Literature DB >> 11801840

Optimizing timing of ventricular defibrillation.

A Marn-Pernat1, M H Weil, W Tang, A Pernat, J Bisera.   

Abstract

OBJECTIVE: Our intent was to evolve a prognosticator that would predict the likelihood that an electrical shock would restore a perfusing rhythm. Such a prognosticator was to be based on conventional electrocardiographic signals but without constraints caused by artifacts resulting from precordial compression. The adverse effects of "hands off" intervals for rhythm analyses would therefore be minimized. Such a prognosticator was further intended to reduce the number of electrical shocks and the total energy delivered and thereby minimize postresuscitation myocardial dysfunction.
DESIGN: Observational study.
SUBJECTS: Medical research laboratory of a university-affiliated research and educational institute.
SUBJECTS: Domestic pigs.
INTERVENTIONS: Ventricular fibrillation was induced in an established porcine model of cardiac arrest. Recordings of scalar lead 2 over the frequency range of 4-48 Hz were utilized. The area under the curve representing the amplitude and frequency was defined as the amplitude spectrum area (AMSA).
MEASUREMENTS AND MAIN RESULTS: A derivation group of 55 animals yielded a threshold value of AMSA that uniformly predicted successful resuscitation. A separate group of 10 animals, a validation group, confirmed that an AMSA value of 21 mV.Hz predicted restoration of perfusing rhythm after 7 of 8 electrical shocks and failure of electrical conversion in 21 of 23 electrical shocks, yielding sensitivity and specificity of about 90%. The negative predictive value of AMSA was 95% and statistically equivalent to that of coronary perfusion pressure, mean amplitude, and median frequency. The positive predictive value that would prompt continuation of cardiopulmonary resuscitation without interruption for an unsuccessful defibrillation attempt was greatly improved with AMSA (78%) as compared with coronary perfusion pressure (42%), mean amplitude (32%), and median frequency (29%).
CONCLUSION: AMSA has the potential for guiding more optimal timing of defibrillation without adverse interruption of cardiopulmonary resuscitation or the delivery of unsuccessful high energy electrical shocks that contribute to postresuscitation myocardial injury.

Entities:  

Mesh:

Year:  2001        PMID: 11801840     DOI: 10.1097/00003246-200112000-00019

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  26 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.  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

3.  Quantitative waveform measures of the electrocardiogram as continuous physiologic feedback during resuscitation with cardiopulmonary bypass.

Authors:  David D Salcido; Young-Min Kim; Lawrence D Sherman; Greggory Housler; Xiaoyi Teng; Eric S Logue; James J Menegazzi
Journal:  Resuscitation       Date:  2011-10-01       Impact factor: 5.262

4.  Ventricular fibrillation waveform measures combined with prior shock outcome predict defibrillation success during cardiopulmonary resuscitation.

Authors:  Jason Coult; Heemun Kwok; Lawrence Sherman; Jennifer Blackwood; Peter J Kudenchuk; Thomas D Rea
Journal:  J Electrocardiol       Date:  2017-08-01       Impact factor: 1.438

5.  Preshock cardiopulmonary resuscitation worsens outcome from circulatory phase ventricular fibrillation with acute coronary artery obstruction in swine.

Authors:  Julia H Indik; Ronald W Hilwig; Mathias Zuercher; Karl B Kern; Marc D Berg; Robert A Berg
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-02-18

6.  Predictors of resuscitation outcome in a swine model of VF cardiac arrest: A comparison of VF duration, presence of acute myocardial infarction and VF waveform.

Authors:  Julia H Indik; Madhan Shanmugasundaram; Daniel Allen; Amanda Valles; Karl B Kern; Ronald W Hilwig; Mathias Zuercher; Robert A Berg
Journal:  Resuscitation       Date:  2009-10-04       Impact factor: 5.262

7.  Correlation between coronary perfusion pressure and quantitative ECG waveform measures during resuscitation of prolonged ventricular fibrillation.

Authors:  Joshua C Reynolds; David D Salcido; James J Menegazzi
Journal:  Resuscitation       Date:  2012-05-03       Impact factor: 5.262

8.  The influence of myocardial substrate on ventricular fibrillation waveform: a swine model of acute and postmyocardial infarction.

Authors:  Julia H Indik; Richard L Donnerstein; Ronald W Hilwig; Mathias Zuercher; Justin Feigelman; Karl B Kern; Marc D Berg; Robert A Berg
Journal:  Crit Care Med       Date:  2008-07       Impact factor: 7.598

9.  Validation of spectral energy for the quantitative analysis of ventricular fibrillation waveform to guide defibrillation in a porcine model of cardiac arrest and resuscitation.

Authors:  Qiyu Yang; Ming Li; Zhaolan Huang; Zhuoyan Xie; Yue Wang; Qin Ling; Xuefen Liu; Wanchun Tang; Longyuan Jiang; Zhengfei Yang
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

Review 10.  [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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.