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PURPOSE: Our objective is to describe the most prevalent electroencephalographic findings in COVID-19 hospitalized patients, and to determine possible predictors of mortality including EEG and clinical variables. METHODS: A multicentric prospective observational study in patients with COVID-19 requiring EEG during hospitalization. RESULTS: We found 94 EEG from 62 patients (55 % men, mean age 59.7 ± 17.8 years) were analyzed. Most frequent comorbidity was cardiac (52 %), followed by metabolic (45 %) and CNS disease (39 %). Patients required ICU management by 60 %, with a mortality of 27 % in the whole cohort. The most frequent EEG finding was generalized continuous slow-wave activity (66 %). Epileptic activity was observed in 19 % including non-convulsive status epilepticus, seizures and interictal epileptiform discharges. Periodic patterns were observed in 3 patients (3.2 %). Multivariate analysis found that cancer comorbidity and requiring an EEG during the third week of evolution portended a higher risk of mortality CONCLUSION: We observed that the most prevalent EEG finding in this cohort was generalized continuous slow-wave activity, while epileptic activity was observed in less than 20 % of the cases. Mortality risk factors were comorbidity with cancer and requiring an EEG during the third week of evolution, possibly related to the hyperinflammatory state.
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10.1016/j.seizure.2020.10.007
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document_parses/pdf_json/f0f76b644dac3729c00fa41f0af0a42f5f3d6a26.json; document_parses/pdf_json/8ce6176ae3a95148bae4e2fbf9a42088e268296e.json
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document_parses/pmc_json/PMC7553125.xml.json
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EEG findings and clinical prognostic factors associated with mortality in a prospective cohort of inpatients with COVID-19
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