Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest.
Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest.
复制标题
使用庞加莱图步进增量预测院外室颤心脏骤停的除颤结果。
DOI：
10.1155/2015/493472
复制
发表时间：
2015
影响因子：
--
通讯作者：
Li Y
中科院分区：
文献类型：
--
作者：
Gong Y;Lu Y;Zhang L;Zhang H;Li Y
早期心肺复苏和早期除颤是心脏骤停存活链中的关键环节。通过预测电击成功的可能性来优化除颤的时机，可以指导除颤和心肺复苏之间的治疗，提高自主循环的恢复率。在过去的几十年里，已经提出了许多方法来基于室颤波形的量化来预测除颤成功。然而，到目前为止，还没有分析技术被广泛接受用于临床应用。在本研究中，我们研究了由庞加莱曲线上的连续点的欧几里得距离计算出的中位数步长增量是否可以用来预测成功除颤的可能性。院外心脏骤停患者的心电图记录从体外除颤器获得。通过接收机工作特性曲线对该方法的性能进行了评估，并与其他已有特征的结果进行了比较。结果表明，在预测成功除颤的可能性方面，中位数步长增量与已建立的方法具有相当的性能。
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.