Literature DB >> 32995231

Frequency Variation of Ventricular Fibrillation May Help Predict Successful Defibrillation in a Rat Model of Cardiac Arrest.

Wei-Ting Chen1, Min-Shan Tsai2, Shang-Ho Tsai3, Yu-Chen Fang Jiang3, Teck-Jin Yang4, Chien-Hua Huang1, Wei-Tien Chang1, Wen-Jone Chen3.   

Abstract

BACKGROUND: To evaluate whether the frequency variation of ventricular fibrillation (VF) helps to predict successful defibrillation in a rat model of cardiac arrest.
METHODS: VF was induced in rats followed by cardiopulmonary resuscitation and then defibrillation. The electrocardiographic signals of 30 rats with first-shock success were obtained from our previous animal experiments, and 300 rats without first-shock success were selected as control. The VF waveform immediately before the first defibrillation was analyzed.
RESULTS: Eighty-eight percentages of the frequency variations of an electrocardiogram (ECG) record falling in the range -9.5-9.5 Hz was selected with sensitivity of 0.8, specificity of 0.583, and area under curve (AUC) of 0.708. Compared with amplitude spectrum area (AMSA) (sensitivity = 0.767, specificity= 0.547, and AUC = 0.678), combining frequency variation and AMSA significantly increases the predictability with sensitivity of 0.933, specificity of 0.493, and AUC of 0.732 (p = 0.005).
CONCLUSIONS: The frequency variation of VF may serve a useful parameter to predict defibrillation success.
Copyright © 2019 by Taiwan Society of Emergency Medicine & Ainosco Press. All Rights Reserved.

Entities:  

Keywords:  cardiac arrest; electric shock; frequency variation; ventricular fibrillation; waveform

Year:  2019        PMID: 32995231      PMCID: PMC7440373          DOI: 10.6705/j.jacme.201906_9(2).0002

Source DB:  PubMed          Journal:  J Acute Med        ISSN: 2211-5587


  25 in total

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Review 2.  Studies of ventricular fibrillation caused by electric shock: II. Cinematographic and electrocardiographic observations of the natural process in the dog's heart. Its inhibition by potassium and the revival of coordinated beats by calcium.

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Journal:  Ann Noninvasive Electrocardiol       Date:  2003-07       Impact factor: 1.468

3.  One-shock versus three-shock defibrillation protocol significantly improves outcome in a porcine model of prolonged ventricular fibrillation cardiac arrest.

Authors:  Wanchun Tang; David Snyder; Jinglan Wang; Lei Huang; Yun-Te Chang; Shijie Sun; Max Harry Weil
Journal:  Circulation       Date:  2006-06-05       Impact factor: 29.690

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Authors:  C W Callaway; L D Sherman; M D Scheatzle; J J Menegazzi
Journal:  Pacing Clin Electrophysiol       Date:  2000-02       Impact factor: 1.976

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Journal:  Circulation       Date:  1997-11-18       Impact factor: 29.690

6.  The frequency ratio: an improved method to estimate ventricular fibrillation duration based on Fourier analysis of the waveform.

Authors:  Lawrence D Sherman
Journal:  Resuscitation       Date:  2006-03-23       Impact factor: 5.262

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Authors:  R A Gray; A M Pertsov; J Jalife
Journal:  Nature       Date:  1998-03-05       Impact factor: 49.962

8.  Analysis of the ventricular fibrillation ECG signal amplitude and frequency parameters as predictors of countershock success in humans.

Authors:  H U Strohmenger; K H Lindner; C G Brown
Journal:  Chest       Date:  1997-03       Impact factor: 9.410

9.  Detrended fluctuation analysis predicts successful defibrillation for out-of-hospital ventricular fibrillation cardiac arrest.

Authors:  Lian-Yu Lin; Men-Tzung Lo; Patrick Chow-In Ko; Chen Lin; Wen-Chu Chiang; Yen-Bin Liu; Kun Hu; Jiunn-Lee Lin; Wen-Jone Chen; Matthew Huei-Ming Ma
Journal:  Resuscitation       Date:  2010-01-13       Impact factor: 5.262

10.  Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

Authors:  Mi He; Yubao Lu; Lei Zhang; Hehua Zhang; Yushun Gong; Yongqin Li
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

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