Multiple sclerosis and quality of life: The role of cognitive impairment on quality of life in people with multiple sclerosis.

Bergmann, Catherine; Becker, Shenira; Watts, Adreanna; Sullivan, Cynthia; Wilken, Jeffrey; Golan, Daniel; Zarif, Myassar; Bumstead, Barbara; Buhse, MariJean; Kaczmarek, Olivia; Covey, Thomas J; Doniger, Glen M; Penner, Iris-Katharina; Hancock, Laura M; Bogaardt, Hans; Barrera, Marissa A; Morrow, Sara; Gudesblatt, Mark (2023). Multiple sclerosis and quality of life: The role of cognitive impairment on quality of life in people with multiple sclerosis. Multiple sclerosis and related disorders, 79, p. 104966. Elsevier 10.1016/j.msard.2023.104966

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BACKGROUND

Multiple Sclerosis (MS), a chronic disease of the central nervous system (CNS), affects functional ability and quality of life (QoL). Depression, fatigue, and disability status are among the many factors that have been shown to impact QoL in people with MS, but the extent to which MS-related cognitive impairment is related to QoL is understudied in the literature.

OBJECTIVE

The purpose of this study was to determine relevant predictors of QoL from a wide list of symptoms including physical disability, and a multi-dimensional computerized cognitive assessment battery (CAB), depression, fatigue, and demographic variables (including employment status). In addition, the unique predictive power of cognitive impairment on QoL was explored in relation to other common factors of disease impact.

METHODS

171 people with MS (PwMS) were evaluated with a computerized assessment battery (CAB), EDSS examination, and validated Patient Reported Outcome (PRO) measures (Multiple Sclerosis Impact Scale, MSIS-29; Beck Depression Inventory - Second Edition BDI-2; and the Modified Fatigue Impact Scale, MFIS).

RESULTS

171 PwMS were included [Age: 46.02 years ± 9.85, 124 (72.5%) female]. Depression and fatigue scores were highly correlated with MSIS-29. EDSS, unemployment, memory, executive functioning, and motor skills were moderately correlated with MSIS-29. Predictors of QoL were EDSS, depression, fatigue, executive functioning, and attention. Attention and executive functioning were predictive of QoL even after controlling for demographic variables, fatigue, depression, and physical disability status.

CONCLUSION

Findings indicate the need for comprehensive and quantified evaluation of all factors associated with disease burden, which will ultimately serve to improve the QoL in PwMS through more targeted and patient-centered care.

Interest & Impact

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5 Citations in Web of Science ®
6 Citations in Scopus

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