Clinical characteristics associated with multiple sclerosis fatigue severity.

Area of Science:

• Neurology
• Clinical Research
• Medical Science

Background:

• Fatigue is a common and disabling symptom in multiple sclerosis (MS).
• Previous studies identified several clinical factors predicting fatigue severity, but their simultaneous influence and control for confounders were not fully evaluated.
• Key factors include Expanded Disability Status Scale (EDSS) score, disease subtype, age, polysymptomatic onset, and depression.

Purpose of the Study:

• To assess which established MS fatigue risk factors impact fatigue severity concurrently.
• To adjust for MS severity, obstructive sleep apnea (OSA), and stimulant use in the analysis.
• To validate findings using two distinct fatigue scales: Modified Fatigue Impact Scale (MFIS) and Fatigue Severity Scale (FSS).

Main Methods:

• Multivariable linear regression analysis was employed.
• Examined relationships between MS clinical data and fatigue measures (MFIS, FSS).
• Controlled for potential confounders including OSA and stimulant use.

Main Results:

• Polysymptomatic onset was significantly associated with increased fatigue severity (MFIS β = 9.22, p = 0.027; FSS β = 5.90, p = 0.032).
• Comorbid depression strongly predicted higher fatigue severity (MFIS β = 22.01, p < 0.001; FSS β = 13.51, p = 0.003).
• Higher Expanded Disability Status Scale (EDSS) scores correlated with greater fatigue (MFIS β = 2.32, p = 0.028).

Conclusions:

• Polysymptomatic onset, depression, and higher EDSS scores are independent predictors of MS fatigue.
• These factors remain significant even after adjusting for other MS severity factors and confounders.
• Patients with these characteristics, particularly those exhibiting all three, warrant proactive fatigue screening and symptomatic treatment.