ГоловнаArchive of numbers2023Volume 31, issue 3 (116)Comparative mathematical analysis of nonhereditary risk and anti-risk factors between patients with multiple sclerosis and their practically healthy children based on anamnesis data
Title of the article Comparative mathematical analysis of nonhereditary risk and anti-risk factors between patients with multiple sclerosis and their practically healthy children based on anamnesis data
Authors Negreba Tetiana
Voloshyna Natalia
Kirzhner Valery
Chernenko Maksym
PogulyaevaTetiana
Nikishkova Iryna
Voloshyn-Gaponov Ivan
Kutikov Damir
Gaponov Petro
In the section MECHANISMS OF FORMATION AND MODERN PRINCIPLES OF TREATMENT OF NEUROLOGICAL DISORDERS
Year 2023 Issue Volume 31, issue 3 (116) Pages 39-45
Type of article Scientific article Index UDK 616.852-004.12:615.07:371.711 Index BBK -
Abstract DOI: https://doi.org/10.36927/2079-0325-V31-is3-2023-7

 Purpose: to identify and systematise nonhereditary risk and anti-risk factors that promote and prevent the development of multiple sclerosis (MS) based on a systematic comparative mathematical analysis of anamnestic data between patients with sporadic and familial forms of MS and practically healthy adult children born to sick parents. Research methods: questionnaire survey; methods of mathematical statistics (mean values, confidence interval); permutation test; odds ratio (OR). A total of 97 patients with MS were examined: sporadic form — 56, familial form — 42, practically healthy children — 40. The analysis of obstetric and gynecological, premorbid anamnesis, and lifestyle indicators was carried out using specially designed questionnaires. Using the permutation method and OR > 1, differentiated patterns of reliable anamnestic data were obtained, which were considered as conditional risk factors (RFs) and protective anti-risk factors (AFs). Combinations of premorbid history and lifestyle indicators, as well as quantitative differences between the RFs, were identified. The significant predominance of RFs over AFs indicates that nonhereditary factors do not prevent the development of MS and do not exclude the risk of its development in practically healthy children born with a hereditary burden of MS.
Key words multiple sclerosis, risk factors, anti-risk factors, healthy adult children, mathematical analysis
Access to full text version of the article pdf download
Bibliography 1. Boyko A. N., Gusev E. I. Dostizheniya v izuchenii problem rasseyannogo skleroza (obzor). Doktor.Ru. Nevrologiya, psikhiatriya. 2012. T. 73. No. 5. S. 9—15. (In Russian).
2. Antoniuk T. Rozsiianyi skleroz: sytuatsiinyi analiz problemy v Ukraini: za materialamy obhovorennia rezultativ pershoho v Ukraini kompleksnoho doslidzhennia zakhvoriuvanosti na rozsiianyi skleroz, yii diahnostyky ta likuvannia. NeiroNEWS: psykhonevrolohiia ta neiropsykhiatriia. 2018. No. 3 (96). S. 6—9. (In Ukrainian).
3. Gusev E. I., Zavalishin I. A., Boyko A. N. Rasseyannyy skleroz : klinicheskoye rukovodstvo. Moskva : Real Tayms, 2011. 528 s. (In Russian).
4. Goncharova Z. A. Kliniko-epidemiologicheskaya kharakteristika rasseyannogo skleroza (prospektivnoye 20-letneye issledovaniye) : dissertatsiya na soiskaniye uchenoy stepeni doktora meditsinskikh nauk : 14.01.11 / Goncharova, Zoya Aleksandrovna. Ivanovo, 2013. 320 s. https://www.dissercat.com/content/ kliniko-epidemiologicheskaya-kharakteristika-rasseyannogoskleroza- prospektivnoe-20-letnee-i. (In Russian).
5. Simpson S Jr, Taylor BV, van der Mei I. The role of epidemiology in MS research: Past successes, current challenges and future potential. Mult Scler. 2015 Jul;21(8):969-77. doi: 10.1177/1352458515574896. Epub 2015 Mar 12. PMID: 25767125.
6. Ramagopalan S., Sadovnick A. Genetics and epidemiology of multiple sclerosis. In: Primer on multiple sclerosis / ed. by B. S. Giesser. N. Y. : Oxford University Press, 2011. P. 15–29.
7. Ehtesham N, Rafie MZ, Mosallaei M. The global prevalence of familial multiple sclerosis: an updated systematic review and meta-analysis. BMC Neurol. 2021 Jun 28;21(1):246. doi: 10.1186/ s12883-021-02267-9. PMID: 34182943; PMCID: PMC8237453.
8. Favorova O. O., Boyko A. N., Kulakova O. G. Rasseyannyy skleroz kak poligennoye zabolevaniye: sovremennoye sostoyaniye problemy. Genetika. 2010. T. 46, No. 3. S. 302—313. (In Russian).
9. Al Jumah M, Kojan S, Al Khathaami A, Al Abdulkaream I, Al Blawi M, Jawhary A. Familial multiple sclerosis: does consanguinity have a role? Mult Scler. 2011 Apr;17(4):487-9. doi: 10.1177/1352458510390406. Epub 2010 Dec 21. PMID: 21177327.
10. Balcerac A, Louapre C. Genetics and familial distribution of multiple sclerosis: A review. Rev Neurol (Paris). 2022 Jun;178(6):512-520. doi: 10.1016/j.neurol.2021.11.009. Epub 2022 Feb 9. PMID: 35148907.
11. McElroy JP, Oksenberg JR. Multiple sclerosis genetics. Curr Top Microbiol Immunol. 2008;318:45-72. doi: 10.1007/978- 3-540-73677-6_3. PMID: 18219814.
