Consider differentials before diagnosing COVID-19 associated polyradiculitis.


Journal

European journal of translational myology
ISSN: 2037-7452
Titre abrégé: Eur J Transl Myol
Pays: Italy
ID NLM: 101576208

Informations de publication

Date de publication:
05 Jan 2022
Historique:
received: 12 09 2021
accepted: 23 12 2021
pubmed: 11 1 2022
medline: 11 1 2022
entrez: 10 1 2022
Statut: epublish

Résumé

Evidence is accumulating that SARS-CoV-2 infections and SARS-CoV-2 vaccinations can induce Guillain-Barre syndrome (GBS). More than 400 GBS cases after SARS-CoV-2 infection respectively vaccination have been reported as per the end of 2021. GBS is usually diagnosed according to the Brighton criteria, but also the Besta criteria or Hadden criteria are applied. The diagnosis can be supported by MRI with contrast medium of the cranial or spinal nerves showing enhancing nerve roots. As GBS can be complicated by autonomic dysfunction such as pupillary abnormalities, salivatory dysfunction, reduced heart rate variability, bowel disturbance (constipation, diarrhea), urinary hesitancy, urinary retention, or impotence, it is crucial to investigate GBS patients for autonomic involvement. Before diagnosing GBS various differentials need to be excluded, including neuropathy as a side effect of the anti-SARS-CoV-2 medication, critical ill neuropathy in COVID-19 patients treated on the ICU, and compression neuropathy in COVID-19 patients requiring long-term ventilation.

Identifiants

pubmed: 35000350
doi: 10.4081/ejtm.2022.10111
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Josef Finsterer (J)

Neurology and Neurophysiology Center, Vienna. fifigs1@yahoo.de.

Fulvio Alexandre Scorza (FA)

Neurocience Department. Federal University of São Paulo (UNIFESP). São Paulo. scorza@unifesp.br.

Carla Alessandra Scorza (CA)

Phonoaudiology Department, Federal University of São Paulo (UNIFESP), Sao Paulo. carlascorza.nexp@gmail.com.

Ana Claudia Fiorini (AC)

Phonoaudiology Department, Federal University of São Paulo (UNIFESP), Sao Paulo. acfiorini@pucsp.br.

Classifications MeSH