Literature DB >> 25976409

Amplitude-spectral area and chest compression release velocity independently predict hospital discharge and good neurological outcome in ventricular fibrillation out-of-hospital cardiac arrest.

Julia H Indik1, Zacherie Conover2, Meghan McGovern2, Annemarie E Silver3, Daniel W Spaite4, Bentley J Bobrow5, Karl B Kern2.   

Abstract

OBJECTIVE: In out-of-hospital cardiac arrest (OHCA) with ventricular fibrillation (VF) the frequency-based waveform characteristic, amplitude-spectral area (AMSA) is associated with hospital discharge and good neurological outcome, yet AMSA is also known to increase in response to chest compressions (CC). In addition to rate and depth, well performed CC provides good chest recoil without leaning, reflected in the release velocity (RV). We hypothesized that AMSA is associated with hospital discharge and good neurological outcome independent of CC quality.
METHODS: OHCA patients (age ≥ 18), with initial rhythm of VF from an Utstein-Style database were analyzed. AMSA was measured prior to each shock, and averaged for each subject (AMSA-avg). Primary endpoint was hospital discharge and secondary endpoint was a good neurological outcome. Univariate and stepwise multivariable logistic regression, and receiver-operator-characteristic (ROC) analyses were performed. Factors analyzed were age, sex, witnessed status, time from dispatch to monitor/defibrillator application, number of shocks, first shock AMSA (AMSA1), AMSA-avg, averaged pre-shock pause, CC rate, depth, and RV.
RESULTS: 140 subjects were analyzed. Hospital discharge was 31% and with good neurological outcome in 24% (77% of those discharged). AMSA-avg (p < 0.001), RV (p = 0.002), and age (p = 0.029) were independently associated with hospital discharge, with a non-significant trend for witnessed status (p = 0.069), with AUC = 0.846 for the multivariate model. For good neurological outcome, AMSA-avg (p = 0.001) and RV (p = 0.001) remained independently significant, with AUC = 0.782.
CONCLUSION: In OHCA with an initial rhythm of VF, AMSA-avg and CC RV are both highly and independently associated with hospital discharge and good neurological outcome.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiopulmonary resuscitation; Chest compressions; Heart arrest; Ventricular fibrillation

Mesh:

Year:  2015        PMID: 25976409     DOI: 10.1016/j.resuscitation.2015.05.002

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


  6 in total

1.  Predictive value of amplitude spectrum area of ventricular fibrillation waveform in patients with acute or previous myocardial infarction in out-of-hospital cardiac arrest.

Authors:  Michiel Hulleman; David D Salcido; James J Menegazzi; Patrick C Souverein; Hanno L Tan; Marieke T Blom; Rudolph W Koster
Journal:  Resuscitation       Date:  2017-08-24       Impact factor: 5.262

Review 2.  Towards individualised treatment of out-of-hospital cardiac arrest patients: an update on technical innovations in the prehospital chain of survival.

Authors:  J Thannhauser; J Nas; R A Waalewijn; N van Royen; J L Bonnes; M A Brouwer; M J de Boer
Journal:  Neth Heart J       Date:  2021-08-09       Impact factor: 2.854

3.  MLWAVE: A novel algorithm to classify primary versus secondary asphyxia-associated ventricular fibrillation.

Authors:  Dieter Bender; Ryan W Morgan; Vinay M Nadkarni; Robert A Berg; Bingqing Zhang; Todd J Kilbaugh; Robert M Sutton; C Nataraj
Journal:  Resusc Plus       Date:  2020-12-14

4.  Targeted Delivery of Electrical Shocks and Epinephrine, Guided by Ventricular Fibrillation Amplitude Spectral Area, Reduces Electrical and Adrenergic Myocardial Burden, Improving Survival in Swine.

Authors:  Salvatore R Aiello; Jenna B Mendelson; Alvin Baetiong; Jeejabai Radhakrishnan; Raúl J Gazmuri
Journal:  J Am Heart Assoc       Date:  2021-11-08       Impact factor: 5.501

5.  Electrocardiographic recording direction impacts ventricular fibrillation waveform measurements: A potential pitfall for VF-waveform guided defibrillation protocols.

Authors:  Jos Thannhauser; Joris Nas; Priya Vart; Joep L R M Smeets; Menko-Jan de Boer; Niels van Royen; Judith L Bonnes; Marc A Brouwer
Journal:  Resusc Plus       Date:  2021-04-02

6.  Computerized Analysis of the Ventricular Fibrillation Waveform Allows Identification of Myocardial Infarction: A Proof-of-Concept Study for Smart Defibrillator Applications in Cardiac Arrest.

Authors:  Jos Thannhauser; Joris Nas; Dennis J Rebergen; Sjoerd W Westra; Joep L R M Smeets; Niels Van Royen; Judith L Bonnes; Marc A Brouwer
Journal:  J Am Heart Assoc       Date:  2020-10-02       Impact factor: 5.501

  6 in total

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