PECULIARITIES OF THE COURSE, DIAGNOSIS, AND TREATMENT OF MULTIPLE SCLEROSIS

Author:

Potapov Oleksandr1ORCID,Kmyta Oleksiy1ORCID,Tsyndrenko Oleksandr1ORCID,Makeyenko Iryna2,Sumtsova Kateryna2,Nikolaenko Yana2

Affiliation:

1. Department of Neurosurgery and Neurology, Educational and Scientific Medical Institute of Sumy State University, Sumy, Ukraine

2. Educational and Scientific Medical Institute of Sumy State University, Sumy, Ukraine

Abstract

Introduction. Multiple sclerosis (MS) is a chronic progressive disease of the central nervous system, which is characterized by demyelination and degeneration of nerve fibers and has a polymorphic clinical picture and a tendency to an unfavourable course [1]. The disease usually affects young and working-age people, leading to early disability and poor quality of life, which makes it a socially significant problem of our time [2]. The main objective was to increase the efficiency of diagnosis and treatment of patients with multiple sclerosis based on a comprehensive analysis of clinical-neurological, psychodiagnostic, and neuroimaging features of the onset and course of the disease. Materials and Methods: Clinical and neurological examination of patients using the Functional System Score (FSS) and Expanded Disability Status Scale (EDSS); cognitive functions examination using the Mini-Mental State Examination (MMSE), the clock-drawing test, the five-word test; brain magnetic resonance imaging; the 36-Item Short Form Health Survey (SF-36). According to statistics, there are about 3 million patients with multiple sclerosis worldwide. In Ukraine, about 20,000 people have multiple sclerosis. Currently, a hypothesis has been made about multiple sclerosis as a multifactorial disease that is, to a great extent, attributable to genetic predisposition (i. e., features of the immune reaction) and the influence of external factors [1]. Multiple sclerosis mainly affects young and mature people – 12 to 55 years old. Although multiple sclerosis can sometimes make its debut in puberty, however, the frequency of the disease gradually increases with age up to the middle of the third decade of life, with a subsequent decrease up to the age of 50–60 [3]. Recently, a trend toward the rejuvenation of multiple sclerosis has been observed. About 3% of all patients with multiple sclerosis are children under 16. Multiple sclerosis debuting at a later age is not sufficiently studied and is rarely diagnosed, although in about 20% of patients, the first signs of this pathology appear after age 40 [4, 11].

Publisher

Sumy State University

Subject

General Medicine

Reference13 articles.

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2. Anna Pokryszko-Dragan, Marta Nowakowska-Kotas, Robert Ciastoń, Magdalena Pszczołowska, Agnieszka Gardzińska, Agata Frańczuk, Monika Ferenc, Małgorzata Gardzińska, Ewa Gruszka, Sławomir Budrewicz. Vocational activity for patients with multiple sclerosis. Neurol Neurochir Pol. 2022;56(5):435-440. doi: 10.5603/PJNNS.2022.0062.

3. Bunganic R, Blahutova S, Revendova K, Zapletalova O, Hradilek P, Hrdlickova R, Ganesh A, Cermakova Z, M Bar, O Volny. Therapeutic plasma exchange in multiple sclerosis patients with an aggressive relapse: an observational analysis in a high-volume center. Sci Rep. 2022 Nov 1;12(1):18374. doi: 10.1038/s41598-022-23356-w

4. Yavor Yalachkov, Jan Hendrik Schäfer, Jasmin Jakob, Lucie Friedauer, Falk Steffen, Stefan Bittner, Christian Foerch, Martin Alexander Schaller-Paule. Effect of Estimated Blood Volume and Body Mass Index on GFAP and NfL Levels in the Serum and CSF of Patients With Multiple Sclerosis. Neurol Neuroimunol Neuroinflam. 2022 Oct 31;10(1):e200045. PMID:36316116 doi: 10.1212/NXI.0000000000200045

5. Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier. Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Front Robot AI. 2022 Oct 13;9:926255. PMID: 36313252 PMCID: PMC9608344. doi: 10.3389/frobt.2022.926255

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