Articles: cardiac-arrest.
-
Multicenter Study
A simple scoring rule to predict survival to discharge after out of hospital cardiac arrest at the time of ED arrival.
It is important to be able to predict the chance of survival to hospital discharge upon ED arrival in order to determine whether to continue or terminate resuscitation efforts after out of hospital cardiac arrest. This study was conducted to develop and validate a simple scoring rule that could predict survival to hospital discharge at the time of ED arrival. ⋯ A simple scoring rule consisting of five, binary variables could aid in the prediction of the survival to hospital discharge at the time of ED arrival, showing comparable results to conventional machine learning classifiers.
-
Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed to investigate the predictive accuracy of the DeepCARS™ for IHCA or unplanned intensive care unit transfer (UIT) among general ward patients, compared with that of conventional methods in real-world practice. ⋯ The DeepCARS™ predicts IHCA and UIT more accurately and efficiently than conventional methods. Thus, the DeepCARS™ may be an effective screening tool for detecting clinical deterioration in real-world clinical practice. Trial registration This study was registered at ClinicalTrials.gov ( NCT04951973 ) on June 30, 2021.
-
Multicenter Study
CPR Quality and Outcomes After Extracorporeal Life Support for Pediatric In-Hospital Cardiac Arrest.
To determine outcomes in pediatric patients who had an in-hospital cardiac arrest and subsequently received extracorporeal cardiopulmonary resuscitation (ECPR). Our secondary objective was to identify cardiopulmonary resuscitation (CPR) event characteristics and CPR quality metrics associated with survival after ECPR. ⋯ In this multicenter retrospective cohort study of pediatric patients who received ECPR for IHCA we found a high rate of survival to ICU discharge with good neurologic outcome.
-
To analyze the association between hypothermia and neurologic complications among children who were treated with extracorporeal cardiopulmonary resuscitation (ECPR) using the Extracorporeal Life Support Organization (ELSO) international registry. ⋯ Of the 2,289 ECPR encounters, no difference in odds of neurologic complications were found between the hypothermia and non-hypothermia groups (AOR 1.10, 95% CI 0.80-1.51). However, hypothermia exposure was associated with decreased odds of mortality on ECMO (AOR 0.76, 95% CI 0.59-0.97), but no difference in mortality prior to hospital discharge (AOR 0.96, 95% CI 0.76-1.21) CONCLUSION: Analysis of a large, multicenter, international dataset demonstrates that hypothermia for greater than 24 hours among children who undergo ECPR is not associated with decreased neurologic complications or mortality benefit at time of hospital discharge.
-
To describe epinephrine dosing distribution using time-stamped data and assess the impact of dosing strategy on survival after ECPR in children. ⋯ Survivors received fewer doses than non-survivors after the first 10 minutes of CPR and although there was no statistical difference in survival based on dosing strategy, the findings of this study question the conventional approach to EPCR analysis that assumes dosing is evenly distributed.