Clinical and demographic factors affecting disease severity in patients with multiple sclerosis

Somayeh Baghizadeh1, Mohammad Ali Sahraian, Nahid Beladimoghadam

  • 1Neurologist, Bouali Hospital, Qazvin University of Medical Sciences, Qazvin, Iran.

Abstract

Insights

Predicting multiple sclerosis (MS) severity early is challenging. While some clinical factors indicate prognosis, the disease course is the strongest predictor of disability in MS patients.

Area of Science:

  • Neurology
  • Clinical Research

Background:

  • Multiple sclerosis (MS) exhibits highly variable clinical courses and prognoses.
  • Predicting long-term disability is crucial for patient management.

Purpose of the Study:

  • To investigate clinical and demographic factors as indicators of multiple sclerosis severity.
  • Utilize the Multiple Sclerosis Severity Score (MSSS) and a 2006 MS severity classification.

Main Methods:

  • Patients with definite MS were assessed over six months in Tehran, Iran.
  • Expanded Disability Status Scale (EDSS) and disease duration were used to calculate MSSS.
  • Demographic and clinical features were analyzed for association with disease severity.

Main Results:

  • Demographic factors like gender and age at onset were not significantly associated with MS severity.
  • Presenting symptoms such as walking difficulty and poly-symptomatic attacks correlated with increased disability.
  • The strongest determinant of MS severity was the disease course, particularly progressive forms.

Conclusions:

  • Early prediction of MS severity using current demographic and clinical features remains unreliable.
  • Future research should explore combined predictors including biomarkers and imaging findings.

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