1. Monitoring multiple sclerosis by multimodal evoked potentials: Numerically versus ordinally scaled scoring systems
- Author
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Regina Schlaeger, Peter Fuhr, Christian Schindler, Marcus D’Souza, Ludwig Kappos, Martin Hardmeier, and Leticia Grize
- Subjects
Adult ,Male ,0301 basic medicine ,medicine.medical_specialty ,Multiple Sclerosis ,Audiology ,Severity of Illness Index ,Spearman's rank correlation coefficient ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Evoked Potentials, Somatosensory ,Physiology (medical) ,Severity of illness ,medicine ,Humans ,Evoked potential ,10. No inequality ,Retrospective Studies ,Communication ,Clinically isolated syndrome ,Expanded Disability Status Scale ,Multivariable linear regression ,business.industry ,Multiple sclerosis ,Middle Aged ,Evoked Potentials, Motor ,medicine.disease ,Sensory Systems ,Cross-Sectional Studies ,030104 developmental biology ,Neurology ,Sample size determination ,Disease Progression ,Evoked Potentials, Visual ,Female ,Neurology (clinical) ,business ,Psychology ,030217 neurology & neurosurgery - 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 p0.001) and longitudinally (0.39⩽rho⩽0.47, all p⩽0.004). EPS(T0) and EDSS(T0) together explained 85-86% of EDSS(T4) variance. A posteriori power calculation showed that the sample sizes needed to detect significant changes over 6 months in q-EPS, sq-EPS and o-EPS with 90% certainty would be 50, 129 and 222, respectively. q-EPS change(T1-T0) correlated with EDSS change(T4-T0) (rho=0.56, p0.001), while sq-EPS and o-EPS changes(T1-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.
- Published
- 2016