Socioeconomic impact of depression and pain in patients with neuromyelitis optica spectrum disorders

Autor/innen

  • Daria Tkachenko
  • Ilya Ayzenberg
  • Louisa M. Schöppe
  • Rasmus Schülke
  • Friedemann Paul
  • Ankelien Duchow
  • Judith Bellmann-Strobl
  • Nadja Siebert
  • Tania Kümpfel
  • Joachim Havla
  • Hannah Pellkofer
  • Sven Jarius
  • Brigitte Wildemann
  • Achim Berthele
  • Luisa Klotz
  • Marc Pawlitzki
  • Stefan Gingele
  • Olivia Schreiber-Katz
  • Martin S. Weber
  • Makbule Senel
  • Jan-Patrick Stellmann
  • Vivien Häußler
  • Orhan Aktas
  • Marius Ringelstein
  • Kerstin Hellwig
  • Carolin Schwake
  • Ingo Kleiter
  • Corinna Trebst
  • Martin W. Hümmert

Journal

  • Neurological Research and Practice

Quellenangabe

  • Neurol Res Pract 8 (1): 36

Zusammenfassung

  • BACKGROUND: Neuromyelitis optica spectrum disorders (NMOSD) are associated with a high burden of depression, pain, and physical disability, all of which significantly impair quality of life. At the same time, discussions on the cost-effectiveness of treatment strategies are gaining importance. However, it is not yet known whether specific symptom burdens are particularly cost-driving. This study aims to provide a comprehensive cost analysis considering depression and pain to optimise future healthcare strategies. METHODS: This prospective cross-sectional multicentre study was conducted at twelve centres of the Neuromyelitis Optica Study Group (NEMOS). Over a three-year period, 115 NMOSD patients were recruited. Disease-related costs, pain, and depression were assessed using standardised questionnaires. A generalised linear model analysis and graphical sub-cost analysis were performed to identify key cost drivers. The robustness of our findings was confirmed using two independent depression rating scales. RESULTS: In our sample of 115 patients, 77% suffered from chronic pain with a median pain intensity of 4.0 on the numeric rating scale (NRS). Moreover, 56% of patients reported depressive symptoms. In multivariate regression analysis, depression emerged as a significant predictor of total costs (p < 0.001) alongside the EDSS score (p < 0.001) and age (p = 0.004). In contrast, pain was not significantly influencing total costs (p = 0.057), despite being reported by the majority of patients. Graphical analyses highlighted informal costs as the main cost driver in patients with increasing depressive symptoms. CONCLUSIONS: Depressive symptoms are not only common in NMOSD patients but also represent a major cost driver alongside neurological disability. Addressing these symptoms is essential for optimal patient care and may help reduce the socioeconomic burden.


DOI

doi:10.1186/s42466-026-00486-4