Cognitive Impairment Features in Patients With Multiple Sclerosis
https://doi.org/10.35401/2541-9897-2024-9-3-40-46
Abstract
Introduction: Multiple sclerosis (MS) is an inflammatory and demyelinating disease of the central nervous system accompanied by neurodegeneration contributing to cognitive dysfunction. Cognitive impairment occurs in 40%-65% of patients with MS and can manifest even in the early stages of the disease.
Objective: To evaluate cognitive dysfunction features in patients with MS.
Materials and methods: The study included patients with MS (n=30; age, 40.8±9.74 years; disease duration, 9.67±6.96 years; Expanded Disability Status Scale [EDSS] score, 4.76±2.11) and healthy individuals (n=30; age, 40.3±12.24 years). Cognitive impairment was assessed using the Montreal Cognitive Assessment Scale (MoCA) and the Paced Auditory Serial Addition Test (PASAT).
Results: Cognitive impairment in the group of MS patients was found in 73.3% of the cases. The mean MoCA, PASAT-3, and PASAT-2 scores of MS patients were 13.56%, 24.31%, and 29.48% lower than those in the control group, respectively. In women, the cognitive level in MS patients remains higher than in men. Analysis of the PASAT-3 and PASAT-2 results in MS patients did not reveal any statistically significant differences between the groups of patients aged 18-35 years and those aged 36-44 years and the groups of patients aged 18-35 years and those aged 45-59 years. The results of the MoCA and hearing tests in patients with higher and secondary education were not statistically significant. We found an inverse relationship between EDSS and PASAT-2 (R= −0.49; P< .05), EDSS and PASAT-3 (R= −0.37; P< .05). The most severe cognitive impairment was observed with high EDSS (7.5-9).
Conclusions: We have identified features of cognitive functions in MS. Follow-up and therapy of MS patients require cognitive dysfunction assessment using appropriate scales.
About the Authors
A. I. PelinRussian Federation
Andrey I. Pelin, Cand. Sci. (Med.), Head of the Neurology Unit, First Republican Clinical Hospital; Associate Professor, Izhevsk State Medical Academy
Izhevsk
E. R. Shagieva
Russian Federation
Elvina R. Shagieva, 6th Year Student, Faculty of General Medicine
Izhevsk
I. S. Khrabrov
Russian Federation
Ivan S. Khrabrov, 6th Year Student, Faculty of General Medicine
ulitsa Kommunarov 281, Izhevsk, 426056
R. R. Galieva
Russian Federation
Ruzilya R. Galieva, 6th Year Student, Faculty of General Medicine
Izhevsk
A. A. Faezova
Russian Federation
Alina A. Faezova, 6th Year Student, Faculty of General Medicine
Izhevsk
N. V. Komissarova
Russian Federation
Nataliia V. Komissarova, Cand. Sci. (Med.), Associate Professor, Head of the Neurology Department, Izhevsk State Medical Academy; Head of the Regional Vascular Center, First Republican Clinical Hospital
Izhevsk
M. Yu. Stoyanov
Russian Federation
Mikhail Yu. Stoyanov, 6th Year Student, Faculty of General Medicine
Krasnodar
References
1. Benedict RHB, Amato MP, DeLuca J, Geurts JJG. Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol. 2020;19(10):860– 871. PMID: 32949546. PMCID: PMC10011205. https://doi.org/10.1016/s1474-4422(20)30277-5.
