PREDICTING THE DEVELOPMENT OF COGNITIVE IMPAIRMENT IN PATIENTS AFTER COVID-19 INFECTION

Authors:

Abstract:

The study focused on predicting the development of cognitive impairment in patients following COVID-19. The study involved 100 patients, 69 in the main group and 31 in the control group. In terms of gender composition, men predominated – 60 people. According to the results of a comprehensive clinical and neurological examination, as well as neuropsychological examination, which considers quality of life indicators and laboratory examination, specifically the level of phosphorylated neurofilament, this factor is identified as a predictor of the development of the neurodegenerative process. Patients in the main group (n=69) were divided into 2 subgroups based on the level of neurofilament: the NfL-N subgroup with a concentration not exceeding the norm and the NfL-P subgroup with a concentration above the norm. A predictive model for the development of cognitive impairment in patients with COVID-19 has been developed to improve early diagnosis of neurodegenerative diseases.

Keywords:

prediction cognitive impairment depression anxiety COVID-19 neurofilaments

References:

1. Hruzieva TS, Liekhan VM, Ohniev VA ta in. Biostatystyka: pidruchnyk. Vinnytsia : Nova Knyha, 2020. 384 s. [in Ukrainian].
2. Ivanchuk MA, Malyk IV, Knignitska TV, Lukashiv TO. Statystychnyy analiz vidnosnykh velychyn u medytsyni. Clin Exp Pathol. 2020;18(4).:109-114. DOI: 10.24061/1727-4338.XVІII.4.70.2019.300. [in Ukrainian].
3. Bechter K, Brown D, Najjar S. Editorial: Recent advances in psychiatry from psycho-neuro-immunology research: Autoimmune encephalitis, autoimmune encephalopathy, and mild encephalitis. Front Psychiatry. 2019;10:169. doi: 10.3389/fpsyt.2019.00169.
4. Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020;368:m1091. doi: 10.1136/bmj.m1091.
5. Espinosa PS, Rizvi Z, Sharma P, Hindi F, Filatov A. Neurological Complications of Coronavirus Disease (COVID-19): Encephalopathy, MRI Brain and Cerebrospinal Fluid Findings: Case 2. Cureus. 2020. 12. e7930. DOI:10.7759/cureus.7930.
6. Gaetani L, Blennow K, Calabresi P, Di Filippo M, Parnetti L, Zetterberg H. Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry. 2019;90(8):870–81. doi: 10.1136/jnnp-2018-320106.
7. Kumari P, Rothan HA, Natekar JP, Stone S, Pathak H, Strate PG, et al. Neuroinvasion and encephalitis following intranasal inoculation of SARS-CoV-2 in K18-hACE2 mice. Viruses. 2021;13(1):132. doi: 10.3390/v13010132.
8. Li Y, Li M, Wang M, Zhou Y, Chang J, Xian Y, et al. Acute cerebrovascular disease following COVID-19: a single center, retrospective, observational study. Stroke Vasc Neurol. 2020;5(3):279–84. doi: 10.1136/svn-2020-000431.
9. Lopez-Leon S, Wegman-Ostrosky T, Perelman C, Sepulveda R, Rebolledo PA, Cuapio A, et al. More than 50 Long-term effects of COVID-19: a systematic review and meta-analysis. medRxiv. 2021. doi: 10.1101/2021.01.27.21250617.
10. Mina FB, Billah M, Karmakar S, Das S, Rahman MS, Hasan MF, et al. An online observational study assessing clinical characteristics and impacts of the COVID-19 pandemic on mental health: a perspective study from Bangladesh. Z Gesundh Wiss. 2023;31(2):319–27. https://doi.org/10.1007/s10389-020-01445-2.
11. Olsson B, Portelius E, Cullen NC, Sandelius Å, Zetterberg H, Andreasson U, et al. Association of cerebrospinal fluid neurofilament light protein levels with cognition in patients with dementia, motor neuron disease, and movement disorders. JAMA Neurol. 2019;76(3):318–25. doi: 10.1001/jamaneurol.2018.3746.
12. Park Y, Kc N, Paneque A, Cole PD. Tau, glial fibrillary acidic protein, and neurofilament light chain as brain protein biomarkers in cerebrospinal fluid and blood for diagnosis of neurobiological diseases. Int J Mol Sci. 2024;25(12):6295. doi: 10.3390/ijms25126295.
13. Riffenburgh R, Gillen D. Statistics in medicine. Elsevier Inc. Vol. 822. Elsevier Inc. London; 2020. DOI:10.1080/00031305.2022.2054626.
14. Rogers JP, Chesney E, Oliver D, Pollak TA, McGuire P, Fusar-Poli P, et al. Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. Lancet Psychiatry. 2020;7(7):611–27. doi: 10.1016/S2215-0366(20)30203-0.
15. Siriken B, Başkan C, Güler A, Demir H, Aka N. Coronavirus Disease (COVID-19). Livre de Lyon. 2020;66–65.

Publication:

«World of Medicine and Biology» Vol. 21 No. 91 (2025) , с. 126-131
УДК 616.98:578.834 COVID-19]-06:616.89-008.45/.48-07-037

DOI:

https://doi.org/10.26724/2079-8334-2025-1-91-126-131