rs=0.92, p>0.0001).; Multimodal EPs correlate well with disability in PPMS, and allow some prediction of the disease course over three years. These findings support a role of EPs as surrogate markers in clinical trials in PPMS.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Biostatistics - Frequency Modelling (Schindler)
UniBasel Contributors:Schindler, Christian and Grize, Leticia
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:SAGE
ISSN:1352-4585
e-ISSN:1477-0970
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:02 Nov 2017 13:40
Deposited On:15 Aug 2014 07:16

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