12. Olsson T, Barcellos LF, Alfredsson L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nat Rev Neurol. 2017 Jan;13(1):25-36. doi: 10.1038/ nrneurol.2016.187. Epub 2016 Dec 9. PMID: 27934854..
13. Shevchenko O. S., Guseva A. E., Bulik L. M., Medved V. I. Rasseyannyy skleroz i beremennost: sostoyaniye problemy i klinicheskiy opyt. Zbirnyk naukovykh prats asotsiatsii akusherivhinekolohiv Ukrainy. 2022. No. 1 (49). S. 59–66 DOI: https:// doi.org/10.35278/2664-0767.1(49).2022.266329. (In Russian).
14. Peresedova A. V., Nikolenko L. V., Zavalishin I. A. Aktualnyye voprosy vedeniya beremennosti pri rasseyannom skleroze (obzor literatury). Zhurnal nevrologii i psikhiatrii im. S. S. Korsakova. Spetsvypuski. 2014. No. 114 (10‑2). S. 63–70. (In Russian).
15. Spirin N. N., Kachura D. A., Kachura A. N., Boyko A. N. Vliyaniye ekologicheskikh faktorov na zabolevayemost i rasprostranennost rasseyannogo skleroza. Zhurnal nevrologii i psikhiatrii imeni S. S. Korsakova. 2003. No. 2. S. 111—113. (In Russian).
16. Ebers GC. Environmental factors and multiple sclerosis. Lancet Neurol. 2008 Mar;7(3):268-77. doi: 10.1016/S1474- 4422(08)70042-5. PMID: 18275928.
17. Voloshyna N. P., Vasylovskyi V. V., Chernenko M. E. Vliyaniye infektsionnogo faktora na sostoyaniye gematoentsefalicheskogo baryera u bolnykh rasseyannym sklerozom. Ukrainskyi visnyk psykhonevrolohii. 2013. T. 21, vyp. 1 (74). S. 5—7. https://uvnpn. com.ua/upload/iblock/16e/16e03af2aa8182a7e5cdd813234997 6c.pdf. (In Russian).
18. Goldsmith JR. Vitamin D as an Immunomodulator: Risks with Deficiencies and Benefits of Supplementation. Healthcare (Basel). 2015 Apr 14;3(2):219-32. doi: 10.3390/healthcare3020219. PMID: 27417758; PMCID: PMC4939543.
19. Broadley SA, Deans J, Chataway SJ, Sawcer SJ, Compston DA. Multiple sclerosis and tonsillectomy: no evidence for an influence on the development of disease or clinical phenotype. Mult Scler. 2000 Apr;6(2):121-3. doi: 10.1177/135245850000600211. PMID: 10773858.
20. Keykhaei F, Norouzy S, Froughipour M, Nematy M, Saeidi M, Jarahi L, Amiri F, Malek Ahmadi M, Norouzy A. Adherence to healthy dietary pattern is associated with lower risk of multiple sclerosis. J Cent Nerv Syst Dis. 2022 May 6;14:11795735221092516. doi: 10.1177/11795735221092516. PMID: 35558004; PMCID: PMC9087291.
21. Najafi MR, Shaygannajad V, Mirpourian M, Gholamrezaei A. Vitamin B(12) Deficiency and Multiple Sclerosis; Is there Any Association? Int J Prev Med. 2012 Apr;3(4):286-9. PMID: 22624086; PMCID: PMC3354399.
22. Nicoletti A, Messina S, Bruno E, Mostile G, Quattrocchi G, Raciti L, Dibilio V, Cappellani R, D’Amico E, Sciacca G, Lo Fermo S, Paradisi V, Patti F, Zappia M. Risk factors in multiple sclerosis: a population-based case-control study in Sicily. Background and methods. Neurol Sci. 2016 Dec;37(12):1931-1937. doi: 10.1007/ s10072-016-2685-8. Epub 2016 Aug 3. PMID: 27488302.
23. Taan M, Al Ahmad F, Ercksousi MK, Hamza G. Risk Factors Associated with Multiple Sclerosis: A Case-Control Study in Damascus, Syria. Mult Scler Int. 2021 Jun 1;2021:8147451. doi: 10.1155/2021/8147451. PMID: 34123428; PMCID: PMC8189778.
24. Mielke Paul W. (jr.), BerryKenneth J. Permutation Methods: A Distance Function Approach. Springer Science & Business Media, 2001. 352.
25. Moore D. Bootstrap Methods and Permutation Tests. The Practice of Business Statistics. Ed. T. Hesterberg. N. Y. Freeman & Co. 2003. Chapter 14. 70 p. https://www.yumpu.com/ en/document/view/24093268/chapter-14-bootstrap-methodsand- permutation-tests-wh-freeman.
26. Zaytsev V. M., Liflyandskiy V. G., Marinkin V. I. Prikladnaya meditsinskaya statistika. SPb. : Foliant, 2003. 428 s. (In Russian).
27. Nehreba T. V. Klinichna diahnostyka riznykh typiv perebihu rozsiianoho sklerozu. Zbirka anket: Svidotstvo pro avtorske pravo na naukovyi tvir № 8675 vid 31.10.2003 r. (In Ukrainian).
28. Voloshina N.P., Negreba T.V., Vasilovskiy V.V, Pertsev G.D., Pesotskaya K.O., Pogulyayeva T.N., Tereshchenko L.P., Chernenko M.E., Fedoseyev S.V. Sravnitelnaya klinicheskaya kharakteristika raznykh tipov techeniya semeynykh i sporadicheskikh form rasseyannogo skleroza. Ukrainskyi visnyk psykhonevrolohii. 2018. T. 26, vyp. 1 (94). S. 10—19. (In Russian).