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Analysis of Neuroimaging in COVID-19 Patients - A Correlation Between Lung Severity and Brain Findings
European Journal of Molecular and Clinical Medicine ; 9(7):2315-2324, 2022.
Article in English | EMBASE | ID: covidwho-2111928
ABSTRACT

Background:

Corona virus emerged in China in December 2019 and quickly spread over the world, causing a pandemic. The probable link between the occurrence of neurological abnormalities and the CT severity score (CTSS) in COVID-19 participants is less understood. The purpose of this study was to look at the neurological symptoms of COVID-19 on CT head and determine whether there was a link between thorax and brain imaging abnormalities in COVID-19 patients. Method(s) Total 135 Hospitalized COVID positive patients with acute neurological symptoms underwent both CT head and CT thorax during their hospital stay were included in the study. All the patients with neuroimaging were divided into 2 groups first being patients with acute neuroimaging findings and the second being the patients with chronic/normal neuroimaging findings. Result(s) The most common CT head imaging findings in these individuals were acute ischemic infarcts in 54 (40%) and acute intracranial haemorrhage in 8 (6%). When compared to individuals with normal/chronic neurological results, a greater mean chest CTSS was found in patients with acute abnormalities on CT head (14.1 [SD-3.2] versus 6.5 [SD-3.3]). However, no statistical correlation could be shown between a greater CTSS and the occurrence of acute neurological disorders. Conclusion(s) There was no link between a greater CTSS and the occurrence of neurological disorders on CT scans. As a result, increased lung involvement severity may not be a good predictor of brain involvement in COVID patients. Copyright © 2022 Ubiquity Press. All rights reserved.
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Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article