ГоловнаArchive of numbers2022Volume 30, issue 2(111)To the issue of prevalence of EEG abnormalities in coronavirus disease 2019: a meta-analysis of EEG data of 1916 patients diagnosed with COVID-19
Title of the article To the issue of prevalence of EEG abnormalities in coronavirus disease 2019: a meta-analysis of EEG data of 1916 patients diagnosed with COVID-19
Authors Nikishkova Iryna
Kutikov Damir
In the section MECHANISMS OF FORMATION AND MODERN PRINCIPLES OF TREATMENT OF NEUROLOGICAL DISORDERS
Year 2022 Issue Volume 30, issue 2(111) Pages 40-44
Type of article Scientific article Index UDK 612.014.423:612.82:616.9-06 Index BBK -
Abstract DOI: https://doi.org/10.36927/2079-0325-V30-is2-2022-6

 In order to quantitatively evalu- ate the electroencephalography (EEG) findings in patients (18 years old and older) with coronavirus disease 2019 (COVID-19), a systematical review of the sources and meta-analysis were performed. Publications with descrip- tive EEG in patients diagnosed with COVID-19 were systematically searched in PubMed databases until May 31, 2022. In analysis of the EEG data, American Clinical Neurophysiology Society’s terminology was used. Confidence intervals (CIs) for the ge- neral sample were computed using the Wilson score CI method, adjusting for continuity. The I2 statistic was used to measure heterogeneity of stud- ies. Of 295 identified publications, there were selected 121 studies from 19 count ries throughout the world. EEG data of 1916 patients (age from 18 to 97 years old; mean age 60 years old) were included in the meta-analysis. Normal EEG was recorded in 7.52 % (95 % CІ: 6.39–8.83). Abnormal back- ground activity (86.90 % (95 % CІ: 85.31–88.34), I2 = 41.23 %), first of all generalized slowing (75.22 % (95 % CІ: 73.23–77.11)), was the most preva- lent finding. Generalized periodic and rhythmic EEG patterns were more pre- vailed than lateralized ones (31.05 % vs. 7.90 %). Epileptiform discharges were registered in 23.06 % (95 % CІ: 21.19–25.05) of patients, along with this status epilepticus (both anam- nestic and de novo) had 9.49 % (95 % CІ: 8.19–10.98), I2 = 58.82 %, including nonconvulsive status epi- lepticus in 3.59 % (95 % CІ: 2.81– 4.58), I2 = 33.35 %. Non-specificity of the EEG findings in COVID-19 sup- ports a multimodality of pathophysio- logical mechanisms of their origin. Further researches of EEG-ab- normalities in COVID-19 in dynamics are necessary, whereas now the pre- valence of these abnormalities is use- ful from the point of view of adequacy of a diagnostic minimum rather than risk prognosis for each patient.
Key words EEG, COVID-19, periodic and rhythmic EEG patterns, epileptiform discharges
Access to full text version of the article pdf download
Bibliography 1. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China / L. Mao, H. Jin, M. Wang [et al.] // JAMA Neurol. 2020. Vol. 77 (6). P. 683—690. DOI: 10.1001/jamaneurol.2020.1127.
2. Carod-Artal F. J. Neurological complications of coronavirus and COVID-19 // Rev. Neurol. 2020. Vol. 70 (9). P. 311—322. DOI: 10.33588/rn.7009.2020179.
3. Encefalopatías y encefalitis durante la infección aguda por SARS-CoV2. Registro de la Sociedad Española de Neurología SEN COVID-19 / M. J. Abenza Abildúa, S. Atienza, G. Carvalho Monteiro [et al.] // Neurol. 2021. Vol. 36 (2). P. 127—134. DOI: 10.1016/j.nrl.2020.11.013.
4. EEG findings in acutely ill patients investigated for SARS-CoV-2/COVID-19: A small case series preliminary report / A. S. Galanopoulou, V. Ferastraoaru, D. J. Correa [et al.] // Epilepsia Open. 2020. Vol. 5 (2). P. 314—324. DOI: 10.1002/epi4.12399.
5. Electroencephalographic abnormalites in SARS-CoV-2 patients / S. Besnard, C. Nardin, E. Lyon [et al.] // Front. Neurol. 2020. Vol. 11: 582794. DOI: 10.3389/fneur.2020.582794.
6. Continuous EEG findings in patients with COVID-19 in- fection admitted to a New York academic hospital system / J. Pellinen, E. Carroll, D. Friedman [et al.] // Epilepsia. 2020. Vol. 61 (10). P. 2097—2105. DOI: 10.1111/epi.16667.
7. EEG abnormalities and their radiographic correlates in a COVID-19 in patient cohort / S. T. Hwang, A. A. Ballout, A. N. Sonti [et al.] // Neurol. Clin. Pract. 2022. Vol. 12 (1). Р. 52—59. DOI: 10.1212/CPJ.0000000000001136.
8. Electroencephalographic findings in COVID-19 patients: A systematic review / [K. T. Roberto, A. I. Espiritu, M. L. L. Fer- nandez, J. C. Gutierreza] // Seizure. 2020. Vol. 82. Р. 17—22. DOI: 10.1016/j.seizure.2020.09.007.
