Related Experiment Video
Updated: Feb 1, 2026

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
Published on: December 26, 2015
Fatigue at enrollment predicts EDSS worsening in the New York State Multiple Sclerosis Consortium
Caila B Vaughn1, Katelyn S Kavak2, Michael G Dwyer3
1New York State Multiple Sclerosis Consortium, Buffalo, NY, USA/Jacobs MS Center for Treatment and Research, Buffalo, NY, USA/ Department of Neurology, University at Buffalo, Buffalo, NY, USA.
Background:
Fatigue is one of the most common and distressing symptoms among persons with multiple sclerosis (pwMS).
Objective:
The aim of this study is to evaluate fatigue as a predictor for disease worsening among pwMS.
Methods:
In this retrospective cohort study of New York State MS Consortium (NYSMSC) registry, MS patients reporting moderate-to-severe fatigue at study enrollment (n = 2714) were frequency matched to less-fatigued subjects (n = 2714) on age, baseline Kurtzke Expanded Disability Status Scale (EDSS), disease duration, and MS phenotype. Change from baseline patient-reported outcomes (PROs), as measured by LIFEware™, categorized participants into two groups: those with stable/improved outcomes and those who worsened. In a subgroup of patients with longitudinal data (n = 1951), sustained EDSS worsening was analyzed using Cox proportional hazards modeling to explore the effect of fatigue.
Results:
The median survival time from study enrollment to sustained EDSS worsening was 8.7 years (CI: 7.2-10.1). Participants who reported fatigue at baseline were more likely to experience sustained EDSS worsening during follow-up (HR: 1.4, 95% CI: 1.2-1.7). Patients who were fatigued at baseline were also more likely to report worsening psychosocial limitations (all ps ⩽ 0.01).
Conclusion:
In addition to being a common symptom of MS, severe fatigue was a significant predictor for EDSS worsening in the NYSMSC.
Related Concept Videos
Fatigue
Predicting Molecular Geometry
Muscle Recovery and Fatigue
Fatigue Strength of Concrete
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Multiple Allele Traits

