The evoked potentials score improves the identification of benign MS without cognitive impairment.

BACKGROUND AND PURPOSE: The presence of cognitive impairments (CI) among Benign MS (BMS) patients has challenged actual BMS criteria. We hypothesized that a low evoked potentials score (EP-score) at first neurological evaluation would help identify BMS patients without CI. METHODS: The EP-score was retrospectively computed in 29 putative BMS patients who were then tested for CI during 2012. The difference in the prevalence of CI between low EP-score patients and the recent literature was assessed using resampling methods. RESULTS: Among 23 low EP-score patients, only 3 (13%) had CI. This percentage was significantly reduced (P-values 0.05-0.005) compared to recent literature (39-46%). CONCLUSION: We conclude that a low EP-score at first neurological evaluation successfully helps to identify BMS patients without CI.

Sensory evoked potentials to predict short-term progression of disability in multiple sclerosis.

To devise a multivariate parametric model for short-term prediction of disability using the Expanded Disability Status Scale (EDSS) and multimodal sensory EP (mEP). A total of 221 multiple sclerosis (MS) patients who underwent repeated mEP and EDSS assessments at variable time intervals over a 20-year period were retrospectively analyzed. Published criteria were used to compute a cumulative score (mEPS) of abnormalities for each of 908 individual tests. Data of a statistically balanced sample of 58 patients were fed to a parametrical regression analysis using time-lagged EDSS and mEPS along with other clinical variables to estimate future EDSS scores at 1 year. Whole sample cross-sectional mEPS were moderately correlated with EDSS, whereas longitudinal mEPS were not. Using the regression model, lagged mEPS and lagged EDSS along with clinical variables provided better future EDSS estimates. The R (2) measure of fit was significant and 72% of EDSS estimates showed an error value of ±0.5. A parametrical regression model combining EDSS and mEPS accurately predicts short-term disability in MS patients and could be used to optimize decisions concerning treatment.

Responsiveness of patient reported outcome measures in multiple sclerosis relapses: the REMS study.

OBJECTIVES: To assess the responsiveness of the three most used patient reported multiple sclerosis (MS) specific questionnaires: the Functional Assessment of MS (FAMS), the MS Impact Scale (MSIS-29) and the 54 item MS Quality of Life (MSQOL-54). DESIGN: Prospective multicentre longitudinal study on 104 MS patients treated with intravenous steroids for clinical exacerbation. METHODS: Patient reported data, Expanded Disability Status Scale (EDSS) score and clinical information were collected at admission and 8 weeks later. "Internal" (distribution based) responsiveness was assessed by standardised response means (SRM). "External" (anchor based) responsiveness was assessed by receiver operating characteristic (ROC) curves in relation to corresponding changes in a pre-specified reference measure (anchor). The pre-specified anchor was patients' self-reported recovery assessed on a 5 point Likert scale. RESULTS: SRM was 0.39 for FAMS, 0.58 for MSIS-29 physical scale, 0.45 for MSIS-29 psychological scale, 0.71 for MSQOL-54 physical health composite and 0.57 for MSQOL-54 mental health composite. Seventy-three patients (70%) reported they had improved; physicians agreed substantially with patient assessments (kappa statistic 0.70, 95% CI 0.54 to 0.85). Areas under ROC curves differed significantly from 0.50 only for the MSIS-29 and MSQOL-54 scales where areas ranged from 0.65 (95% CI 0.53 to 0.76) for the MSIS-29 psychological scale to 0.70 (95% CI 0.58 to 0.81) for the MSQOL-54 mental health composite. Areas under ROC curves assessed using a physician based anchor were similar to the patient based areas. CONCLUSIONS: The responsiveness of the MS specific instruments was less than ideal. The MSIS-29 and MSQOL-54 were significantly more responsive, using both distribution based and anchor based approaches, than FAMS, and should be preferred in longitudinal studies.