caa a22 4500 445372818 CHVBK 20180317142953.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s00540-010-1043-x doi (NATIONALLICENCE)springer-10.1007/s00540-010-1043-x Prompt prediction of successful defibrillation from 1-s ventricular fibrillation waveform in patients with out-of-hospital sudden cardiac arrest [Elektronische Daten] [Hiroshi Endoh, Seiji Hida, Satomi Oohashi, Yusuke Hayashi, Hidenori Kinoshita, Tadayuki Honda] Abstracts: Purpose: Ventricular fibrillation (VF) is a common cardiac arrest rhythm that can be terminated by electrical defibrillation. During cardiopulmonary resuscitation, there is a strong need for a prompt and reliable predictor of successful defibrillation because myocardial damage can result from repeated futile defibrillation attempts. Continuous wavelet transform (CWT) provides excellent time and frequency resolution of signals. The purpose of this study was to evaluate whether features based on CWT could predict successful defibrillation. Methods: VF electrocardiogram (ECG) waveforms stored in ambulance-located defibrillators were collected. Predefibrillation waveforms were divided into 1.0- or 5.12-s VF waveforms. Indices in frequency domain or nonlinear analysis were calculated on the 5.12-s waveform. Simultaneously, CWT was performed on the 1.0-s waveform, and total low-band (1-3Hz), mid-band (3-10Hz), and high-band (10-32Hz) energy were calculated. Results: In 152 patients with out-of-hospital cardiac arrest, a total of 233 ECG predefibrillation recordings, consisting of 164 unsuccessful and 69 successful episodes, were analyzed. Indices of frequency domain analysis (peak frequency, centroid frequency, and amplitude spectral area), nonlinear analysis (approximate entropy and Hurst exponent, detrended fluctuation analysis), and CWT analysis (mid-band and high-band energy) were significantly different between unsuccessful and successful episodes (P<0.01 for all). However, logistic regression analysis showed that centroid frequency and total mid-band energy were effective predictors (P<0.01 for both). Conclusions: Energy spectrum analysis based on CWT as short as a 1.0-s VF ECG waveform enables prompt and reliable prediction of successful defibrillation. Japanese Society of Anesthesiologists, 2010 Out-of-hospital cardiac arrest nationallicence Cardiopulmonary resuscitation nationallicence Defibrillation nationallicence Electrocardiogram nationallicence Outcome nationallicence Endoh Hiroshi Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Hida Seiji Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Oohashi Satomi Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Hayashi Yusuke Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Kinoshita Hidenori Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Honda Tadayuki Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut Journal of Anesthesia Springer Japan 25/1(2011-02-01), 34-41 0913-8668 25:1<34 2011 25 540 https://doi.org/10.1007/s00540-010-1043-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00540-010-1043-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Endoh Hiroshi Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 700 1- Hida Seiji Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 700 1- Oohashi Satomi Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 700 1- Hayashi Yusuke Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 700 1- Kinoshita Hidenori Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 700 1- Honda Tadayuki Division of Emergency and Critical Care Medicine, Niigata University Graduate School of Medical and Dental Science, 1-757 Asahi-machi, Cyuoku, 951-8510, Niigata, Japan aut NATIONALLICENCE 773 0- Journal of Anesthesia Springer Japan 25/1(2011-02-01), 34-41 0913-8668 25:1<34 2011 25 540 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer