Epilepsy diagnosis after Covid-19: A population-wide study

Westman, Gabriel; Zelano, Johan

doi:10.1016/j.seizure.2022.07.005

Cited by 9 publications

(11 citation statements)

References 16 publications

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“…It was found that among 1,221,801 SARS-CoV-2 infected patients the seizure frequency was not significantly increased compared to an age-and sex-matched control cohort [1]. However, when focusing only on the age groups 60-80 years and 81-100 years, seizure frequency increased in these two age groups compared to controls [1]. It was concluded that considering the potential non-controllable bias and that COVID-19 patients on the intensive care unit (ICU) present with a lower risk of seizures than the general ICU population, the virus-induced epileptogenic effect is likely very small [1].…”

Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 83%

“…However, when focusing only on the age groups 60-80 years and 81-100 years, seizure frequency increased in these two age groups compared to controls [1]. It was concluded that considering the potential non-controllable bias and that COVID-19 patients on the intensive care unit (ICU) present with a lower risk of seizures than the general ICU population, the virus-induced epileptogenic effect is likely very small [1]. The study is promising but raises concerns that should be discussed.…”

Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 86%

“…Letter to the Editor We read with interest the article by Westman et\xA0al. about the seizure frequency among Swedish patients with an acute SARS-CoV-2 infection [1]. It was found that among 1,221,801 SARS-CoV-2 infected patients the seizure frequency was not significantly increased compared to an age-and sex-matched control cohort [1].…”

Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 99%

“…We read with interest the article by Westman et al about the seizure frequency among Swedish patients with an acute SARS-CoV-2 infection [1] . It was found that among 1,221,801 SARS-CoV-2 infected patients the seizure frequency was not significantly increased compared to an age- and sex-matched control cohort [1] . However, when focusing only on the age groups 60-80 years and 81-100 years, seizure frequency increased in these two age groups compared to controls [1] .…”

mentioning

confidence: 99%

“…A further limitation of the study is that only four co-variates, the confounding comorbidities ischemic stroke, traumatic brain injury, and mechanical ventilation were used for Cox regression to assess the risk of epilepsy [1] . Neurological complications of the central nervous system (CNS) after a SARS-coV-2 infection are much more widespread and additionally include venous sinus thrombosis (VST), intracerebral bleeding (ICB), subarachnoid bleeding (SAB), acute, disseminated encephalomyelitis (ADEM), acute, hemorrhagic, necrotizing encephalopathy (AHNE), acute, hemorrhagic leukoencephalitis (AHLE), immune encephalitis, rhombencephalitis, ventriculitis, cerebellitis, hypophysitis, and reversible, cerebral vasoconstriction syndrome (RCVS) [4] .…”

mentioning

confidence: 99%

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Frequency of new seizures after SARS-CoV-2 infections may depend on the length of follow-up

Finsterer¹

2023

Seizure: European Journal of Epilepsy

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Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 83%

Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 86%

Section: Seizures Epilepsy Muscle Side Effectmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Frequency of new seizures after SARS-CoV-2 infections may depend on the length of follow-up

Finsterer¹

2023

Seizure: European Journal of Epilepsy

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Mendelian randomization reveals no causal relationship between COVID‐19 susceptibility, hospitalization, or severity and epilepsy

He,

Li,

Liu

et al. 2023

Epilepsia Open

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ObjectiveObservational studies have shown an association between COVID‐19 and epilepsy. However, causality remains unproven. This study aimed to investigate the causative effect of genetically predicted COVID‐19 phenotypes on epilepsy risk using a two‐sample Mendelian randomization (MR) analysis.MethodsWe retrieved summary‐level datasets for three COVID‐19 phenotypes (COVID‐19 susceptibility, COVID‐19 hospitalization, and COVID‐19 severity) and epilepsy from the genome‐wide association studies conducted by the COVID‐19 Host Genetics Initiative (COVID‐19 HGI) and International League Against Epilepsy (ILAE) consortium, respectively. To analyze the final results, nine MR analytic methods were utilized. The inverse‐variance weighted (IVW) method was chosen as the primary approach for data analysis to evaluate the potential causal effect. Other MR analytic methods (MR‐Egger regression, weighted median estimator, mode based‐estimator, and MR‐PRESSO) were used as a supplement to IVW to ensure the robustness of the results.ResultsThe IVW approach demonstrated no causal association between any genetically predicted COVID‐19 phenotype and the risk of epilepsy [COVID‐19 susceptibility: odds ratio (OR) = 0.99, 95% confidence interval (CI) = 0.86 ‐ 1.14, p = 0.92; COVID‐19 hospitalization: OR = 1.00, 95% CI = 0.96 ‐ 1.04, p = 0.95; COVID‐19 severity: OR = 0.99, 95% CI = 0.96 ‐ 1.01, p = 0.25]. Other MR complementary methods revealed consistent results. Additionally, no evidence for heterogeneity and horizontal pleiotropy was found.SignificanceThis MR study revealed no genetically predicted causal relationship between COVID‐19 phenotypes and epilepsy.

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