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Postcovid amiostatic syndrome = Постковідний аміостатичний синдром

Authors: Khubetova, I. V.;

Postcovid amiostatic syndrome = Постковідний аміостатичний синдром

Abstract

Khubetova I. V. Postcovid amiostatic syndrome = Постковідний аміостатичний синдром. Вісник морської медицини / 2022;3(96):9-12. ISSN 2707-1324 DOI http://dx.doi.org/10.5281/zenodo.7317890 УДК 616.98:578.834.1-06:616.831-002]-097 DOI http://dx.doi.org/10.5281/zenodo.7317890 І. В. Хубетова ПОСТКОВІДНИЙ АМІОСТАТИЧНИЙ СИНДРОМ Одеська обласна клінічна лікарня Summary. Khubetova I. V. POSTCOVID AMIOSTATIC SYNDROME. - Оdessa Regional Clinical Hospital, e-mail: hubrina58@gmail.com. A clinical case of post-COVID amiostatistical syndrome associated with autoimmune anti-NMDAR encephalitis with lesions of basal nuclei was induced. Analysis of the disease progression, clinical efficacy of the non-competitive NMDA receptor antagonist amantadine. The importance of timely verification of diagnostic tests is emphasized. There was demonstrated than an early onset of treatment of autoimmune post-covid anti-NMDAR encephalitis allows to minimize unfavorable results and improve clinical prognosis. Key words: coronavirus infection, anti-NMDAR encephalitis, akinetic-rigid syndrome, Реферат. Хубетова І. В. ПОСТКОВІДНИЙ АМІОСТАТИЧНИЙ СИНДРОМ Наведено клінічний випадок постковідного аміостатистичного синдрома, асоційованого з аутоімунним анти - NMDAR енцефалітом з ураженням підкіркових (базальних) ядер. Проаналізований перебіг захворювання та клінічна ефективність застосування неконкурентного антагоніста NMDA рецепторів – амантадину. Підкреслюється важливість своєчасного виконання верифікуючих діагностичних тестів і якомога раніший початок лікування аутоімунного постковидного анти - NMDAR енцефаліту, що дозволяє мінімізувати несприятливи результати і покращити клінічний прогноз. Ключові слова: коронавірусна інфекція, анти-NMDAR енцефаліт.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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