Psychoemotional state and bioelectrical brain activity in patients of different ages with metabolic syndrome after COVID-19

Authors

DOI:

https://doi.org/10.14739/2310-1210.2023.3.269483

Keywords:

psycho-emotional status, bioelectrical brain activity, COVID-19, metabolic syndrome, HADS scale, electroencephalography

Abstract

The aim of this study was to find out the impact of COVID-19 infection on the psycho-emotional state and bioelectrical brain activity in persons of different ages with metabolic syndrome.

Material and methods. We examined 53 people who were divided into groups depending on age (40–59 years and 60 years and older) and status with regard to COVID-19 infection (contracted, not contracted). Patients had metabolic syndrome (ATP III), underwent comprehensive clinical and laboratory examinations, electroencephalography (an 18-channel electroencephalograph Nihon Kohden, Japan) and answered the Hospital Anxiety and Depression Scale (HADS) questionnaire.

Results. Symptoms of anxiety or depression after COVID-19 were found in both age groups of MS. Anxiety symptoms were more often found in the group of 60 years and older. At the same time, subclinical anxiety was noted in persons of 60 years and older, while clinical anxiety – in middle-aged individuals. The latter also showed a trend towards an increase in clinically evident depression after COVID-19. Persons after COVID-19 with symptoms of anxiety or depression (according to the HADS scale) demonstrated changes in the frequency-amplitude indicators of the electroencephalogram (EEG) characterized by a power increase in the range of theta rhythm and accompanied by subclinical and clinical manifestations of depression. About 80 % of people who did not suffer from COVID-19 had normal EEG since 9 Hz alpha rhythm power was registered. In patients after COVID-19, there was a redistribution of alpha-rhythm power range: an increase in the ranges of alpha-1 rhythm and decrease in alpha-2 rhythm power as well as an increase in the delta and theta rhythm power range.

Conclusions. 1–3 months following the acute period of COVID-19, the frequency of depression is 3 times higher in middle-aged patients with metabolic syndrome. In elderly patients with metabolic syndrome after COVID-19, anxiety is predominantly diagnosed – almost in every second. These manifestations of anxiety and depression are accompanied by disorganization of the bioelectrical brain activity.

Author Biographies

V. P. Chyzhova, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, DSc, Chief Researcher of the Department of Clinical Physiology and Pathology of Internal Organs, therapist of the General Therapeutic Department

O. V. Korkushko, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, DSc, Professor, Academician of the NAMS of Ukraine, Honored Worker of Science and Engineering of Ukraine, Chief Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

V. B. Shatylo, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, DSc, Professor, Head of the Department of Clinical Physiology and Pathology of Internal Organs

A. V. Pysaruk, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Ukraine, Kyiv

MD, PhD, DSc, Head of the Laboratory of Mathematical Modeling of Aging Processes

V. V. Kuznietsov, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, DSc, Professor, Chief Researcher of the Department of Brain Vascular Pathology, neuropathologist

O. H. Skrypchenko, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, Senior Researcher of the Department of Brain Vascular Pathology, psychotherapist of the General Clinical Department

T. I. Kovtonyuk, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

Junior Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

I. A. Samots, State Institution “D. F. Chebotarev Institute of Gerontology of the NAMS of Ukraine”, Kyiv

Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

References

Illi, B., Vasapollo, B., Valensise, H., & Totta, P. (2021). SARS-CoV-2, Endothelial Dysfunction, and the Renin-Angiotensin System (RAS): A Potentially Dangerous Triad for the Development of Pre-Eclampsia. Reproductive Medicine, 2(2), 95-106. https://doi.org/10.3390/reprodmed2020010

Zheng, M., Gao, Y., Wang, G., Song, G., Liu, S., Sun, D., Xu, Y., & Tian, Z. (2020). Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cellular & molecular immunology, 17(5), 533-535. https://doi.org/10.1038/s41423-020-0402-2

Hsu, P. C., & Shahed-Al-Mahmud, M. (2022). SARS-CoV-2 mediated neurological disorders in COVID-19: Measuring the pathophysiology and immune response. Life sciences, 308, 120981. https://doi.org/10.1016/j.lfs.2022.120981

