Detrended fluctuation analysis predicts successful defibrillation for out-of-hospital ventricular fibrillation cardiac arrest

Lian Yu Lin, Men Tzung Lo, Patrick Chow In Ko, Chen Lin, Wen Chu Chiang, Yen Bin Liu, Kun Hu, Jiunn Lee Lin, Wen Jone Chen, Matthew Huei Ming Ma

研究成果: 雜誌貢獻文章

36 引文 斯高帕斯(Scopus)

摘要

Aims: Repeated failed shocks for ventricular fibrillation (VF) in out-of-hospital cardiac arrest (OOHCA) can worsen the outcome. It is very important to rapidly distinguish between early and late VF. We hypothesised that VF waveform analysis based on detrended fluctuation analysis (DFA) can help predict successful defibrillation. Methods: Electrocardiogram (ECG) recordings of VF signals from automated external defibrillators (AEDs) were obtained for subjects with OOHCA in Taipei city. To examine the time effect on DFA, we also analysed VF signals in subjects who experienced sudden cardiac death during Holter study from PhysioNet, a publicly accessible database. Waveform parameters including root-mean-squared (RMS) amplitude, mean amplitude, amplitude spectrum analysis (AMSA), frequency analysis as well as fractal measurements including scaling exponent (SE) and DFA were calculated. A defibrillation was regarded as successful when VF was converted to an organised rhythm within 5. s after each defibrillation. Results: A total of 155 OOHCA subjects (37 successful and 118 unsuccessful defibrillations) with VF were included for analysis. Among the VF waveform parameters, only AMSA (7.61. ±. 3.30 vs. 6.30. ±. 3.13. P= 0.028) and DFAα2 (0.38. ±. 0.24 vs. 0.49. ±. 0.24. P= 0.013) showed significant difference between subjects with successful and unsuccessful defibrillation. The area under the curves (AUCs) for AMSA and DFAα2 was 0.63 (95% confidence interval (CI) = 0.52-0.73) and 0.65 (95% CI = 0.54-0.75), respectively. Among the waveform parameters, only DFAα2, SE and dominant frequency showed significant time effect. Conclusions: The VF waveform analysis based on DFA could help predict first-shock defibrillation success in patients with OOHCA. The clinical utility of the approach deserves further investigation.
原文英語
頁(從 - 到)297-301
頁數5
期刊Resuscitation
81
發行號3
DOIs
出版狀態已發佈 - 三月 1 2010
對外發佈Yes

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Emergency
  • Emergency Medicine

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    Lin, L. Y., Lo, M. T., Ko, P. C. I., Lin, C., Chiang, W. C., Liu, Y. B., Hu, K., Lin, J. L., Chen, W. J., & Ma, M. H. M. (2010). Detrended fluctuation analysis predicts successful defibrillation for out-of-hospital ventricular fibrillation cardiac arrest. Resuscitation, 81(3), 297-301. https://doi.org/10.1016/j.resuscitation.2009.12.003