Wei-Ting Chen1, Min-Shan Tsai2, Shang-Ho Tsai3, Yu-Chen Fang Jiang3, Teck-Jin Yang4, Chien-Hua Huang1, Wei-Tien Chang1, Wen-Jone Chen3. 1. National Taiwan University Medical College and Hospital Department of Emergency Medicine Taipei Taiwan. 2. National Taiwan University Hospital Hsin-Chu Branch Department of Emergency Medicine Hsinchu Taiwan. 3. National Chiao Tung University Department of Electrical Engineering Hsinchu Taiwan. 4. Sijhih Cathay General Hospital Department of Emergency Medicine Taipei Taiwan.
Abstract
BACKGROUND: To evaluate whether the frequency variation of ventricular fibrillation (VF) helps to predict successful defibrillation in a rat model of cardiac arrest. METHODS: VF was induced in rats followed by cardiopulmonary resuscitation and then defibrillation. The electrocardiographic signals of 30 rats with first-shock success were obtained from our previous animal experiments, and 300 rats without first-shock success were selected as control. The VF waveform immediately before the first defibrillation was analyzed. RESULTS: Eighty-eight percentages of the frequency variations of an electrocardiogram (ECG) record falling in the range -9.5-9.5 Hz was selected with sensitivity of 0.8, specificity of 0.583, and area under curve (AUC) of 0.708. Compared with amplitude spectrum area (AMSA) (sensitivity = 0.767, specificity= 0.547, and AUC = 0.678), combining frequency variation and AMSA significantly increases the predictability with sensitivity of 0.933, specificity of 0.493, and AUC of 0.732 (p = 0.005). CONCLUSIONS: The frequency variation of VF may serve a useful parameter to predict defibrillation success.
BACKGROUND: To evaluate whether the frequency variation of ventricular fibrillation (VF) helps to predict successful defibrillation in a rat model of cardiac arrest. METHODS: VF was induced in rats followed by cardiopulmonary resuscitation and then defibrillation. The electrocardiographic signals of 30 rats with first-shock success were obtained from our previous animal experiments, and 300 rats without first-shock success were selected as control. The VF waveform immediately before the first defibrillation was analyzed. RESULTS: Eighty-eight percentages of the frequency variations of an electrocardiogram (ECG) record falling in the range -9.5-9.5 Hz was selected with sensitivity of 0.8, specificity of 0.583, and area under curve (AUC) of 0.708. Compared with amplitude spectrum area (AMSA) (sensitivity = 0.767, specificity= 0.547, and AUC = 0.678), combining frequency variation and AMSA significantly increases the predictability with sensitivity of 0.933, specificity of 0.493, and AUC of 0.732 (p = 0.005). CONCLUSIONS: The frequency variation of VF may serve a useful parameter to predict defibrillation success.
Authors: Wanchun Tang; David Snyder; Jinglan Wang; Lei Huang; Yun-Te Chang; Shijie Sun; Max Harry Weil Journal: Circulation Date: 2006-06-05 Impact factor: 29.690