Niu, J., Shen, L., Huang, B., Ye, F., Zhao, L., Wang, H., Deng, Y., & Tan, W. (2020). Non-invasive bioluminescence imaging of HCoV-OC43 infection and therapy in the central nervous system of live mice. Antiviral research, 173, 104646. https://doi.org/10.1016/j.antiviral.2019.104646

Wu, Y., Xu, X., Chen, Z., Duan, J., Hashimoto, K., Yang, L., Liu, C., & Yang, C. (2020). Nervous system involvement after infection with COVID-19 and other coronaviruses. Brain, behavior, and immunity, 87, 18-22. https://doi.org/10.1016/j.bbi.2020.03.031

Zhao, Y., Zhao, Z., Wang, Y., Zhou, Y., Ma, Y., & Zuo, W. (2020). Single-Cell RNA Expression Profiling of ACE2, the Receptor of SARS-CoV-2. American journal of respiratory and critical care medicine, 202(5), 756-759. https://doi.org/10.1164/rccm.202001-0179LE

Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., Guan, L., Wei, Y., Li, H., Wu, X., Xu, J., Tu, S., Zhang, Y., Chen, H., & Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet, 395(10229), 1054-1062. https://doi.org/10.1016/S0140-6736(20)30566-3

Bolay, H., Gül, A., & Baykan, B. (2020). COVID-19 is a Real Headache!. Headache, 60(7), 1415-1421. https://doi.org/10.1111/head.13856

Bereczki, D., Stang, R., Böjti, P., & Kovács, T. (2020). A SARS-CoV-2 koronavírus által okozott COVID-19-járvány neurológiai vonatkozásai [Neurological aspects of the COVID-19 pandemic caused by the SARS-CoV-2 coronavirus]. Ideggyogyaszati szemle, 73(05-06), 171-175. https://doi.org/10.18071/isz.73.0171

Borges do Nascimento, I. J., Cacic, N., Abdulazeem, H. M., von Groote, T. C., Jayarajah, U., Weerasekara, I., Esfahani, M. A., Civile, V. T., Marusic, A., Jeroncic, A., Carvas Junior, N., Pericic, T. P., Zakarija-Grkovic, I., Meirelles Guimarães, S. M., Luigi Bragazzi, N., Bjorklund, M., Sofi-Mahmudi, A., Altujjar, M., Tian, M., Arcani, D. M. C., … Marcolino, M. S. (2020). Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis. Journal of clinical medicine, 9(4), 941. https://doi.org/10.3390/jcm9040941

Galanopoulou, A. S., Ferastraoaru, V., Correa, D. J., Cherian, K., Duberstein, S., Gursky, J., Hanumanthu, R., Hung, C., Molinero, I., Khodakivska, O., Legatt, A. D., Patel, P., Rosengard, J., Rubens, E., Sugrue, W., Yozawitz, E., Mehler, M. F., Ballaban-Gil, K., Haut, S. R., Moshé, S. L., … Boro, A. (2020). EEG findings in acutely ill patients investigated for SARS-CoV-2/COVID-19: A small case series preliminary report. Epilepsia open, 5(2), 314-324. https://doi.org/10.1002/epi4.12399

Kubota, T., Gajera, P. K., & Kuroda, N. (2021). Meta-analysis of EEG findings in patients with COVID-19. Epilepsy & behavior : E&B, 115, 107682. https://doi.org/10.1016/j.yebeh.2020.107682

Karachentsev, Yu. I., & Dunaieva, I. P. (2017). Tsukrovyi diabet 2 typu ta ishemichna khvoroba sertsia [Type 2 diabetes mellitus and coronary heart disease]. Kharkiv: Vodnyi spektr Dzhi-Em-Pi [in Ukrainian].

