Background and purpose
Myasthenia gravis (MG) patients could be a vulnerable group in the pandemic era of coronavirus 2019 (COVID‐19) mainly due to respiratory muscle weakness, older age and long‐term immunosuppressive treatment. We aimed to define factors predicting the severity of COVID‐19 in MG patients and risk of MG exacerbation during COVID‐19.
Methods
We evaluated clinical features and outcomes after COVID‐19 in 93 MG patients.
Results
Thirty‐five patients (38%) had severe pneumonia and we recorded 10 deaths (11%) due to COVID‐19. Higher forced vital capacity (FVC) values tested before COVID‐19 were shown to be protective against severe infection (95% CI 0.934–0.98) as well as good control of MG measured by the quantified myasthenia gravis score (95% CI 1.047–1.232). Long‐term chronic corticosteroid treatment worsened the course of COVID‐19 in MG patients (95% CI 1.784–111.43) and this impact was positively associated with dosage (
p
= 0.005). Treatment using azathioprine (95% CI 0.448–2.935), mycophenolate mofetil (95% CI 0.91–12.515) and ciclosporin (95% CI 0.029–2.212) did not influence the course of COVID‐19. MG patients treated with rituximab had a high risk of death caused by COVID‐19 (95% CI 3.216–383.971). Exacerbation of MG during infection was relatively rare (15%) and was not caused by remdesivir, convalescent plasma or favipiravir (95% CI 0.885–10.87).
Conclusions
As the most important predictors of severe COVID‐19 in MG patients we identified unsatisfied condition of MG with lower FVC, previous long‐term corticosteroid treatment especially in higher doses, older age, the presence of cancer, and recent rituximab treatment.
Study Objectives
Rapid eye movement (REM) sleep without atonia (RWA) is the main polysomnographic feature of idiopathic REM sleep behavior disorder (iRBD) and is considered to be a promising biomarker predicting conversion to manifested synucleinopathy. Besides conventionally evaluated tonic, phasic and any RWA, we took into consideration also periods, when phasic and tonic RWA appeared simultaneously and we called this activity “mixed RWA.” The study aimed to evaluate different types of RWA, to reveal the most relevant biomarker to the conversion.
Methods
A total of 55 patients with confirmed iRBD were recruited with mean follow-up duration 2.3 ± 0.7 years. Scoring of RWA was based on Sleep Innsbruck Barcelona rules. Positive phenocoversion was ascertained according to standard diagnostic criteria during follow-up. Receiver operator characteristic analysis was applied to evaluate predictive performance of different RWA types.
Results
A total of nine patients (16%) developed neurodegenerative diseases. Yearly phenoconversion rate was 5.5%. Significantly higher amounts of mixed (p = 0.009), tonic (p = 0.020), and any RWA (p = 0.049) were found in converters. Optimal cutoffs differentiating the prediction were 16.4% (sensitivity 88.9; specificity 69.6) for tonic, 4.4% (sensitivity 88.9; specificity 60.9) for mixed, and 36.8% (sensitivity 77.8; specificity 65.2) for any RWA. With area under the curve (AUC) 0.778, mixed RWA has proven to be the best predictive test followed by tonic (AUC 0.749) and any (AUC 0.710).
Conclusions
Mixed, tonic and any RWA may serve as biomarkers predicting the conversion into neurodegenerative disease in iRBD. The best predictive value lies within mixed RWA, thus it should be considered as standard biomarker.
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