• Home
  • Search
  • Abstract 249: Neurocardiac Triage: A Classification Scheme to Guide Post Resuscitation Cardiac Arrest Care
  • https://doi.org/10.1161/circ.128.suppl_22.a249Copy DOI Icon

Abstract 249: Neurocardiac Triage: A Classification Scheme to Guide Post Resuscitation Cardiac Arrest Care

Show More
  • Abstract
  • Literature Map
  • Similar Papers
Abstract

Introduction: We previously described use of the bispectral index (BIS), a processed EEG modality that integrates EEG power, reactivity, and suppression ratio, to assess severity of hypoxic-ischemic brain injury (HIE) very early after cardiac arrest. We now propose a neurocardiac triage model based on bispectral index and coronary risk, and describe patient outcomes accordingly. Methods: Patients from our prospective cardiac arrest database were retrospectively classified by four cardiac risk groups: STEMI, VT/VF with shock, VT/VF without shock, and PEA/asystole. Neurological injury was described by the “BISi”-the BIS score recorded immediately after the first dose of neuromuscular blockade, and classified as mild (BISi>20), moderate (BISi 10-20), or severe (BISi<10). Results: The BISi was determined at (270±186) minutes after resuscitation (ROSC). Thirty-three patients presented with STEMI; 9 of these had severe HIE - 6 later died of neurological and 1 of cardiac causes. Sixteen patients with STEMI had mild HIE: none died of neurological and 1 of cardiac cause. Fifteen patients presented with VT/VF and shock: 5 had severe HIE - 4 died of neurological and 1 of cardiac etiology. Nine patients with VT/VF and shock had mild HIE: none died of neurological and 4 of cardiac etiology. Of 41 patients with VT/VF and without shock, 16 had severe HIE: 10 died of neurological and 2 of cardiac etiology, 22 had mild brain injury - 2 each died of neurological and cardiac causes. Finally, 80 patients had PEA/asystole; 36 of these had severe HIE - 34 died of neurological and 2 of cardiac causes. Thirty-four patients with PEA/asystole had mild HIE - 8 died of neurological and 9 of cardiac causes. Thirty-eight patients in the total cohort underwent urgent cardiac catheterization (CC) - 8 (21.1%) subsequently died of neurological causes; 5 of those 8 were identified as severe HIE by BISi. Of 56 non-STEMI patients with VT/VF (with or without shock), 24 were identified as having mild HIE yet did not undergo urgent CC - 5 (20.8%) of those patients subsequently died of a cardiac cause. Conclusion: A neurocardiac triage model based on early processed EEG and cardiac risk class suggested possible utility in selecting appropriate patients for urgent coronary angiography and PCI after cardiac arrest.

Similar Papers
  • PDF
  • Research Article
  • Citations7

Cumulative dose of epinephrine and mode of death after non-shockable out-of-hospital cardiac arrest: a registry-based study

  • Dec 20, 2023
  • Critical Care
  • François Javaudin +99
  • Research Article

Characteristics and outcomes of patients presenting with out of hospital cardiac arrest to a regional hospital

  • Jan 25, 2023
  • European Heart Journal
  • T Sklavos +2
  • Research Article

Assessment of the San Francisco syncope rule in detecting high-risk cardiac and neurological causes of syncope

  • Jan 22, 2026
  • International Journal of Community Medicine and Public Health
  • Anwar Ahmed Alsaidiani +9
  • Research Article
  • Citations106

Neurological Pupil Index and Pupillary Light Reflex by Pupillometry Predict Outcome Early After Cardiac Arrest.

  • May 08, 2019
  • Neurocritical Care
  • Richard R Riker +6
  • Research Article
  • Citations6

Serious Cardiac Adverse Events After Decompressive Craniectomy for Malignant Cerebral Infarction

  • Jul 01, 2011
  • Journal of Neurosurgical Anesthesiology
  • Padmaja Durga +4
  • Front Matter
  • Citations1

Predicting a pulse: Can monitoring heart rate and end-tidal carbon dioxide minimize compression pauses and impact outcomes in out-of-hospital cardiac arrest?

  • Oct 05, 2012
  • Resuscitation
  • Rachel Semmons +1
  • Research Article
  • Citations68

Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest

  • Oct 01, 2019
  • Resuscitation
  • Kaspar Josche Streitberger +7
  • Discussion

Comment on: “Usefulness of cerebral rSO2 monitoring during CPR to predict the probability of return of spontaneous circulation”

  • Jul 09, 2019
  • Resuscitation
  • Yarong He +3
  • PDF
  • Front Matter
  • Citations5

Sudden arrhythmic death: from basic science to clinical practice

  • Nov 25, 2013
  • Frontiers in Physiology
  • Ian N Sabir +2
  • Abstract
  • Citations1

Risk Factors for Cardiac Causes of Death in Males with Duchenne Muscular Dystrophy

  • Mar 15, 2019
  • The Journal of Heart and Lung Transplantation
  • C.A Wittlieb-Weber +16
  • Research Article

Characteristics of intracranial hemorrhage and acute aortic syndromes resuscitated with ECPR

  • Feb 01, 2025
  • Journal of Emergency Medicine
  • Fumiya Inoue +7
  • Research Article

Abstract 39: Clinical Outcomes Of Octogenerians Requiring Urgent Cardiac Catheterization: Percutaneous Intervention versus Medical Therapy.

  • Apr 01, 2012
  • Circulation: Cardiovascular Quality and Outcomes
  • Analkumar Parikh +4
  • Research Article
  • Citations731

Part 12: Cardiac Arrest in Special Situations

  • Oct 17, 2010
  • Circulation
  • Terry L Vanden Hoek +7
  • Research Article
  • Citations18

Ethnic disparities in out-of-hospital cardiac arrest: A population-based cohort study among adult Danish immigrants.

  • Aug 05, 2022
  • The Lancet Regional Health - Europe
  • Rodrigue Garcia +12
  • Research Article
  • Citations6

Diabetes Does Not Affect Ventricular Repolarization and Sudden Cardiac Death Risk in Patients with Dilated Cardiomyopathy

  • Feb 23, 2009
  • Pacing and Clinical Electrophysiology
  • Bojan Vrtovec +4
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.