Antony, A. R., & Haneef, Z. (2020). Systematic review of EEG findings in 617 patients diagnosed with COVID-19. Seizure, 83, 234-241. https://doi.org/10.1016/j.seizure.2020.10.014

Li, G., Lee, C. H., Jung, J. J., Youn, Y. C., & Camacho, D. (2020). Deep learning for EEG data analytics: A survey. In Concurrency and Computation: Practice and Experience (Vol. 32). John Wiley and Sons Ltd. https://doi.org/10.1002/cpe.5199

Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta psychiatrica Scandinavica, 67(6), 361-370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x

Bjelland, I., Dahl, A. A., Haug, T. T., & Neckelmann, D. (2002). The validity of the Hospital Anxiety and Depression Scale. An updated literature review. Journal of psychosomatic research, 52(2), 69-77. https://doi.org/10.1016/s0022-3999(01)00296-3

Djukanovic, I., Carlsson, J., & Årestedt, K. (2017). Is the Hospital Anxiety and Depression Scale (HADS) a valid measure in a general population 65-80 years old? A psychometric evaluation study. Health and quality of life outcomes, 15(1), 193. https://doi.org/10.1186/s12955-017-0759-9

Hall, P. A., Sheeran, P., Fong, G. T., Cheah, C. S. L., Oremus, M., Liu-Ambrose, T., Sakib, M. N., Butt, Z. A., Ayaz, H., Jandu, N., & Morita, P. P. (2021). Biobehavioral Aspects of the COVID-19 Pandemic: A Review. Psychosomatic medicine, 83(4), 309-321. https://doi.org/10.1097/PSY.0000000000000932

Liu, C., Pan, W., Li, L., Li, B., Ren, Y., & Ma, X. (2021). Prevalence of depression, anxiety, and insomnia symptoms among patients with COVID-19: A meta-analysis of quality effects model. Journal of psychosomatic research, 147, 110516. https://doi.org/10.1016/j.jpsychores.2021.110516

Shanbehzadeh, S., Tavahomi, M., Zanjari, N., Ebrahimi-Takamjani, I., & Amiri-Arimi, S. (2021). Physical and mental health complications post-COVID-19: Scoping review. Journal of psychosomatic research, 147, 110525. https://doi.org/10.1016/j.jpsychores.2021.110525

Van den Besselaar, J. H., MacNeil Vroomen, J. L., Buurman, B. M., Hertogh, C. M. P. M., Huisman, M., Kok, A. A. L., & Hoogendijk, E. O. (2021). Symptoms of depression, anxiety, and perceived mastery in older adults before and during the COVID-19 pandemic: Results from the Longitudinal Aging Study Amsterdam. Journal of psychosomatic research, 151, 110656. https://doi.org/10.1016/j.jpsychores.2021.110656

Vincent, A., Beck, K., Becker, C., Zumbrunn, S., Ramin-Wright, M., Urben, T., Quinto, A., Schaefert, R., Meinlschmidt, G., Gaab, J., Reinhardt, T., Bassetti, S., Schuetz, P., & Hunziker, S. (2021). Psychological burden in patients with COVID-19 and their relatives 90 days after hospitalization: A prospective observational cohort study. Journal of psychosomatic research, 147, 110526. https://doi.org/10.1016/j.jpsychores.2021.110526

Al Maqbali, M., Al Sinani, M., & Al-Lenjawi, B. (2021). Prevalence of stress, depression, anxiety and sleep disturbance among nurses during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of psychosomatic research, 141, 110343. https://doi.org/10.1016/j.jpsychores.2020.110343

Fernández-de-Las-Peñas, C., Rodríguez-Jiménez, J., Palacios-Ceña, M., de-la-Llave-Rincón, A. I., Fuensalida-Novo, S., Florencio, L. L., Ambite-Quesada, S., Ortega-Santiago, R., Arias-Buría, J. L., Liew, B. X. W., Hernández-Barrera, V., & Cigarán-Méndez, M. (2022). Psychometric Properties of the Hospital Anxiety and Depression Scale (HADS) in Previously Hospitalized COVID-19 Patients. International journal of environmental research and public health, 19(15), 9273. https://doi.org/10.3390/ijerph19159273

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Published

2023-05-31

How to Cite

1.
Chyzhova VP, Korkushko OV, Shatylo VB, Pysaruk AV, Kuznietsov VV, Skrypchenko OH, Kovtonyuk TI, Samots IA. Psychoemotional state and bioelectrical brain activity in patients of different ages with metabolic syndrome after COVID-19. Zaporozhye Medical Journal [Internet]. 2023May31 [cited 2024Dec.27];25(3):204-1. Available from: http://zmj.zsmu.edu.ua/article/view/269483

Issue

Vol. 25 No. 3 (2023): Zaporozhye medical journal

Section

Original research

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