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Electroencephalographic Abnormalities are Common in COVID-19 and are Associated with Outcomes.
Lin, Lu; Al-Faraj, Abrar; Ayub, Neishay; Bravo, Pablo; Das, Sudeshna; Ferlini, Lorenzo; Karakis, Ioannis; Lee, Jong Woo; Mukerji, Shibani S; Newey, Christopher R; Pathmanathan, Jay; Abdennadher, Myriam; Casassa, Charles; Gaspard, Nicolas; Goldenholz, Daniel M; Gilmore, Emily J; Jing, Jin; Kim, Jennifer A; Kimchi, Eyal Y; Ladha, Harshad S; Tobochnik, Steven; Zafar, Sahar; Hirsch, Lawrence J; Westover, M Brandon; Shafi, Mouhsin M.
  • Lin L; Beth Israel Deaconess Medical Center, Department of Neurology, Harvard Medical School, Boston, MA.
  • Al-Faraj A; Boston Medical Center, Department of Neurology, Boston, MA.
  • Ayub N; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Bravo P; Department of Neurology, Yale University, New Haven, CT.
  • Das S; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Ferlini L; Hôspital Erasme, Département de Neurologie, Université Libre de Bruxelles, Bruxelles, Belgium.
  • Karakis I; Department of Neurology, Emory University, Atlanta, GA.
  • Lee JW; Brigham and Women's Hospital, Department of Neurology, Harvard Medical School, Boston, , MA.
  • Mukerji SS; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Newey CR; Department of Neurology, Cleveland Clinic, Cleveland, OH.
  • Pathmanathan J; Department of Neurology, University of Pennsylvania, Philadelphia, PA.
  • Abdennadher M; Boston Medical Center, Department of Neurology, Boston, MA.
  • Casassa C; Beth Israel Deaconess Medical Center, Department of Neurology, Harvard Medical School, Boston, MA.
  • Gaspard N; Department of Neurology, Yale University, New Haven, CT.
  • Goldenholz DM; Hôspital Erasme, Département de Neurologie, Université Libre de Bruxelles, Bruxelles, Belgium.
  • Gilmore EJ; Beth Israel Deaconess Medical Center, Department of Neurology, Harvard Medical School, Boston, MA.
  • Jing J; Department of Neurology, Yale University, New Haven, CT.
  • Kim JA; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Kimchi EY; Department of Neurology, Yale University, New Haven, CT.
  • Ladha HS; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Tobochnik S; Department of Neurology, Emory University, Atlanta, GA.
  • Zafar S; Brigham and Women's Hospital, Department of Neurology, Harvard Medical School, Boston, , MA.
  • Hirsch LJ; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
  • Westover MB; Department of Neurology, Yale University, New Haven, CT.
  • Shafi MM; Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, MA.
Ann Neurol ; 89(5): 872-883, 2021 05.
Article in English | MEDLINE | ID: covidwho-1148790
ABSTRACT

OBJECTIVE:

The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID-19) undergoing clinically indicated continuous electroencephalogram (cEEG) monitoring and to assess whether EEG findings are associated with outcomes.

METHODS:

We identified 197 patients with COVID-19 referred for cEEG at 9 participating centers. Medical records and EEG reports were reviewed retrospectively to determine the incidence of and clinical risk factors for seizures and other epileptiform patterns. Multivariate Cox proportional hazards analysis assessed the relationship between EEG patterns and clinical outcomes.

RESULTS:

Electrographic seizures were detected in 19 (9.6%) patients, including nonconvulsive status epilepticus (NCSE) in 11 (5.6%). Epileptiform abnormalities (either ictal or interictal) were present in 96 (48.7%). Preceding clinical seizures during hospitalization were associated with both electrographic seizures (36.4% in those with vs 8.1% in those without prior clinical seizures, odds ratio [OR] 6.51, p = 0.01) and NCSE (27.3% vs 4.3%, OR 8.34, p = 0.01). A pre-existing intracranial lesion on neuroimaging was associated with NCSE (14.3% vs 3.7%; OR 4.33, p = 0.02). In multivariate analysis of outcomes, electrographic seizures were an independent predictor of in-hospital mortality (hazard ratio [HR] 4.07 [1.44-11.51], p < 0.01). In competing risks analysis, hospital length of stay increased in the presence of NCSE (30 day proportion discharged with vs without NCSE HR 0.21 [0.03-0.33] vs 0.43 [0.36-0.49]).

INTERPRETATION:

This multicenter retrospective cohort study demonstrates that seizures and other epileptiform abnormalities are common in patients with COVID-19 undergoing clinically indicated cEEG and are associated with adverse clinical outcomes. ANN NEUROL 2021;89872-883.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Seizures / Electroencephalography / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Ann Neurol Year: 2021 Document Type: Article Affiliation country: Ana.26060

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Seizures / Electroencephalography / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Ann Neurol Year: 2021 Document Type: Article Affiliation country: Ana.26060