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Combined visual and motor evoked potentials predict multiple sclerosis disability after 20 years

Schlaeger, Regina and Schindler, Christian and Grize, Leticia and Dellas, Sophie and Radue, Ernst W. and Kappos, Ludwig and Fuhr, Peter. (2014) Combined visual and motor evoked potentials predict multiple sclerosis disability after 20 years. Multiple Sclerosis Journal, 20 (10). pp. 1348-1354.

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Official URL: http://edoc.unibas.ch/dok/A6298955

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Abstract

The development of predictors of multiple sclerosis (MS) disability is difficult due to the complex interplay of pathophysiological and adaptive processes.; The purpose of this study was to investigate whether combined evoked potential (EP)-measures allow prediction of MS disability after 20 years.; We examined 28 patients with clinically definite MS according to Poser's criteria with Expanded Disability Status Scale (EDSS) scores, combined visual and motor EPs at entry (T0), 6 (T1), 12 (T2) and 24 (T3) months, and a cranial magnetic resonance imaging (MRI) scan at T0 and T2. EDSS testing was repeated at year 14 (T4) and year 20 (T5). Spearman rank correlation was used. We performed a multivariable regression analysis to examine predictive relationships of the sum of z-transformed EP latencies (s-EPT0) and other baseline variables with EDSST5.; We found that s-EPT0 correlated with EDSST5 (rho=0.72, p>0.0001) and ΔEDSST5-T0 (rho=0.50, p=0.006). Backward selection resulted in the prediction model: E (EDSST5)=3.91-2.22×therapy+0.079×age+0.057×s-EPT0 (Model 1, R (2)=0.58) with therapy as binary variable (1=any disease-modifying therapy between T3 and T5, 0=no therapy). Neither EDSST0 nor T2-lesion or gadolinium (Gd)-enhancing lesion quantities at T0 improved prediction of EDSST5. The area under the receiver operating characteristic (ROC) curve was 0.89 for model 1.; These results further support a role for combined EP-measures as predictors of long-term disability in MS.
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 13:41
Deposited On:07 Nov 2014 08:28

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