Does continuous EEG influence prognosis in patients after cardiac arrest?

Resuscitation. 2018 Nov:132:29-32. doi: 10.1016/j.resuscitation.2018.08.023. Epub 2018 Aug 25.

Abstract

Aim: Electroencephalography (EEG) is a key modality for assessment of prognosis following cardiac arrest (CA); however, whether continuous EEG (cEEG) is superior to routine intermittent EEG (rEEG) remains debated. We examined the impact of cEEG (>18 h) vs. rEEG (<30 min) on outcome in comatose CA patients as part of multimodal prognostication.

Methods: We analysed a large prospective registry of comatose post-CA adults (n = 497; 2009-2018), stratified based on whether they received cEEG (n = 62) or rEEG (n = 435), including standardized reactivity testing at two time-points. The primary endpoint was the impact of cEEG vs. rEEG on Glasgow-Pittsburgh Cerebral Performance Categories (CPC) at three months; we also assessed impact on time to death.

Results: Main patients' baseline clinical characteristics and CPC scores were comparable between the EEG groups. By multivariable analysis age, non-shockable rhythm, presence of early myoclonus, absent EEG background reactivity, absent somato-sensory evoked potentials, and serum NSE were independently associated with poor neurological outcome (CPC 3-5), while the EEG approach had no impact on patient prognosis and time to death.

Conclusions: Our data suggest that cEEG does not confer any advantage over intermittent rEEG regarding outcome in patients with CA, and does not influence the time to death.

Keywords: Monitoring; Mortality; Outcome; Routine EEG.

MeSH terms

  • Aged
  • Case-Control Studies
  • Coma / mortality*
  • Coma / physiopathology
  • Electroencephalography / methods*
  • Female
  • Heart Arrest / mortality*
  • Heart Arrest / physiopathology
  • Humans
  • Hypothermia, Induced / methods
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Registries
  • Retrospective Studies
  • Time Factors
  • Treatment Outcome