Autonomic symptom burden can predict disease activity in early multiple sclerosis

Abstract

BackgroundWe aimed to evaluate the role of autonomic nervous system (ANS) abnormalities on disease activity (relapses and new MRI lesions) and disease progression in people with clinically isolated syndrome (pwCIS). MethodsOut of 121 consecutive pwCIS, data on disease activity and progression after 2.9 (1.4–4.1) years of follow-up, was available for 94 pwCIS. Baseline characteristics included MRI parameters, Composite Autonomic System Score-31 (COMPASS-31), Composite Autonomic Scoring Scale, and supine and standing levels of epinephrine and norepinephrine. ResultsUnivariable logistic regression analysis revealed three predictors for occurrence of new relapse, COMPASS-31 > 7.32, total number of T2 lesions > 3 and decreasing supine level of epinephrine. The Kaplan–Meier survival analysis showed that patients with COMPASS-31 > 7.32 have statistically significant lower probability that they will be relapse free (p = 0.013). It has also showed that the relative risk reduction for occurrence of new relapse in participants with COMPASS < 7.32 was 46%. The multivariable regression model confirmed that COMPASS-31 > 7.32 and total number of T2 lesions > 3 increase the likelihood and the increasing supine level of epinephrine reduces the likelihood for a relapse. Finally, results of the Cox regression analysis showed, that after controlling for age, sex, total number of T2 lesions > 3 and supine level of epinephrine, the hazard for occurrence of new relapse for participants with COMPASS-31 > 7.32 is 2.7 times that of participants with COMPASS-31 < 7.32. ConclusionThis study provides evidence that ANS is an important contributor to development of disease activity in pwCIS.