» Articles » PMID: 24177369

Course of Quantitative Ventricular Fibrillation Waveform Measure and Outcome Following Out-of-hospital Cardiac Arrest

Overview
Journal Heart Rhythm
Publisher Elsevier
Date 2013 Nov 2
PMID 24177369
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Quantitative measures of the ventricular fibrillation waveform at the outset of resuscitation are associated with survival. However, little is known about the course of these measures during resuscitation and how this course is related to outcome.

Objective: The purpose of this study was to determine how waveform measures change over the course of resuscitation and whether these changes might be used to guide resuscitation.

Methods: We evaluated 390 persons treated by emergency providers following out-of-hospital ventricular fibrillation arrest. We assessed the ventricular fibrillation waveform using the amplitude spectrum area (AMSA) from the defibrillator's continuous electrocardiogram measured before each of the first three shocks. We used logistic regression to evaluate the relationship of AMSA and the change in AMSA with favorable neurologic survival as determined by the Cerebral Performance Category at hospital discharge 1-2.

Results: Of the 390 patients who received an initial shock, 273 required a second shock and 210 required a third shock. The mean (standard deviation) for AMSA was 9.64 (0.52) for the 873 total shock cycles. AMSA₁ measured before the first shock was strongly associated with favorable neurologic survival (odds ratio [OR] 3.40, 95% confidence interval [CI] [2.48, 4.66] for 1 SD change). We observed a similar relationship for second-shock AMSA₂ (OR 3.53, 95% CI [2.42, 5.14]) and third-shock AMSA₃ (OR 3.10, 95% CI [2.03, 4.73]). The median change in AMSA was 0.24 for ΔAMSA₁₋₂ and 0.21 for ΔAMSA₂₋₃. A positive median change in AMSA between shocks was associated with favorable neurologic survival (OR 1.44, 95% CI [1.16, 1.80] for ΔAMSA₁₋₂ and OR 1.31, 95% CI [1.01, 1.71] for ΔAMSA₂₋₃).

Conclusion: Given their prognostic and dynamic qualities, quantitative waveform measures may provide an effective real-time strategy to guide individual treatment and improve survival.

Citing Articles

Amplitude spectral area of ventricular fibrillation can discriminate survival of patients with out-of-hospital cardiac arrest.

Gentile F, Wik L, Isasi I, Baldi E, Aramendi E, Steen-Hansen J Front Cardiovasc Med. 2024; 11:1336291.

PMID: 38380178 PMC: 10876863. DOI: 10.3389/fcvm.2024.1336291.


An acoustic method (Spectral Flux) to analyze ECG signals for optimizing timing for defibrillation in a porcine model of ventricular fibrillation.

Liu Y, Zhou T, Yang Q, Lu Y, Yang Z, Jiang J Resusc Plus. 2024; 17:100572.

PMID: 38370316 PMC: 10869897. DOI: 10.1016/j.resplu.2024.100572.


Real-time amplitude spectrum area estimation during chest compression from the ECG waveform using a 1D convolutional neural network.

Zuo F, Dai C, Wei L, Gong Y, Yin C, Li Y Front Physiol. 2023; 14:1113524.

PMID: 37153217 PMC: 10157479. DOI: 10.3389/fphys.2023.1113524.


Insights From the Ventricular Fibrillation Waveform Into the Mechanism of Survival Benefit From Bystander Cardiopulmonary Resuscitation.

Bessen B, Coult J, Blackwood J, Hsu C, Kudenchuk P, Rea T J Am Heart Assoc. 2021; 10(19):e020825.

PMID: 34569292 PMC: 8649127. DOI: 10.1161/JAHA.121.020825.


Electrocardiographic recording direction impacts ventricular fibrillation waveform measurements: A potential pitfall for VF-waveform guided defibrillation protocols.

Thannhauser J, Nas J, Vart P, Smeets J, de Boer M, van Royen N Resusc Plus. 2021; 6:100114.

PMID: 34223374 PMC: 8244524. DOI: 10.1016/j.resplu.2021.100114.