Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T00:32:42.875Z Has data issue: false hasContentIssue false

MP03: Predicting survival after pediatric out-of-hospital cardiac arrest

Published online by Cambridge University Press:  15 May 2017

I. Drennan*
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
K. Thorpe
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
S. Cheskes
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
M. Mamdani
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
D. Scales
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
A. Guerguerian
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
L.J. Morrison
Affiliation:
Rescu, St. Michael’s Hospital, Toronto, ON
*
*Corresponding authors

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Introduction: Pediatric out-of-hospital cardiac arrest (OHCA) is unique in terms of epidemiology, treatment, and outcomes. There is a paucity of literature examining predictors of survival to help guide resuscitation in this population. Objective: The primary objective was to examine predictors of survival to hospital discharge. The secondary objective was to determine the probability of return of spontaneous circulation (ROSC) over the duration of resuscitation. Methods: We performed a retrospective cohort study of non-traumatic OHCA (<18 years) treated by EMS from the Toronto Regional RescuNET Epistry-Cardiac Arrest database from 2006 to 2015. We used competing risk analysis to calculate the probability of ROSC over the duration of resuscitation. We then used multivariable logistic regression to examine the role of Utstein factors and duration of resuscitation in predicting survival to hospital discharge. Candidate variables were limited to Utstein factors and duration of resuscitation due to the number of events. We used area under the receiver operating characteristic (ROC) curve (AUC) to determine the predictive ability of our logistic regression model. Results: A total of 658 patients met inclusion criteria. Survival to discharge was 10.2% with 70.1% of those children having a good neurologic outcome. The overall median time to ROSC was 23.9 min. (IQR 15.0,36.7). However, the median time to ROSC for survivors was significantly shorter than the time to ROSC for patients who died in hospital (15.9 (IQR 10.6 to 22.8) vs. 33.2 (IQR 22.0 to 48.6); P value <0.001). There was a decrease in the odds of survival of 14% per minute during the first 25 minutes of cardiac arrest. Older age (OR 0.9, 95% CI 0.86,0.99), and longer duration of resuscitation (OR 0.9, 95% CI 0.88,0.93) were associated with worse outcome while initial shockable rhythm (OR 5.8, 95% CI 2.0,16.5), and witnessed arrests (OR 2.4, 95% CI 1.10,5.30) were associated with improved patient outcome. The AUC for the Utstein factors was fair (0.77). Including duration of resuscitation improved the discrimination of the model to 0.85. Conclusion: Inclusion of duration of resuscitation improved the performance of our model compared to Utstein factors alone. However, our results suggest there are a number of other important factors for predicting patient outcome from pediatric OHCA.

Type
Moderated Poster Presentations
Copyright
Copyright © Canadian Association of Emergency Physicians 2017