Literature DB >> 28844935

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

Michiel Hulleman1, David D Salcido2, James J Menegazzi2, Patrick C Souverein3, Hanno L Tan4, Marieke T Blom4, Rudolph W Koster4.   

Abstract

BACKGROUND: Amplitude spectrum area (AMSA) of ventricular fibrillation (VF) has been associated with survival from out-of-hospital cardiac arrest (OHCA). Ischemic heart disease has been shown to change AMSA. We studied whether the association between AMSA and survival changes with acute ST-elevation myocardial infarction (STEMI) as cause of the OHCA and/or previous MI.
METHODS: Multivariate logistic regression with log-transformed AMSA of first artifact-free VF segment was used to assess the association between AMSA and survival, according to presence of STEMI or previous MI, adjusting for resuscitation characteristics, medication use and comorbidities.
RESULTS: Of 716 VF-patients included from an OHCA-registry in the Netherlands, 328 (46%) had STEMI as cause of OHCA. Previous MI was present in 186 (26%) patients. Survival was 66%; neither previous MI (P=0.11) nor STEMI (P=0.78) altered survival. AMSA was a predictor of survival (ORadj: 1.52, 95%-CI: 1.28-1.82). STEMI was associated with lower AMSA (8.4mV-Hz [3.7-16.5] vs. 12.3mV-Hz [5.6-23.0]; P<0.001), but previous MI was not (9.5mV-Hz [3.9-18.0] vs 10.6mV-Hz [4.6-19.3]; P=0.27). When predicting survival, there was no interaction between previous MI and AMSA (P=0.14). STEMI and AMSA had a significant interaction (P=0.002), whereby AMSA was no longer a predictor of survival (ORadj: 1.03, 95%-CI: 0.77-1.37) in STEMI-patients. In patients without STEMI, higher AMSA was associated with higher survival rates (ORadj: 1.80, 95%-CI: 1.39-2.35).
CONCLUSIONS: The prognostic value of AMSA is altered by the presence of STEMI: while AMSA has strong predictive value in patients without STEMI, AMSA is not a predictor of survival in STEMI-patients.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arrhythmia; Cardiopulmonary resuscitation; Heart arrest; Quantitative waveform measures; ST-segment elevation myocardial infarction; Sudden cardiac death; Ventricular fibrillation

Mesh:

Year:  2017        PMID: 28844935      PMCID: PMC6800013          DOI: 10.1016/j.resuscitation.2017.08.219

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


  26 in total

1.  Course of quantitative ventricular fibrillation waveform measure and outcome following out-of-hospital cardiac arrest.

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Journal:  Heart Rhythm       Date:  2013-10-28       Impact factor: 6.343

Review 2.  Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis.

Authors:  Comilla Sasson; Mary A M Rogers; Jason Dahl; Arthur L Kellermann
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2009-11-10

3.  Association of amplitude spectral area of the ventricular fibrillation waveform with survival of out-of-hospital ventricular fibrillation cardiac arrest.

Authors:  Julia H Indik; Zacherie Conover; Meghan McGovern; Annemarie E Silver; Daniel W Spaite; Bentley J Bobrow; Karl B Kern
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6.  Beta-blockade causes a reduction in the frequency spectrum of VF but improves resuscitation outcome: A potential limitation of quantitative waveform measures.

Authors:  Lawrence Sherman; James Niemann; Scott T Youngquist; Atman P Shah; John P Rosborough
Journal:  Resuscitation       Date:  2011-10-10       Impact factor: 5.262

7.  Ventricular fibrillation waveform characteristics differ according to the presence of a previous myocardial infarction: A surface ECG study in ICD-patients.

Authors:  Judith L Bonnes; Jos Thannhauser; Mathilde C Hermans; Sjoerd W Westra; Thom F Oostendorp; Gjerrit Meinsma; Menko Jan de Boer; Marc A Brouwer; Joep L R M Smeets
Journal:  Resuscitation       Date:  2015-08-29       Impact factor: 5.262

8.  Effects of cardiopulmonary resuscitation on predictors of ventricular fibrillation defibrillation success during out-of-hospital cardiac arrest.

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Authors:  David D Salcido; James J Menegazzi; Brian P Suffoletto; Eric S Logue; Lawrence D Sherman
Journal:  Resuscitation       Date:  2009-06-11       Impact factor: 5.262

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Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

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
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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
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  6 in total

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