Abstract

BackgroundOut-of-hospital cardiac arrest (OHCA) is associated with significant mortality or may have a poor neurological outcome. Various community-training programmes have improved practices like bystander cardiopulmonary resuscitation (CPR) and early defibrillation using automated external defibrillator (AED). Post-resuscitation care has also changed significantly in the millennium. Interventions like targeted temperature management (TTM), avoidance of hyperoxia and emergency cardiac catheterisation have given patients a chance of a better neurological outcome. Despite these timely interventions, it is still very difficult to predict neurological outcome. The European Resuscitation Council and European Society of Intensive Care Medicine (ERC-ESICM) published guidance in 2015 with a strong recommendation to delay prognostication for at least 72 h and with an emphasis to adapt a multimodal approach, which includes neurological examination, biomarkers, electroencephalogram (EEG) and radiological tests. These interventions not only have cost attached to them, but the unpredictability has a significant emotional impact on family members. Bispectral index (BIS) monitoring device acts on the principle of EEG and converts the waveform into an absolute number and also measures the burst suppression. We hypothesize that patients who have a low BIS value and high burst suppression within 24 h of presentation will have a poor neurological outcome. The primary objective of this review is to look at BIS monitor as a tool, which could help bring forward the timing of prognostication.MethodsElectronic databases will be systematically searched for randomised controlled trials and prospective or retrospective cohort studies with no language restrictions. The search will be supplemented with grey literature searches of thesis, dissertations and hand searching of relevant journals. Two independent reviewers will screen, select and perform analysis according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) method. The selected studies will be analysed using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) system. Meta-analysis will be performed if suitable.DiscussionThis review will synthesize the evidence on the use of BIS monitors within 24 h of achieving return of spontaneous circulation (ROSC) and may help in early prognostication.Systematic review registrationPROSPERO CRD 42016050224.

Highlights

  • Out-of-hospital cardiac arrest (OHCA) is associated with significant mortality or may have a poor neurological outcome

  • This study aims to look at the available evidence to support early use of Bispectral Index and burst suppression (BR) monitoring especially in the emergency department (ED) to help predict neurological outcome

  • Studies will be excluded if the outcome of interest is survival rather than performance status, if Bispectral index (BIS) or Burst suppression ratio (BSR) monitoring was commenced during resuscitation effort or commenced later than 24 h following return of spontaneous circulation (ROSC), and all case reports will be excluded

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Summary

Introduction

Out-of-hospital cardiac arrest (OHCA) is associated with significant mortality or may have a poor neurological outcome. Interventions like targeted temperature management (TTM), avoidance of hyperoxia and emergency cardiac catheterisation have given patients a chance of a better neurological outcome. The European Resuscitation Council and European Society of Intensive Care Medicine (ERC-ESICM) published guidance in 2015 with a strong recommendation to delay prognostication for at least 72 h and with an emphasis to adapt a multimodal approach, which includes neurological examination, biomarkers, electroencephalogram (EEG) and radiological tests. These interventions have cost attached to them, but the unpredictability has a significant emotional impact on family members. It is essential to predict neurological outcome in this group of patients as early as possible, in order to potentially enable early withdrawal of life-saving treatment (WLST) in those patients predicted to have a poor outcome

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