Diagnostic and prognostic use of bispectral index in coma, vegetative state and related disorders

Brain Inj. 2008 Nov;22(12):926-31. doi: 10.1080/02699050802530565.

Abstract

Primary objective: This study investigates (1) the utility of the bispectral index (BIS) to distinguish levels of consciousness in severely brain damaged patients and, particularly, disentangle vegetative state (VS) from minimally conscious state (MCS), as compared to other EEG parameters; (2) the prognostic value of BIS with regards to recovery after 1 year.

Research design: Multi-centric prospective study.

Method and procedures: Unsedated patients recovering from coma were followed until death or transferal. Automated electrophysiological and standardized behavioural assessments were carried out twice a week. EEG recordings were categorized according to level of consciousness (coma, VS, MCS and Exit MCS). Outcome was assessed at 1 year post-insult.

Main outcomes and results: One hundred and fifty-six EEG epochs obtained in 43 patients were included in the analyses. BIS showed a higher correlation with behavioural scales as compared to other EEG parameters. Moreover, BIS values differentiated levels of consciousness and distinguished VS from MCS while other EEG parameters did not. Finally, higher BIS values were found in patients who recovered at 1 year post-insult as compared to patients who did not recover.

Conclusion: EEG-BIS recording is an interesting additional method to help in the diagnosis as well as in the prognosis of severely brain injured patients recovering from coma.

Publication types

  • Multicenter Study

MeSH terms

  • Brain Injuries / diagnosis*
  • Brain Injuries / rehabilitation
  • Coma, Post-Head Injury / diagnosis*
  • Coma, Post-Head Injury / physiopathology
  • Consciousness / physiology
  • Electroencephalography
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neuropsychological Tests
  • Persistent Vegetative State / diagnosis*
  • Persistent Vegetative State / physiopathology
  • Prognosis
  • Prospective Studies
  • Severity of Illness Index