Predictors of Acute Encephalopathy in Patients with COVID-19

Introduction: The majority of patients with severe COVID-19 suffer from delirium as the main sign of encephalopathy associated with this viral infection. The aim of this study was to identify early markers of the development of this condition. Materials: The prospective cohort-based study included p...

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Autores principales:	Oleg I. Vinogradov, Tatyana K. Ogarkova, Kamila V. Shamtieva, Pavel V. Alexandrov, Astanda V. Mushba, Daria S. Kanshina, Daria V. Yakovleva, Maria A. Surma, Ilia S. Nikolaev, Nadezhda Kh. Gorst
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	COVID-19 SARS-CoV-2 delirium encephalopathy Medicine R
Acceso en línea:	https://doaj.org/article/0af4f31eedf143449e25ea366ff55fb8
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spelling	oai:doaj.org-article:0af4f31eedf143449e25ea366ff55fb82021-11-11T17:29:34ZPredictors of Acute Encephalopathy in Patients with COVID-1910.3390/jcm102148212077-0383https://doaj.org/article/0af4f31eedf143449e25ea366ff55fb82021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/4821https://doaj.org/toc/2077-0383Introduction: The majority of patients with severe COVID-19 suffer from delirium as the main sign of encephalopathy associated with this viral infection. The aim of this study was to identify early markers of the development of this condition. Materials: The prospective cohort-based study included patients with community-acquired pneumonia and confirmed pulmonary tissue infiltration based on CT data, with a lesion consisting of at least 25% of one lung. The main group included patients who have developed acute encephalopathy (10 patients, 3 (30%) women; average age, 47.9 ± 7.3 years). The control group included patients who at discharge did not have acute encephalopathy (20 patients, 11 (55%) women; average age, 51.0 ± 10.5 years). The study collected clinical examination data, comprehensive laboratory data, neurophysiological data, pulse oximetry and CT data to identify the predictors of acute encephalopathy (study ClinicalTrials.gov identifier NCT04405544). Results: Data analysis showed a significant relationship between encephalopathy with the degree of lung tissue damage, arterial hypertension, and type 2 diabetes mellitus, as well as with D-dimer, LDH, and lymphopenia. Conclusions: The development of encephalopathy is secondary to the severity of the patient’s condition since a more severe course of the coronavirus infection leads to hypoxic brain damage.Oleg I. VinogradovTatyana K. OgarkovaKamila V. ShamtievaPavel V. AlexandrovAstanda V. MushbaDaria S. KanshinaDaria V. YakovlevaMaria A. SurmaIlia S. NikolaevNadezhda Kh. GorstMDPI AGarticleCOVID-19SARS-CoV-2deliriumencephalopathyMedicineRENJournal of Clinical Medicine, Vol 10, Iss 4821, p 4821 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 SARS-CoV-2 delirium encephalopathy Medicine R
spellingShingle	COVID-19 SARS-CoV-2 delirium encephalopathy Medicine R Oleg I. Vinogradov Tatyana K. Ogarkova Kamila V. Shamtieva Pavel V. Alexandrov Astanda V. Mushba Daria S. Kanshina Daria V. Yakovleva Maria A. Surma Ilia S. Nikolaev Nadezhda Kh. Gorst Predictors of Acute Encephalopathy in Patients with COVID-19
description	Introduction: The majority of patients with severe COVID-19 suffer from delirium as the main sign of encephalopathy associated with this viral infection. The aim of this study was to identify early markers of the development of this condition. Materials: The prospective cohort-based study included patients with community-acquired pneumonia and confirmed pulmonary tissue infiltration based on CT data, with a lesion consisting of at least 25% of one lung. The main group included patients who have developed acute encephalopathy (10 patients, 3 (30%) women; average age, 47.9 ± 7.3 years). The control group included patients who at discharge did not have acute encephalopathy (20 patients, 11 (55%) women; average age, 51.0 ± 10.5 years). The study collected clinical examination data, comprehensive laboratory data, neurophysiological data, pulse oximetry and CT data to identify the predictors of acute encephalopathy (study ClinicalTrials.gov identifier NCT04405544). Results: Data analysis showed a significant relationship between encephalopathy with the degree of lung tissue damage, arterial hypertension, and type 2 diabetes mellitus, as well as with D-dimer, LDH, and lymphopenia. Conclusions: The development of encephalopathy is secondary to the severity of the patient’s condition since a more severe course of the coronavirus infection leads to hypoxic brain damage.
format	article
author	Oleg I. Vinogradov Tatyana K. Ogarkova Kamila V. Shamtieva Pavel V. Alexandrov Astanda V. Mushba Daria S. Kanshina Daria V. Yakovleva Maria A. Surma Ilia S. Nikolaev Nadezhda Kh. Gorst
author_facet	Oleg I. Vinogradov Tatyana K. Ogarkova Kamila V. Shamtieva Pavel V. Alexandrov Astanda V. Mushba Daria S. Kanshina Daria V. Yakovleva Maria A. Surma Ilia S. Nikolaev Nadezhda Kh. Gorst
author_sort	Oleg I. Vinogradov
title	Predictors of Acute Encephalopathy in Patients with COVID-19
title_short	Predictors of Acute Encephalopathy in Patients with COVID-19
title_full	Predictors of Acute Encephalopathy in Patients with COVID-19
title_fullStr	Predictors of Acute Encephalopathy in Patients with COVID-19
title_full_unstemmed	Predictors of Acute Encephalopathy in Patients with COVID-19
title_sort	predictors of acute encephalopathy in patients with covid-19
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0af4f31eedf143449e25ea366ff55fb8
work_keys_str_mv	AT olegivinogradov predictorsofacuteencephalopathyinpatientswithcovid19 AT tatyanakogarkova predictorsofacuteencephalopathyinpatientswithcovid19 AT kamilavshamtieva predictorsofacuteencephalopathyinpatientswithcovid19 AT pavelvalexandrov predictorsofacuteencephalopathyinpatientswithcovid19 AT astandavmushba predictorsofacuteencephalopathyinpatientswithcovid19 AT dariaskanshina predictorsofacuteencephalopathyinpatientswithcovid19 AT dariavyakovleva predictorsofacuteencephalopathyinpatientswithcovid19 AT mariaasurma predictorsofacuteencephalopathyinpatientswithcovid19 AT iliasnikolaev predictorsofacuteencephalopathyinpatientswithcovid19 AT nadezhdakhgorst predictorsofacuteencephalopathyinpatientswithcovid19
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Predictors of Acute Encephalopathy in Patients with COVID-19

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