Title :
A new algorithm to diagnose during chest compressions: Effect on cardiopulmonary resuscitation delivery
Author :
Ayala, Unai ; Irusta, Unai ; Ruiz, Juan-Carlos ; Gonzalez-Otero, Digna ; Alonso, E. ; Kramer-Johansen, Jo ; Eftestol, T.
Author_Institution :
Univ. of the Basque Country (UPV/EHU), Bilbao, Spain
Abstract :
Rhythm analysis methods for shock advice during CPR are evaluated in terms of sensitivity and specificity. However, these figures do not convey the real impact that using these methods would have on the delivery of CPR. This study evaluates the impact on CPR delivery of a new rhythm analysis method. First, the original method was modified to increase the reliability of a shock diagnosis by the addition of high and low confidence diagnoses and the combination of several diagnoses before deciding a shock. Compared to the current CPR guidelines, the modified rhythm analysis method showed a 94.4% probability of delivering the shock earlier to patients in shockable rhythms and a 94.1% probability of reducing CPR interruptions for rhythm reassessment in nonshockable rhythms. Although the results are promising further testing is needed on complete resuscitation episodes.
Keywords :
bioelectric potentials; cardiovascular system; electrocardiography; probability; CPR guidelines; cardiopulmonary resuscitation delivery; chest compression diagnosis; nonshockable rhythms; probability; resuscitation episodes; rhythm analysis methods; shock diagnosis; Cardiac arrest; Databases; Electric shock; Electrocardiography; Guidelines; Reliability; Rhythm;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4