Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest.

Abstract

Early cardiopulmonary resuscitation together with early defibrillation is a key point in the chain of survival for cardiac arrest. Optimizing the timing of defibrillation by predicting the possibility of successful electric shock can guide treatments between defibrillation and cardiopulmonary resuscitation and improve the rate of restoration of spontaneous circulation. Numerous methods have been proposed for predicting defibrillation success based on quantification of the ventricular fibrillation waveform during past decades. To date, however, no analytical technique has been widely accepted for clinical application. In the present study, we investigate whether median stepping increment that is calculated from the Euclidean distance of consecutive points in Poincare plot could be used to predict the likelihood of successful defibrillation. Electrocardiographic recordings of out-of-hospital cardiac arrest patients were obtained from the external defibrillators. The performance of the proposed method was evaluated by receiver operating characteristic curve and compared with the results of other established features. The results indicated that median stepping increment has comparable performance to the established methods in predicting the likelihood of successful defibrillation.

• Authors: Yushun Gong, Yubao Lu, Lei Zhang, Hehua Zhang, Yongqin Li
• Journal: BioMed research international (Biomed Res Int) Vol. 2015 Pg. 493472 ( 2015) ISSN: 2314-6141 [Electronic] United States
• PMID: 26413527 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Electric Countershock (statistics & numerical data)
• Electrocardiography
• Humans
• Models, Statistical
• Out-of-Hospital Cardiac Arrest (therapy)
• ROC Curve
• Treatment Outcome
• Ventricular Fibrillation (therapy)