Resuscitation
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Resuscitation of cardiac arrest involves invasive and traumatic interventions and places a large burden on limited EMS resources. Our aim was to identify prehospital cardiac arrests for which resuscitation is extremely unlikely to result in survival to hospital discharge. ⋯ A simple decision rule (non-shockable rhythm, unwitnessed arrest, age ≥ 80) identifies arrests for which resuscitation is futile. If validated, this rule could be applied by EMS policymakers to identify cardiac arrests for which the trauma and expense of resuscitation are extremely unlikely to result in survival.
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This study aimed to train, validate and compare predictive models that use machine learning analysis for good neurological recovery in OHCA patients. ⋯ The best performing machine learning algorithm was the XGB and LR algorithm.
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To evaluate the Inadequate oxygen delivery (IDO2) index dose as a predictor of cardiac arrest (CA) in neonates following congenital heart surgery. ⋯ In neonates post-CPB surgery, higher IDO2 index dose over a 120-min monitoring period is associated with increased risk of cardiac arrest, even when censoring data 10, 20 or 30 min prior to the CA event.