Ankara Üniversitesi Tıp Fakültesi Mecmuası

0365-8104 1307-5608

Ankara University

Neurology and Neuromuscular Diseases

Nöroloji ve Nöromüsküler Hastalıklar

Can Electrophysiological Studies Predict Multiple Sclerosis Prognosis?

Elektrofizyolojik Çalışmalar Multipl Skleroz Prognozunu Öngörebilir mi?

https://orcid.org/0000-0002-9982-3650

Ergin

Özlem

Ankara Şehir Hastanesi Nöroloji Kliniği Öztürk Mungan

Semra

Ankara City Hospital, Clinic of Neurology

06 30 2022

75 2 231 238 06 03 2022 06 18 2022

1947

Ankara Üniversitesi Tıp Fakültesi Mecmuası

Objectives: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease with an unpredictable course. MS lesions can affect the evokedpotentials (EP) of electrophysiological studies. In this study, we aimed to predict the prognosis of MS patients with electrophysiological parameters.Materials and Methods: MS patients with visual EP (VEP) and somatosensorial EP (SEP) were included in the study during two-year period.Demographic characteristics, MS type, attack numbers, current expanded disability status scales (EDSS), electrophysiological EP, blood tests, firstcerebrospinal fluid (CSF) and magnetic resonance imaging (MRI) findings of the patients were evaluated.Results: Two hundred and fifty-nine MS patients were evaluated. There was a statistically significant difference between EDSS scores and thepathologies detected in both electrophysiological examinations (p

Amaç: Multipl skleroz (MS), prognozu öngörülemeyen otoimmün nörodejeneratif bir hastalıktır. MS lezyonları, elektrofizyolojik çalışmaların uyarılmışpotansiyellerini (UP) etkileyebilir. Bu çalışmada elektrofizyolojik parametreleri kullanarak MS hastalarının prognozunu öngörmeyi amaçladık.Gereç ve Yöntem: İki yıl boyunca, vizüel UP (VUP) ve somatosensoryal UP (SUP) tetkikleri yapılmış olan MS hastaları çalışmaya dahil edildi.Hastaların demografik özellikleri, MS tipi, atak sayıları, muayene esnasındaki genişletilmiş engellilik durum skalaları (EDSS), elektrofizyolojik UP, kantestleri, ilk beyin omurilik sıvısı (BOS) ve manyetik rezonans görüntüleme (MRG) bulguları değerlendirildi.Bulgular: Toplam iki yüz elli dokuz MS hastası değerlendirildi. Her iki elektrofizyolojik inceleme için de, tespit edilen patolojik sonuçlar ile hastalarınEDSS skorları arasında istatistiksel olarak anlamlı bir ilişki vardı (p

Multiple Sclerosis Prognosis Electrophysiology Evoked Potentials

Multipl Skleroz Prognoz Elektrofizyoloji Uyarılmış Potansiyeller

1. Belbasis L, Bellou V, Evangelou E, Ioannidis JP, Tzoulaki I. Environmental risk factors and multiple sclerosis: an umbrella review of systematic reviews and meta-analyses. Lancet Neurol. 2015;14:263-273.

2. Sawcer S, Franklin RJ, Ban M. Multiple sclerosis genetics. Lancet Neurol. 2014;13:700-709.

3. Katz Sand I. Classification, diagnosis, and differential diagnosis of multiple sclerosis. Curr Opin Neurol. 2015;28:193-205.

4. Comi G, Locatelli T, Leocani L, Medaglini S, Rossi P, Martinelli V. Can evoked potentials be useful in monitoring multiple sclerosis evolution? Electroencephalogr Clin Neurophysiol Suppl. 1999;50:349-357.

5. Lublin FD, Reingold SC, Cohen JA, et al. Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology. 2014;83:278-286.

6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17:162-173.

7. Giffroy X, Maes N, Albert A, Maquet P, Crielaard JM, Dive D. Do evoked potentials contribute to the functional follow-up and clinical prognosis of multiple sclerosis? Acta Neurol Belg. 2017;117:53-59.

8. Hardmeier M, Fuhr P. Multimodal Evoked Potentials as Candidate Prognostic and Response Biomarkers in Clinical Trials of Multiple Sclerosis. J Clin Neurophysiol. 2021;38:171-180.

9. Allen RP, Picchietti DL, Garcia-Borreguero D, et al. Restless legs syndrome/ Willis-Ekbom disease diagnostic criteria: updated International Restless Legs Syndrome Study Group (IRLSSG) consensus criteria--history, rationale, description, and significance. Sleep Med. 2014;15:860-873.

10. Giffroy X, Maes N, Albert A, Maquet P, Crielaard JM, Dive D. Multimodal evoked potentials for functional quantification and prognosis in multiple sclerosis. BMC Neurol. 2016;16:83.

11. Nuwer MR, Packwood JW, Myers LW, Ellison GW. Evoked potentials predict the clinical changes in a multiple sclerosis drug study. Neurology. 1987;37:1754-1761.

12. Leocani L, Guerrieri S, Comi G. Visual Evoked Potentials as a Biomarker in Multiple Sclerosis and Associated Optic Neuritis. J Neuroophthalmol. 2018;38:350-357.

13. Carter J, Stevens J. Somatosensory evoked potentials. In: Daube J, Rubin D, editors. Clinical Neurophysiology. New York: Oxford University Press; 2009. p. 257-280.

