The Berlin Treatment Algorithm: recommendations for tailored innovative therapeutic strategies for multiple

Christian Veauthier1, Helge Hasselmann2, Stefan M Gold3

  • 1Interdisciplinary Center for Sleep Medicine, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany ; NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.

The EPMA Journal
|December 2, 2016
PubMed

Insights

Multiple sclerosis (MS) fatigue significantly impacts patients, yet effective treatments are scarce. This review explores individualized strategies, addressing comorbidities and utilizing diagnostic tools for better management of MS-related fatigue.

Area of Science:

  • Neurology
  • Clinical Medicine

Background:

  • Multiple sclerosis (MS) fatigue affects over 80% of patients, representing a major cause of disability and reduced quality of life.
  • Current therapeutic options for MS fatigue are limited, with a lack of evidence-based pharmacological treatments.
  • The underlying mechanisms of MS fatigue are not well understood, hindering the development of objective diagnostic criteria.

Approach:

  • This paper reviews existing treatments for MS-related fatigue, emphasizing the need for individualized therapeutic strategies that consider comorbid conditions.
  • A comprehensive, cost-efficient approach is proposed, involving diagnostic interviews and validated questionnaires (Modified Fatigue Impact Scale, Epworth Sleepiness Scale, Beck Depression Inventory, Pittsburgh Sleep Quality Index) to identify contributing factors.
  • In select cases, polygraphic or polysomnographic investigations may be warranted to further assess underlying causes.

Key Points:

  • Fatigue in MS is a complex symptom, often unspecific and potentially indicative of other health issues like depression, sleep disorders, or medication side effects.
  • Addressing underlying conditions such as sleep disorders and depression is crucial for managing MS fatigue.
  • Pharmacological treatments (alfacalcidol, fampridine), exercise therapy, and cognitive behavioral therapy-based interventions show promise in alleviating MS fatigue.

Conclusions:

  • Developing individualized treatment plans for MS fatigue requires a thorough assessment of contributing factors, including comorbidities and patient-reported outcomes.
  • Further research is needed to elucidate the relationship between MS fatigue, brain atrophy, lesions, cognition, and disease course.
  • Integrating diagnostic assessments with targeted interventions offers a pathway to improve the management of this debilitating symptom in multiple sclerosis patients.