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

扩大残疾状况量表 萧条(经济学) 生活质量(医疗保健) 医学 多发性硬化 认知 贝克抑郁量表 身体残疾 执行功能障碍 物理疗法 物理医学与康复 临床心理学 精神科 焦虑 神经心理学 宏观经济学 护理部 经济
作者
Catherine Bergmann,Shenira Becker,A. Watts,Cynthia Sullivan,Jeffrey Wilken,Daniel Golan,Myassar Zarif,Barbara Bumstead,Marijean Buhse,Olivia Kaczmarek,Thomas J. Covey,Glen M. Doniger,Iris‐Katharina Penner,Laura M. Hancock,Hans Bogaardt,Marissa A. Barrera,Sara Morrow,Mark Gudesblatt
出处
期刊:Multiple sclerosis and related disorders [Elsevier BV]
卷期号:79: 104966-104966
标识
DOI:10.1016/j.msard.2023.104966
摘要

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.
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