Your browser doesn't support javascript.
The value of EEG attenuation in the prediction of outcome in COVID-19 patients.
Marinelli, Lucio; Pappalardo, Irene; Robba, Chiara; Saitta, Laura; Cabona, Corrado; Battaglini, Denise; Casaleggio, Monia; Bellini, Anna; Ferrari, Alessandra; Brunetti, Iole; Villani, Flavio.
  • Marinelli L; Department of Neuroscience Rehabilitation Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Largo Daneo 3, 16132, Genova, Italy. lucio.marinelli@unige.it.
  • Pappalardo I; IRCCS Ospedale Policlinico San Martino, Division of Clinical Neurophysiology, Genova, Italy. lucio.marinelli@unige.it.
  • Robba C; IRCCS Ospedale Policlinico San Martino, Division of Clinical Neurophysiology, Genova, Italy.
  • Saitta L; IRCCS Ospedale Policlinico San Martino, Anesthesia and Intensive Care Unit, Genova, Italy.
  • Cabona C; Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Genova, Italy.
  • Battaglini D; IRCCS Ospedale Policlinico San Martino, Department of Neuroradiology, Genova, Italy.
  • Casaleggio M; IRCCS Ospedale Policlinico San Martino, Division of Clinical Neurophysiology, Genova, Italy.
  • Bellini A; IRCCS Ospedale Policlinico San Martino, Anesthesia and Intensive Care Unit, Genova, Italy.
  • Ferrari A; Department of Medicine, University of Barcelona, Barcelona, Spain.
  • Brunetti I; IRCCS Ospedale Policlinico San Martino, Division of Clinical Neurophysiology, Genova, Italy.
  • Villani F; IRCCS Ospedale Policlinico San Martino, Division of Clinical Neurophysiology, Genova, Italy.
Neurol Sci ; 43(11): 6159-6166, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2014175
ABSTRACT

INTRODUCTION:

During the COVID-19 pandemic, electroencephalography (EEG) proved to be a useful tool to demonstrate brain involvement. Many studies reported non-reactive generalized slowing as the most frequent pattern and epileptiform activity in a minority of patients.

OBJECTIVE:

To investigate the prevalence of diffuse unreactive background attenuation or suppression and its correlation with outcome in a cohort of COVID-19 patients.

METHODS:

The EEGs recorded during the first year of the COVID-19 pandemic were retrospectively evaluated to identify the main pattern and focus on the occurrence of a low-voltage background, either attenuated (10-20 µV) or suppressed (< 10 µV). We sought a correlation between in-hospital mortality and low-voltage EEG. In a subsample of patients, biomarkers of inflammation, hypoxemia and organ failure were collected. Brain imaging was also evaluated.

RESULTS:

Among 98 EEG performed in 50 consecutive patients, diffuse unreactive slowing was the most prevalent pattern (54%), followed by unreactive attenuation or suppression pattern (26%), being the latter significantly correlated with an unfavourable outcome (p = 0.0004). Survivors showed significantly lower interleukine-6 values compared to non-survivors. Patients with attenuated EEG and non-survivors also showed lower PaO2/FiO2 values. Neuroradiological findings were very heterogeneous with a prevalence of lesions suggestive of a microangiopathic substrate.

CONCLUSIONS:

EEG attenuation or suppression may be more frequent than previously reported and significantly associated with a poor outcome. SARS-CoV-2 infection may result in encephalopathy and reduced EEG voltage through mechanisms that are still unknown but deserve attention given its negative impact on prognosis.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Neurol Sci Journal subject: Neurology Year: 2022 Document Type: Article Affiliation country: S10072-022-06354-8

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Neurol Sci Journal subject: Neurology Year: 2022 Document Type: Article Affiliation country: S10072-022-06354-8