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Neurological Research
A Journal of Progress in Neurosurgery, Neurology and Neurosciences
Volume 45, 2023 - Issue 6
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Research Article

Clinical course and outcome of Covid-19 in patients with myasthenia gravis

, ORCID Icon, , , , , & show all
Pages 583-589 | Received 31 Jul 2022, Accepted 09 Jan 2023, Published online: 22 Jan 2023
 

ABSTRACT

Patients with myasthenia gravis (MG) may be at a greater risk of developing a severe course in coronavirus disease 2019 (Covid-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Objectives

To analyze the prognosis and outcomes of COVID-19 in patients with MG and to determine factors associated with COVID-19 severity in patients with MG.

Methods

Information concerning COVID-19 occurrence in patients with MG was collected in this single-center observational study. Univariate and multivariate analyses were used to identify factors associated with severe Covid-19.

Results

Two hundred seventy-five of the 386 records of MG were included in this study. Eighty-two (29.8%) patients had concurrent COVID-19 . The patients’ mean age was 50.3 ± 1.6 years, and the mean duration of MG was 6.7 ± 5.4 years. MG was diagnosed after COVID-19 in five cases. Covid-19 was mild in 45 patients (54.9%), moderate in 23 (28.1%), and severe in 14 (17.07%), while mortality occurred in four of the severe cases (4.9%). Three of the exitus patients were receiving rituximab therapy. Pre-Covid MG Activity of Daily Living (MG-ADL) severity scores were significantly high in severe cases. A history of myasthenic crisis was also higher in severe cases. Similarly, univariate and multivariate analyses revealed an association between severe COVID-19 and myasthenic crisis history and high pre-Covid MG-ADL. The type of MG treatment had no independent effect on COVID-19 severity.

Conclusion

The vast majority of the MG patients made a good recovery from Covid-19. The risk of severe COVID-19 is high in patients with high MG-ADL severity scores and a history of myasthenic crisis.

Acknowledgments

The authors would like to thank Ece Boz, Meryem Altuntas, Sevda Genc and Irem Sahan for their valuable contributions to the data management.

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

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