Literature DB >> 25257639

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

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

Abstract

BACKGROUND: Previous investigations of out-of-hospital cardiac arrest (OHCA) have shown that the waveform characteristic amplitude spectral area (AMSA) can predict successful defibrillation and return of spontaneous circulation (ROSC) but has not been studied previously for survival.
OBJECTIVES: To determine whether AMSA computed from the ventricular fibrillation (VF) waveform is associated with pre-hospital ROSC, hospital admission, and hospital discharge.
METHODS: Adults with witnessed OHCA and an initial rhythm of VF from an Utstein style database were studied. AMSA was measured prior to each shock and averaged for each subject (AMSA-avg). Factors such as age, sex, number of shocks, time from dispatch to monitor/defibrillator application, first shock AMSA, and AMSA-avg that could predict pre-hospital ROSC, hospital admission, and hospital discharge were analyzed by logistic regression.
RESULTS: Eighty-nine subjects (mean age 62 ± 15 years) with a total of 286 shocks were analyzed. AMSA-avg was associated with pre-hospital ROSC (p = 0.003); a threshold of 20.9 mV-Hz had a 95% sensitivity and a 43.4% specificity. Additionally, AMSA-avg was associated with hospital admission (p < 0.001); a threshold of 21 mV-Hz had a 95% sensitivity and a 54% specificity and with hospital discharge (p < 0.001); a threshold of 25.6 mV-Hz had a 95% sensitivity and a 53% specificity. First-shock AMSA was also predictive of pre-hospital ROSC, hospital admission, and discharge. Time from dispatch to monitor/defibrillator application was associated with hospital admission (p = 0.034) but not pre-hospital ROSC or hospital discharge.
CONCLUSIONS: AMSA is highly associated with pre-hospital ROSC, survival to hospital admission, and hospital discharge in witnessed VF OHCA. Future studies are needed to determine whether AMSA computed during resuscitation can identify patients for whom continuing current resuscitation efforts would likely be futile.
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiopulmonary resuscitation; heart arrest; ventricular fibrillation

Mesh:

Year:  2014        PMID: 25257639     DOI: 10.1016/j.jacc.2014.06.1196

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  15 in total

1.  Value of capnography to predict defibrillation success in out-of-hospital cardiac arrest.

Authors:  Beatriz Chicote; Elisabete Aramendi; Unai Irusta; Pamela Owens; Mohamud Daya; Ahamed Idris
Journal:  Resuscitation       Date:  2019-03-02       Impact factor: 5.262

2.  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

3.  Effects of intra-resuscitation antiarrhythmic administration on rearrest occurrence and intra-resuscitation ECG characteristics in the ROC ALPS trial.

Authors:  David D Salcido; Robert H Schmicker; Noah Kime; Jason E Buick; Sheldon Cheskes; Brian Grunau; Stephanie Zellner; Dana Zive; Tom P Aufderheide; Allison C Koller; Heather Herren; Jack Nuttall; Matthew L Sundermann; James J Menegazzi
Journal:  Resuscitation       Date:  2018-05-24       Impact factor: 5.262

Review 4.  [Adult advanced life support].

Authors:  Jasmeet Soar; Bernd W Böttiger; Pierre Carli; Keith Couper; Charles D Deakin; Therese Djärv; Carsten Lott; Theresa Olasveengen; Peter Paal; Tommaso Pellis; Gavin D Perkins; Claudio Sandroni; Jerry P Nolan
Journal:  Notf Rett Med       Date:  2021-06-08       Impact factor: 0.826

5.  Adult Advanced Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations.

Authors:  Jasmeet Soar; Katherine M Berg; Lars W Andersen; Bernd W Böttiger; Sofia Cacciola; Clifton W Callaway; Keith Couper; Tobias Cronberg; Sonia D'Arrigo; Charles D Deakin; Michael W Donnino; Ian R Drennan; Asger Granfeldt; Cornelia W E Hoedemaekers; Mathias J Holmberg; Cindy H Hsu; Marlijn Kamps; Szymon Musiol; Kevin J Nation; Robert W Neumar; Tonia Nicholson; Brian J O'Neil; Quentin Otto; Edison Ferreira de Paiva; Michael J A Parr; Joshua C Reynolds; Claudio Sandroni; Barnaby R Scholefield; Markus B Skrifvars; Tzong-Luen Wang; Wolfgang A Wetsch; Joyce Yeung; Peter T Morley; Laurie J Morrison; Michelle Welsford; Mary Fran Hazinski; Jerry P Nolan
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

6.  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

7.  Time boundaries of the three-phase time-sensitive model for ventricular fibrillation cardiac arrest.

Authors:  Yoshikazu Goto; Akira Funada; Tetsuo Maeda; Yumiko Goto
Journal:  Resusc Plus       Date:  2021-03-02

8.  Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest.

Authors:  Yushun Gong; Yubao Lu; Lei Zhang; Hehua Zhang; Yongqin Li
Journal:  Biomed Res Int       Date:  2015-09-02       Impact factor: 3.411

9.  Combining multiple ECG features does not improve prediction of defibrillation outcome compared to single features in a large population of out-of-hospital cardiac arrests.

Authors:  Mi He; Yushun Gong; Yongqin Li; Tommaso Mauri; Francesca Fumagalli; Marcella Bozzola; Giancarlo Cesana; Roberto Latini; Antonio Pesenti; Giuseppe Ristagno
Journal:  Crit Care       Date:  2015-12-10       Impact factor: 9.097

10.  Real-Time Ventricular Fibrillation Amplitude-Spectral Area Analysis to Guide Timing of Shock Delivery Improves Defibrillation Efficacy During Cardiopulmonary Resuscitation in Swine.

Authors:  Salvatore Aiello; Michelle Perez; Chad Cogan; Alvin Baetiong; Steven A Miller; Jeejabai Radhakrishnan; Christopher L Kaufman; Raúl J Gazmuri
Journal:  J Am Heart Assoc       Date:  2017-11-04       Impact factor: 5.501

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