Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study
Neurological Sciences, ISSN: 1590-3478, Vol: 44, Issue: 3, Page: 1009-1016
2023
- 4Citations
- 21Captures
- 1Mentions
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- Citations4
- Citation Indexes4
- Captures21
- Readers21
- 21
- Mentions1
- News Mentions1
- News1
Most Recent News
Memory, Fluency Most Impaired Cognitive Domains in Patients With MS
Assessment of cognitive function in patients with multiple sclerosis (MS) revealed the lowest scores to be in memory and verbal fluency compared with healthy control
Article Description
Introduction: Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R). Material and methods: This case–control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales. Results: The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing–remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (p = 0.020), memory (p = 0.003), verbal fluency (p = 0.002), language (p = 0.002), visuospatial (p = 0.001), and general cognitive functioning (p < 0.001), were found to be lower in PwMS. The patients obtained the lowest scores in memory and fluency and the highest in the visuospatial domain. Age, education, mobility, subjective cognitive dysfunction, anxiety, depression, and fatigue were associated with cognitive test scores. However, only education, depression, and fatigue remained significant in the multivariable analysis. Conclusion: This study revealed impaired domains of cognitive functioning and its predictors in PwMS. Understanding cognitive dysfunction and its predictors in PwMS may enable healthcare providers to identify patients who might benefit from interventions to improve cognitive function. Assessment of PwMS at outpatient clinics with a practical cognitive test that does not require special competence can be suggested.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85142895971&origin=inward; http://dx.doi.org/10.1007/s10072-022-06524-8; http://www.ncbi.nlm.nih.gov/pubmed/36443543; https://link.springer.com/10.1007/s10072-022-06524-8; https://dx.doi.org/10.1007/s10072-022-06524-8; https://link.springer.com/article/10.1007/s10072-022-06524-8
Springer Science and Business Media LLC
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