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June 1, 2000Current Opinion in Critical Care

Electrocardiographic prediction of cardiopulmonary resuscitation success

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Why the study?

Does electrocardiogram spectral analysis predict cardiopulmonary resuscitation success in victims of cardiac arrest?

Population

Laboratory animals and human victims of cardiac arrest

Design

Review

Authors

HSHans-Ulrich StrohmengerVWVolker Wenzel

Discussion

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Overview

Filtering for CPR interference impairs FFT prediction in patients; leaves open spectral analysis utility pending refined methods and trials.

Structured PICO

Does electrocardiogram spectral analysis predict cardiopulmonary resuscitation success in victims of cardiac arrest?

P
Population
Laboratory animals and human victims of cardiac arrest
I
Intervention
Electrocardiogram spectral analysis (ventricular fibrillation median frequency, dominant frequency, and voltage amplitude)
O
Outcome
Prediction of countershock success and efficacy of ongoing cardiopulmonary resuscitation efforts

While ECG spectral analysis shows promise for predicting CPR success, current filtering methods deteriorate predictive power in humans, necessitating further clinical trials and alternative analytical methods.

Limitations

  • Filters deteriorate predictive power of fast Fourier transform analysis in humans
  • Requires further large prospective clinical trials before wide employment

Cite This Study

Strohmenger et al. (2000) studied this question.

synapsesocial.com/papers/6a8a97f44de818ad79d45cfbhttps://doi.org/10.1097/00075198-200006000-00009
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Also Consider

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

  1. 1Prediction of Countershock Success2009 · 9 citations
  2. 2Algorithms to analyze ventricular fibrillation signals2001 · 29 citations
  3. 3Electrocardiographic waveform analysis for predicting the success of defibrillation2000 · 56 citations
  4. 4Prediction of Countershock Success in Patients Using the Autoregressive Spectral Estimation2011 · 1 citations
  5. 5See through ECG technology during cardiopulmonary resuscitation to analyze rhythm and predict defibrillation outcome2016 · 32 citations