OBJECTIVE: To compare the ability of different @entity841 ( @entity841 ) to monitor and predict the disease course in @entity15 ( @entity15 ). METHODS: Seventy-two @entity1 with @entity15 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) @entity841 . Spearman rank correlation and multivariable linear regression were used to investigate the associations between @entity841 and clinical disability. RESULTS: All @entity841 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- @entity841 , sq- @entity841 and o- @entity841 with 90% certainty would be 50, 129 and 222, respectively. q- @entity841 changeT1-T0 correlated with EDSS changeT4-T0 (rho=0.56, p<0.001), while sq- @entity841 and o- @entity841 changesT1-T0 did not. CONCLUSION: All three @entity841 allow disease course monitoring in @entity15 . However, the quantitative @entity841 detects clinically relevant short-term changes with a smaller sample size than semi-quantitative or ordinal @entity841 . SIGNIFICANCE: These results underscore the potential of @entity841 to characterize @entity15 disease evolution.

Monitoring XXXX by multimodal evoked potentials: Numerically versus ordinally scaled scoring systems.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity841 :: ('MESH:C537245', 'Disease') :: ['EPS', 'evoked potential scores'] @entity15 :: ('MESH:D009103', 'Disease') :: ['MS', 'multiple sclerosis']
@entity15 :: (MESH:D009103,Disease) :: ['multiple sclerosis']
