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Symmetrical polyneuropathy in coronavirus disease 2019 (COVID-19)

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2020 English Publisher:Elsevier BVJournal:IDCases, volume 21, page e00815 (issn: 2214-2509,

Authors: Ghiasvand, Fereshteh; Ghadimi, Maryam; Ghadimi, Fatemeh; Safarpour, Samin; Hosseinzadeh, Roghieh; SeyedAlinaghi, SeyedAhmad;

doi: 10.1016/j.idcr.2020.e00815

pmid: 32514394

pmc: PMC7255269

Symmetrical polyneuropathy in coronavirus disease 2019 (COVID-19)

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Abstract

The outbreak of the novel coronavirus that began in late December 2019 was announced as a pandemic by the World Health Organization as the number of cases is increasing exponentially throughout the globe. We presented a patient with confirmed SARS-CoV-2 pneumonia developing symmetric polyneuropathy. To our knowledge, extrapulmonary clinical presentations of 2019 novel coronavirus disease (COVID-19) have rarely been reported. This case highlights the possible association between SARS-CoV-2 infection and nervous system involvement.

Related Organizations

Johns Hopkins Medicine
United States
Johns Hopkins University School of Medicine
United States
Tehran University of Medical Sciences
Iran (Islamic Republic of)
Iranian Research Center for HIV/AIDS
Iran (Islamic Republic of)

Keywords

Nervous system, SARS-CoV-2, COVID-19, Pneumonia, Infectious and parasitic diseases, RC109-216, Article, Infectious Diseases, Polyneuropathy, COVID-19 ; Pneumonia ; Nervous system ; Polyneuropathy ; SARS-CoV-2

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%