Prediction of Shock-refractory Ventricular Fibrillation in Patients with Out-of-Hospital Cardiac Arrest: External Validation of an ECG-based Approach

The authors aimed to externally validate an ECG-based approach for predicting shock-refractory ventricular fibrillation (VF) in patients experiencing out-of-hospital cardiac arrest (OHCA). Using a retrospective cohort from the Seoul OHCA registry, they found that a logistic model incorporating 25 ECG features effectively predicted patients requiring multiple shocks, demonstrating robust performance with area under the curve (AUC) values comparable to those from the original study. This suggests that the ECG feature analysis could be a valuable tool for personalizing resuscitation strategies in this patient population.