edoc

Monitoring multiple sclerosis by multimodal evoked potentials : numerically versus ordinally scaled scoring systems

Schlaeger, Regina and Hardmeier, Martin and D'Souza, Marcus and Grize, Leticia and Schindler, Christian and Kappos, Ludwig and Fuhr, Peter. (2016) Monitoring multiple sclerosis by multimodal evoked potentials : numerically versus ordinally scaled scoring systems. Clinical neurophysiology, 127 (3). pp. 1864-1871.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/42326/

Downloads: Statistics Overview

Abstract

To compare the ability of different evoked potential scores (EPS) to monitor and predict the disease course in multiple sclerosis (MS).; Seventy-two patients with MS or clinically isolated syndrome were investigated by visual, motor, and somatosensory EP and expanded disability status scale (EDSS) at baseline (T0) and months 6, 12, 24, 36 (T4). EP results were rated according to ordinal (o), semi-quantitative (sq), and quantitative (q) EPS. Spearman rank correlation and multivariable linear regression were used to investigate the associations between EPS and clinical disability.; All EPS correlated with EDSS cross-sectionally (0.72⩽rho⩽0.87, all p<0.001) and longitudinally (0.39⩽rho⩽0.47, all p⩽0.004). EPST0 and EDSST0 together explained 85-86% of EDSST4 variance. A posteriori power calculation showed that the sample sizes needed to detect significant changes over 6months in q-EPS, sq-EPS and o-EPS with 90% certainty would be 50, 129 and 222, respectively. q-EPS changeT1-T0 correlated with EDSS changeT4-T0 (rho=0.56, p<0.001), while sq-EPS and o-EPS changesT1-T0 did not.; All three EPS allow disease course monitoring in MS. However, the quantitative EPS detects clinically relevant short-term changes with a smaller sample size than semi-quantitative or ordinal EPS.; These results underscore the potential of EPS to characterize MS disease evolution.
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 Frequentist Modelling
UniBasel Contributors:Grize, Leticia and Schindler, Christian
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1388-2457
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:30 Jun 2016 11:03
Deposited On:03 May 2016 12:43

Repository Staff Only: item control page