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September 1, 2017Physiological ReportsOpen Access

Correlation of end tidal carbon dioxide, amplitude spectrum area, and coronary perfusion pressure in a porcine model of cardiac arrest

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Why the study?

Do AMSA and ETCO2 correlate with each other and with myocardial perfusion during different methods of CPR in a porcine model of cardiac arrest?

Population

12 female pigs, isoflurane anesthetized, subjected to 6 minutes of untreated ventricular fibrillation

Comparison

Sequential 3-minute periods of standard CPR… vs Standard CPR (baseline for sequential comparison)

Design

Preclinical, randomized

Authors

NSNicolas SegalAMAnja MetzgerJMJohanna Moore

Discussion

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Overview

AMSA-ETCO2 correlation during VF may inform CPR shock timing; leaves open prospective validation for outcome improvement.

Structured PICO

Do AMSA and ETCO2 correlate with each other and with myocardial perfusion during different methods of CPR in a porcine model of cardiac arrest?

P
Population
12 female pigs (32 ± 1 Kg), isoflurane anesthetized, subjected to 6 minutes of untreated ventricular fibrillation (VF)
I
Intervention
Sequential 3-minute periods of standard (S) CPR, S-CPR + impedance threshold device (ITD), and active compression decompression (ACD) + ITD CPR
C
Comparator
Standard CPR (baseline for sequential comparison)
O
Outcome
Correlation between Amplitude Spectrum Area (AMSA) and end tidal CO2 (ETCO2), and between AMSA and key hemodynamic parameters (coronary perfusion pressure, cerebral perfusion pressure)surrogate

ETCO2 and AMSA show a moderate positive correlation during CPR in a porcine model, providing a physiological basis for using these noninvasive markers to predict defibrillation success.

Cite This Study

Segal et al. (2017) studied this question.

synapsesocial.com/papers/6a76526913be7c199887ffdahttps://doi.org/10.14814/phy2.13401
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Electrocardiographic waveform analysis for predicting the success of defibrillation2000 · 55 citations
  2. 2Combining 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 Patients2016 · 32 citations
  3. 3Coronary Perfusion Pressure and the Return of Spontaneous Circulation in Human Cardiopulmonary Resuscitation1990 · 1,040 citations
  4. 4Amplitude of Ventricular Fibrillation Waveform and Outcome After Cardiac Arrest1985 · 246 citations
  5. 5Part 6: Defibrillation2010 · 88 citations