Acute Demyelinating Encephalomyelitis (ADEM) in COVID-19 infection: A Case Series

This article has been Reviewed by the following groups

Read the full article

Abstract

Objective

To report three patients infected with COVID-19 with severe respiratory syndrome requiring intubation, who developed acute demyelinating encephalomyelitis (ADEM).

Method

Patient data were obtained from medical records from the North Memorial Health Hospital, Robbinsdale, MN, USA

Results

Three patients (two men and one woman, aged 38 - 63) presented with fatigue, cough and fever leading to development of acute respiratory distress syndrome secondary to COVID-19 infection requiring intubation and ventilatory support. Two patients were unresponsive, one with strong eye deviation to the left and the third patient had severe diffuse weakness. MRI in all patients showed findings consistent with ADEM. CSF showed elevated protein in all patients with normal cell count and no evidence of infection, including negative COVID-19 PCR. All three of the patients received Convalescent plasma therapy for COVID-19. All patients were treated with intravenous corticosteroids and improved, although two responded minimally. Two patients treated with IVIG showed no further improvement.

Conclusion

Neurological complications from COVID-19 are being rapidly recognized. Our three cases highlight the occurrence of ADEM as a postinfectious/immune mediated complication of COVID-19 infection, which may be responsive to corticosteroid treatment. Early recognition of this complication and treatment is important to avoid long term complications.

Article activity feed

  1. SciScore for 10.1101/2020.07.15.20126730: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.