14. Invernizzi P, Bertolasi L, Bianchi MR, Turatti M, Gajofatto A, Benedetti MD. Prognostic value of multimodal evoked potentials in multiple sclerosis: the EP score. J Neurol. 2011;258:1933-1939.

15. Ramanathan S, Lenton K, Burke T, et al. The utility of multimodal evoked potentials in multiple sclerosis prognostication. J Clin Neurosci. 2013;20:1576-1581.

16. Comi G, Leocani L, Medaglini S, et al. Measuring evoked responses in multiple sclerosis. Mult Scler. 1999;5:263-267.

17. Dobson R, Giovannoni G. Multiple sclerosis - a review. Eur J Neurol. 2019;26:27-40.

18. Tremlett H, Paty D, Devonshire V. Disability progression in multiple sclerosis is slower than previously reported. Neurology. 2006;66:172-177.

19. Trojano M, Liguori M, Bosco Zimatore G, et al. Age-related disability in multiple sclerosis. Ann Neurol. 2002;51:475-480.

20. Bergamaschi R, Romani A, Tonietti S, Citterio A, Berzuini C, Cosi V. Usefulness of Bayesian graphical models for early prediction of disease progression in multiple sclerosis. Neurol Sci. 2000;21(4 Suppl 2):S819-S823.

21. Leocani L, Rovaris M, Boneschi FM, et al. Multimodal evoked potentials to assess the evolution of multiple sclerosis: a longitudinal study. J Neurol Neurosurg Psychiatry. 2006;77:1030-1035.

22. Matthews WB, Small DG. Serial recording of visual and somatosensory evoked potentials in multiple sclerosis. J Neurol Sci. 1979;40:11-21.

23. Sater RA, Rostami AM, Galetta S, Farber RE, Bird SJ. Serial evoked potential studies and MRI imaging in chronic progressive multiple sclerosis. J Neurol Sci. 1999;171:79-83.

24. de Weerd AW, Jonkman EJ. Changes in visual and short-latency somatosensory evoked potentials in patients with multiple sclerosis. Adv Neurol. 1982;32:527-534.

25. Fuhr P, Borggrefe-Chappuis A, Schindler C, Kappos L. Visual and motor evoked potentials in the course of multiple sclerosis. Brain. 2001;124:2162-2168.

26. Ghezzi A, Zaffaroni M, Caputo D, Montanini R, Cazzullo CL. Evaluation of evoked potentials and lymphocyte subsets as possible markers of multiple sclerosis: one year follow up of 30 patients. J Neurol Neurosurg Psychiatry. 1986;49:913-919.

27. Andersson T, Sidén A. Multimodality evoked potentials and neurological phenomenology in patients with multiple sclerosis and potentially related conditions. Electromyogr Clin Neurophysiol. 1991;31:109-117.

28. Hardmeier M, Fuhr P. Multimodal Evoked Potentials as Candidate Prognostic and Response Biomarkers in Clinical Trials of Multiple Sclerosis. J Clin Neurophysiol. 2021;38:171-180.

29. Iodice R, Carotenuto A, Dubbioso R, Cerillo I, Santoro L, Manganelli F. Multimodal evoked potentials follow up in multiple sclerosis patients under fingolimod therapy. J Neurol Sci. 2016;365:143-146.

30. Cree BAC, Arnold DL, Chataway J, et al. Secondary Progressive Multiple Sclerosis: New Insights. Neurology. 2021;97:378-388.

31. Azevedo CJ, Cen SY, Khadka S, et al. Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol. 2018;83:223-234.

32. Zhornitsky S, McKay KA, Metz LM, Teunissen CE, Rangachari M. Cholesterol and markers of cholesterol turnover in multiple sclerosis: relationship with disease outcomes. Mult Scler Relat Disord. 2016;5:53-65.

33. Calabrese M, Federle L, Bernardi V, et al. The association of intrathecal immunoglobulin synthesis and cortical lesions predicts disease activity in clinically isolated syndrome and early relapsing-remitting multiple sclerosis. Mult Scler. 2012;18:174-180.

34. Gasperi C, Salmen A, Antony G, et al. Association of Intrathecal Immunoglobulin G Synthesis With Disability Worsening in Multiple Sclerosis. JAMA Neurol. 2019;76:841-849.

35. Ellidag HY, Eren E, Erdogan N, Ture S, Yilmaz N. Comparison of neurophysiological and MRI findings of patients with multiple sclerosis using oligoclonal band technique. Ann Neurosci. 2013;20:149-154.

36. Tiftikcioglu BI, Ilgezdi I, Zorlu Y, Sener U, Tokucoglu F. Long-term disability and progression in spinal onset multiple sclerosis. Acta Neurol Belg. 2018;118:217-225.

37. Bergamaschi R. Prognostic factors in multiple sclerosis. Int Rev Neurobiol. 2007;79:423-47.

38. Sieminski M, Losy J, Partinen M. Restless legs syndrome in multiple sclerosis. Sleep Med Rev. 2015;22:15-22.

39. Nardone R, Sebastianelli L, Versace V, et al. Involvement of central sensory pathways in subjects with restless legs syndrome: A neurophysiological study. Brain Res. 2021;1772:147673.

40. Kısabay A, Sarı US, Korkmaz T, Dinçhorasan G, Yılmaz H, Selçuki D. Evaluation of neurodegeneration through visual evoked potentials in restless legs syndrome. Acta Neurol Belg. 2016;116:605-613.