Authors
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Shahrzad Nazari, Amirhossein Azari Jafari, Seyyedmohammadsadeq Mirmoeeni, Saeid Sadeghian, Mohammad Eghbal Heidari, Siavash Sadeghian, Farhad Asarzadegan, Seyed Mahmoud Puormand, Katayoun Alikhani, Hamid Ebadi, Davood Fathi, Sahar Dalvand -More
Category
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Systematic review
Pre-print»medRxiv
Year
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2020
BackgroundAt the end of December 2019, a novel respiratory infection, initially reported in China, known as COVID-19 initially reported in China, and later known as COVID-19, led to a global pandemic. Despite many studies reporting respiratory infections as the primary manifestations of this illness, an increasing number of investigations have focused on the central nervous system (CNS) manifestations in COVID-19. In this study, we aimed to evaluate the CNS presentations in COVID-19 patients in an attempt to identify the common CNS features and provide a better overview to tackle this new pandemic.
MethodsIn this systematic review and meta-analysis, we searched PubMed, Web of Science, Ovid, Embase, Scopus, and Google Scholar. Included studies were publications that reported the CNS features between January 1st, 2020, to April 20th, 2020. The data of selected studies were screened and extracted independently by four reviewers. Extracted data analyzed by using STATA statistical software. The study protocol registered with PROSPERO (CRD42020184456).
ResultsOf 2353 retrieved studies, we selected 64 studies with 11282 patients after screening. Most of the studies were conducted in China (58 studies). The most common CNS symptom of COVID-19 were Headache (8.69%, 95%CI: 6.76%-10.82%), Dizziness (5.94%, 95%CI: 3.66%-8.22%), and Impaired consciousness (1.9%, 95%CI: 1%-2.79%).
ConclusionsThe growing number of studies have reported COVID-19, CNS presentations as remarkable manifestations that happen. Hence, understanding the CNS characteristics of COVID-19 can help us for better diagnosis and ultimately prevention of worse outcomes.
The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license
Epistemonikos ID: 762adc5ececd2fe0c55f9a0297dff288ab93dbdc
First added on: Jul 22, 2020