2. Yamout BI, Alroughani R. Multiple Sclerosis. Semin Neurol. 2018;38(2):212–225. PMID: 29791948. https://doi.org/10.1055/s-0038-1649502
3. Bobholz JA, Rao SM. Cognitive dysfunction in multiple sclerosis: a review of recent developments. Curr Opin Neurol. 2003;16(3):283–288. PMID: 12858063. https://doi.org/10.1097/01.wco.0000073928.19076.84
4. Achiron A, Barak Y. Cognitive changes in early MS: a call for a common framework. J Neurol Sci. 2006;245(1–2):47–51. PMID: 16635495. https://doi.org/10.1016/j.jns.2005.05.019
5. Achiron A, Doniger GM, Harel Y, Appleboim-Gavish N, Lavie M, Simon ES. Prolonged response times characterize cognitive performance in multiple sclerosis. Eur J Neurol. 2007;14(10):1102–1108. PMID: 17880565. https://doi.org/10.1111/j.1468-1331.2007.01909.x
6. Achiron A, Polliack M, Rao SM, et al. Cognitive patterns and progression in multiple sclerosis: construction and validation of percentile curves. J Neurol Neurosurg Psychiatry. 2005;76(5):744–749. PMID: 15834042. PMCID: PMC1739629. https://doi.org/10.1136/jnnp.2004.045518
7. Buchanan R, Radin D, Chakravorty BJ, Tyry T. Perceptions of informal care givers: health and support services provided to people with multiple sclerosis. Disabil Rehabil. 2010;32(6):500–510. PMID: 19852704. https://doi.org/10.3109/09638280903171485
8. Achiron A, Chapman J, Magalashvili D, et al. Modeling of cognitive impairment by disease duration in multiple sclerosis: acrosssectional study. PLoS One. 2013;8(8):e71058. PMID: 23936485. PMCID: PMC3731335. https://doi.org/10.1371/journal.pone.0071058
9. Kurushina OV, BarulinAE, Konovalova OV. Correction of psychoemotional and autonomic dysfunction in patients with ischemic stroke. Zh Nevrol Psikhiatr Im S S Korsakova. 2013;113(9–2):50– 54. (In Russ.). PMID: 24107895.
10. Levin OS. Diagnosis and Treatment of Dementia in Clinical Practice. MEDpress-inform; 2009. (In Russ.).
11. Glanz BI, Healy BC, Rintell DJ, Jaffin SK, Bakshi R, Weiner HL. The association between cognitive impairment and quality of life in patients with early multiple sclerosis. J Neurol Sci. 2010;290(1–2):75–79. PMID: 19944429. https://doi.org/10.1016/j.jns.2009.11.004
12. McEwen BS. Invited review: estrogens effects on the brain: multiple sites and molecular mechanisms. J Appl Physiol (1985). 2001;91(6):2785–2801. PMID: 11717247. https://doi.org/10.1152/ jappl.2001.91.6.2785
13. Morgan KN, Derby CA, Gleason CE. Cognitive changes with reproductive aging, perimenopause, and menopause. Obstet Gynecol Clin North Am. 2018;45(4):751–763. PMID: 30401555. PMCID: PMC6853028. https://doi.org/10.1016/j.ogc.2018.07.011
14. Barulin AE, Kurushina OV, Rojas RS. Cognitive disorders in patients with multiple sclerosis. Medical Alphabet. 2019;2(19):24–28. (In Russ.). https://doi.org/10.33667/2078-5631-2019-2-19(394)-24-28
15. Russo C, Morabito F, Luise F, et al. Hyperhomocysteinemia is associated with cognitive impairment in multiple sclerosis. J Neurol. 2008;255(1):64–69. PMID: 18080853. https://doi. org/10.1007/s00415-007-0668-7
16. Musina NF. Cognitive disorders in multiple sclerosis: correlation between neuropsychological, neurophysiological and neuroimaging characteristics. Bulletin of Siberian Medicine. 2008;7(5– 1):252–259. (In Russ.). https://doi.org/10.20538/1682-0363-2008-5-1-252-259
Review
For citations:
Pelin A.I., Shagieva E.R., Khrabrov I.S., Galieva R.R., Faezova A.A., Komissarova N.V., Stoyanov M.Yu. Cognitive Impairment Features in Patients With Multiple Sclerosis. Innovative Medicine of Kuban. 2024;(3):40-46. (In Russ.) https://doi.org/10.35401/2541-9897-2024-9-3-40-46