Electroencephalography for diagnosis and prognosis of acute encephalitis

Raoul Sutter, Peter W. Kaplan, Mackenzie C. Cervenka, Kiran T. Thakur, Anthony O. Asemota, Arun Venkatesan, Romergryko G. Geocadin

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Objectives: To confirm the previously identified EEG characteristics for HSV encephalitis and to determine the diagnostic and predictive value of electroencephalography (EEG) features for etiology and outcome of acute encephalitis in adults. In addition, we sought to investigate their independence from possible clinical confounders. Methods: This study was performed in the Intensive Care Units of two academic tertiary care centers. From 1997 to 2011, all consecutive patients with acute encephalitis who received one or more EEGs were included. Examination of the diagnostic and predictive value of EEG patterns regarding etiology, clinical conditions, and survival was performed. The main outcome measure was in-hospital death. Results: Of 103 patients with encephalitis, EEGs were performed in 76 within a median of 1 day (inter quartile range 0.5-3) after admission. Mortality was 19.7% Higher proportions of periodic discharges (PDs) (p= 0.029) and focal slowing (p= 0.017) were detected in Herpes Simplex virus (HSV) encephalitis as compared to non-HSV encephalitis, while clinical characteristics did not differ. Normal EEG remained the strongest association with a low relative risk for death in multivariable analyses (RR < 0.001, p< 0.001) adjusting for confounders as coma, global cerebral edema and mechanical ventilation. None of the patients with a normal EEG had a GCS of 15 Conclusions: Normal EEG predicted survival independently from possible confounders, highlighting the prognostic value of EEG in evaluating patients with encephalitis. EEG revealed higher proportions of PDs along with focal slowing in HSV encephalitis as compared to other etiologies. Significance: EEG significantly adds to clinical, diagnostic and prognostic information in patients with acute encephalitis.

Original languageEnglish (US)
Pages (from-to)1524-1531
Number of pages8
JournalClinical Neurophysiology
Volume126
Issue number8
DOIs
StatePublished - Aug 1 2015

Keywords

  • EEG patterns
  • Electroencephalography
  • Encephalitis
  • Neurocritical care

ASJC Scopus subject areas

  • Sensory Systems
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

Fingerprint

Dive into the research topics of 'Electroencephalography for diagnosis and prognosis of acute encephalitis'. Together they form a unique fingerprint.

Cite this