9. Antony A. R. Systematic review of EEG findings in 617 patients diagnosed with COVID-19 / A. R. Antony, Z. Ha- neef // Seizure. 2020. Vol. 83. P. 234—241. DOI: 10.1016/j.sei- zure.2020.10.014. 10. Electroencephalographic (EEG) features of encephalopa- thy in the setting of Covid-19: a case series / L. J. W. Canham, L. E. Staniaszek, A. M. Mortimer [et al.] // Clin. Neurophysiol. Pract. 2020. Vol. 5. P. 199—205. DOI: 10.1016/j.cnp.2020.06.001.
11. Changes in EEG recordings in COVID-19 patients as a ba- sis for more accurate QEEG diagnostics and EEG neurofeedback therapy: a systematic review / M. Kopańska, A. Banaś-Ząbczyk, A. Łagowska [et al.] // J. Clin. Med. 2021. Vol. 10 (6). Р. 1300. DOI: 10.3390/jcm10061300.
12. EEG changes in intensive care patients diagnosed with COVID-19: a prospective clinical study / O. Karadas, B. Ozturk, A. R. Sonkaya [et al.] // Neurol. Sci. 2022. Vol. 43 (4). Р. 2277— 2283. DOI: 10.1007/s10072-021-05818-7.
13. Continuous electroencephalography characteristics and acute symptomatic seizures in COVID-19 patients / S. Louis, A. Dhawan, C. Newey [et al.] // Clin. Neurophysiol. 2020. Vol. 131 (11). P. 2651—2656. DOI: 10.1016/j.clinph.2020.08.003.
14. Association of clinical, biological, and brain magnetic resonance imaging findings with electroencephalographic findings for patients with COVID-19 / V. Lambrecq, A. Hanin, E. Munoz-Musat [et al.] // JAMA Netw Open. 2021. Vol. 4 (3). e211489. DOI: 10.1001/jamanetworkopen.2021.1489.
15. Retrospective observational study of brain magnetic resonance imaging findings in patients with acute SARS-CoV-2 infection and neurological manifestations / L. Chougar, N. Shor, N. Weiss [et al.] // Radiology. 2020. Vol. 297 (3). E313-E323. DOI:10.1148/radiol.2020202422.
16. Coronavirus 2019 (COVID-19)-associated encephalopa- thies and cerebrovascular disease: the New Orleans experience / T. Scullen, J. Keen, M. Mathkour [et al.] // World Neurosurg. 2020. Vol. 141. e437-e446. DOI: 10.1016/j.wneu.2020.05.192.
17. American clinical neurophysiology society’s standard- ized critical care EEG terminology: 2021 version / L. J. Hirsch, M. W. K. Fong, M. Leitinger [et al.] // J. Clin. Neurophysiol. 2021. Vol. 38 (1). P. 1—29. DOI: 10.1097/WNP.0000000000000806.
18. Haidich A. Meta-analysis in medical research // Hip- pokratia. 2010. Vol. 14 (1). P. 29—37. PMC3049418.
19. Neyeloff J. L., Fuchs S. C., Moreira L. B. Meta-analyses and Forest plots using a Microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis // BMC Research Notes. 2012. Vol. 5 (1). S. 52. DOI: 10.1186/1756-0500-5-52.
20. Kubota T, Gajera P. K, Kuroda N. Meta-analysis of EEG findings in patients with COVID-19 // Epilepsy Behav. 2021. Vol. 115: 107682. DOI: 10.1016/j.yebeh.2020.107682.
21. Report on electroencephalographic findings in critically ill patients with COVID-19 / H. Vespignani, D. Colas, B. S. Lavin [et al.] // Ann. Neurol. 2020. Vol. 88. No. 3. P. 626—630. DOI: 10.1002/ana.25814.
 22. Posterior reversible encephalopathy syndrome (PRES): electroencephalographic findings and seizure patterns / O. Kastrup, M. Gerwig, M. Frings, H. Diener // J. Neurol. 2012. Vol. 259 (7). P. 1383—1389. DOI: 10.1007/s00415-011-6362-9.
23. Status epilepticus and COVID-19: A systematic review / F. Dono, B. Nucera, J. Lanzone [et al.] // Epilepsy Behav. 2021. Vol. 118: 107887. DOI: 10.1016/j.yebeh.2021.107887.
24. Status epilepticus and other EEG findings in patients with COVID-19: A case series / W. Chen, S. Toprani, K. Wer- baneth, J. Falco-Walter // Seizure. 2020. Vol. 81. Р. 198—200. DOI: 10.1016/j.seizure.2020.08.022.
25. COVID-19, de novo seizures, and epilepsy: a system- atic review / A. A. Asadi-Pooya, L. Simani, M. Shahisavandi, Z. Barzegar // Neurol Sci. 2021. Vol. 42. (2). P. 415—431. DOI: 10.1007/s10072-020-04932-2.
26. Genetic epilepsies and COVID-19 pandemic: lessons from the caregiver perspective / A. Aledo-Serrano, A. Mingo- rance, A. Jiménez-Huete [et al.] // Epilepsia. 2020. Vol. 61 (6). P. 1312—1314. DOI: 10.1111/epi.16537.