To explore the prediction of the success rate of cardiopulmonary resuscitation in patients with pre-hospital cardiac arrest by first-aid time.

From December 2017 to August 2021, 331 patients with pre-hospital cardiac arrest who had undergone cardiopulmonary resuscitation after 120 visits in pre-hospital firs-aid were selected as research objects, and were divided into groups according to whether the rescue was successful or not. Two groups were compared in age, gender, etiology, ECG type and emergency response time (including response time, scene time and transport time). The influencing factors of successful cardiopulmonary resuscitation were analyzed by binary logistic regression, and the sensitivity and specificity of response time to predict successful cardiopulmonary resuscitation were analyzed by receiver operating characteristics (ROC) curve.

Binary logistic regression analysis showed that response time was an influencing factor for the success of cardiopulmonary resuscitation. For every 1 minute increase in response time, the probability of cardiopulmonary resuscitation failure increased by 1.160 times (95% CI: 1.089~1.237, Wald=21.011, P<0.05). ROC curve analysis showed that the area under the ROC curve of response time was 0.779(95% CI: 0.718~0.840), the optimal cut-off point was 16.65 min, the Youden index was 0.468, and the sensitivity and specificity were 69.9% and 76.9%, respectively.

Response time can predict the success rate of cardiopulmonary resuscitation, while scene time and transit time do not affect the success rate of cardiopulmonary resuscitation.