Literature DB >> 28363820

Ventricular fibrillation waveform characteristics of the surface ECG: Impact of the left ventricular diameter and mass.

Judith L Bonnes1, Jos Thannhauser2, Joris Nas2, Sjoerd W Westra2, Rutger M G Jansen3, Gjerrit Meinsma4, Menko-Jan de Boer2, Joep L R M Smeets2, Wessel Keuper2, Marc A Brouwer2.   

Abstract

BACKGROUND: Despite a promising association between VF waveform characteristics and prognosis after resuscitation, studies with VF-guided treatment have so far not improved outcomes. While driven by the idea that the VF waveform reflects arrest duration, increasing evidence suggests that pre-existent disease-related changes of the myocardium affect ECG-characteristics of VF as well. In this context, we studied the impact of the left ventricular (LV) diameter and mass.
METHODS: Cohort of 193 ICD-patients with defibrillation testing at the Radboudumc (2010-2014). Surface ECG-recordings (leads I,II,aVF,V1,V3,V6) were analysed to study amplitude and frequency characteristics of the induced VF. Both for LV diameter and mass, patients were categorised in two groups, using echocardiographic data (ASE-guidelines).
RESULTS: In all ECG-leads, dominant and median frequencies were significantly lower in patients with (n=40) than in patients without (n=151) an increased LV diameter. The mean amplitude and amplitude spectrum area (AMSA) did not differ. In contrast, we observed no differences in frequency characteristics in relation to the LV mass, whereas mean amplitude (I,aVF,V3) and AMSA (I,V3) were significantly higher in patients with (n=57) than in patients without (n=120) an increased LV mass.
CONCLUSIONS: Frequency characteristics of VF were consistently lower in case of an increased LV diameter. Whereas LV mass does not affect the frequency of the VF waveform, amplitudes seem higher with increasing mass. These findings add to the current knowledge of factors that modulate VF characteristics of the surface ECG and provide insight into factors which may be accounted for in future studies on VF-guided resuscitative interventions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrocardiography; Fourier analysis; Implantable cardioverter defibrillator; Left ventricular diameter; Left ventricular mass; Ventricular fibrillation

Mesh:

Year:  2017        PMID: 28363820     DOI: 10.1016/j.resuscitation.2017.03.029

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


  4 in total

1.  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

2.  Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction.

Authors:  Hung-Yi Chen; Chin-Sheng Lin; Wen-Hui Fang; Chia-Cheng Lee; Ching-Liang Ho; Chih-Hung Wang; Chin Lin
Journal:  Front Med (Lausanne)       Date:  2022-04-11

3.  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

4.  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

  4 in total

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