Literature DB >> 26164682

Combination of initial neurologic examination and continuous EEG to predict survival after cardiac arrest.

Chun Song Youn1, Clifton W Callaway2, Jon C Rittenberger3.   

Abstract

BACKGROUND: Prognosticating outcome following cardiac arrest requires a multimodal approach. We tested whether the combination of initial neurologic examination combined with continuous EEG was superior to either test alone for predicting survival after cardiac arrest.
METHODS: Review of consecutive patients receiving continuous EEG monitoring between April 2010 and June 2013. Initial neurologic examination was evaluated using the Full Outline of UnResponsiveness (FOUR) score and organ system dysfunction determined using the SOFA score. We defined four categories of initial post-cardiac arrest illness severity (PCAC): (I) awake, (II) coma (not following commands but intact brainstem responses) + mild cardiopulmonary dysfunction (SOFA cardiac + respiratory score < 4), (III) coma + moderate-severe cardiopulmonary dysfunction (SOFA cardiac + respiratory score ≥ 4), and (IV) coma without brainstem reflexes. A second analysis focusing on neurologic injury divided subjects into three groups according to initial FOUR_B score; FOUR_B = 0-1, FOUR_B = 2 and FOUR_B = 4. A blinded rater dichotomized continuous EEG patterns during the first 48h into malignant patterns (non-convulsive status epilepticus, convulsive status epilepticus, myoclonic status epilepticus and generalized periodic epileptiform discharges). The primary outcome was survival to hospital discharge.
RESULTS: Of 331 subjects, mean age was 58 (SD 17) years and 206 (62.2%) subjects were male. Ventricular fibrillation or tachycardia (VF/VT) was the initial rhythm for 93 (28.1%) subjects. Among subjects with malignant cEEG, survival to hospital discharge rate was 0% for FOUR_B 0-1, 8.1% for FOUR_B 2 and 12.5% for FOUR_B 4, respectively. In one multivariate analysis, survival was independently associated with VF/VT, FOUR_B of 2, FOUR_B of 4, and non-malignant cEEG. In a separate model, survival was associated with VF/VT, PCAC < 4 and non-malignant cEEG. The AUCs of FOUR_B, cEEG and the combination of FOUR_B and cEEG are 0.740 (95% C.I. 0.684-0.797), 0.674 (95% C.I. 0.615-0.732) and 0.820 (95% C.I. 0.773-0.868) respectively. The AUCs of PCAC, cEEG and the combination of PCAC and cEEG are 0.779 (95% C.I. 0.721-0.838), 0.672 (95% C.I. 0.612-0.7321) and 0.846 (95% C.I. 0.798-0.894) respectively.
CONCLUSION: Combining the initial neurologic examination using either FOUR_B or PCAC, with cEEG was superior to any individual test for predicting survival after cardiac arrest. We caution against using these findings to speed prognostication until they are externally validated.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Examination; Hypothermia; Outcomes; Prognostication

Mesh:

Year:  2015        PMID: 26164682     DOI: 10.1016/j.resuscitation.2015.06.016

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  10 in total

1.  The Race Is On: Early Determination of Neuroprognosis After Cardiac Arrest.

Authors:  Jon C Rittenberger; Tomas Drabek
Journal:  Circulation       Date:  2015-08-12       Impact factor: 29.690

Review 2.  The Brain after Cardiac Arrest.

Authors:  Jonathan Elmer; Clifton W Callaway
Journal:  Semin Neurol       Date:  2017-02-01       Impact factor: 3.420

Review 3.  Prognostic Value of EEG in Patients after Cardiac Arrest-An Updated Review.

Authors:  Wolfgang Muhlhofer; Jerzy P Szaflarski
Journal:  Curr Neurol Neurosci Rep       Date:  2018-03-10       Impact factor: 5.081

4.  Combination of initial neurologic examination, quantitative brain imaging and electroencephalography to predict outcome after cardiac arrest.

Authors:  Chun Song Youn; Clifton W Callaway; Jon C Rittenberger
Journal:  Resuscitation       Date:  2016-11-10       Impact factor: 5.262

5.  Neurostimulant use is associated with improved survival in comatose patients after cardiac arrest regardless of electroencephalographic substrate.

Authors:  Alexis Steinberg; Jon C Rittenberger; Maria Baldwin; John Faro; Alexandra Urban; Naoir Zaher; Clifton W Callaway; Jonathan Elmer
Journal:  Resuscitation       Date:  2017-12-05       Impact factor: 5.262

6.  Phenotyping Cardiac Arrest: Bench and Bedside Characterization of Brain and Heart Injury Based on Etiology.

Authors:  Thomas Uray; Andrew Lamade; Jonathan Elmer; Tomas Drabek; Jason P Stezoski; Amalea Missé; Keri Janesko-Feldman; Robert H Garman; Niel Chen; Patrick M Kochanek; Cameron Dezfulian; Clifton W Callaway; Ankur A Doshi; Adam Frisch; Francis X Guyette; Josh C Reynolds; Jon C Rittenberger
Journal:  Crit Care Med       Date:  2018-06       Impact factor: 7.598

7.  A novel methodological framework for multimodality, trajectory model-based prognostication.

Authors:  Jonathan Elmer; Bobby L Jones; Vladimir I Zadorozhny; Juan Carlos Puyana; Kate L Flickinger; Clifton W Callaway; Daniel Nagin
Journal:  Resuscitation       Date:  2019-02-27       Impact factor: 5.262

Review 8.  In-Hospital Cardiac Arrest: A Review.

Authors:  Lars W Andersen; Mathias J Holmberg; Katherine M Berg; Michael W Donnino; Asger Granfeldt
Journal:  JAMA       Date:  2019-03-26       Impact factor: 56.272

9.  Usefulness of full outline of unresponsiveness score to predict extubation failure in intubated critically-ill patients: A pilot study.

Authors:  Tarek Said; Anis Chaari; Karim Abdel Hakim; Dalia Hamama; William Francis Casey
Journal:  Int J Crit Illn Inj Sci       Date:  2016 Oct-Dec

10.  Prognostic value of OHCA, C-GRApH and CAHP scores with initial neurologic examinations to predict neurologic outcomes in cardiac arrest patients treated with targeted temperature management.

Authors:  Hyun Soo Kim; Kyu Nam Park; Soo Hyun Kim; Byung Kook Lee; Sang Hoon Oh; Kyung Woon Jeung; Seung Pill Choi; Chun Song Youn
Journal:  PLoS One       Date:  2020-04-24       Impact factor: 3.240

  10 in total

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