Resuscitation
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Understanding the impact of social determinants of health (SDOH) on CA, including access to care pre-cardiac arrest (CA) can improve outcomes. Large databases, such as Epic Cosmos, can help identify trends in patient demographics and SDOH that identify gaps in care. The purpose of this study was to determine the incidence of CA and subsequent mortality in a large national database across patient demographics and social determinants and characterize pre-arrest care patterns. ⋯ SDOH have a significant impact on the risk of CA, pre-arrest care patterns, and post-arrest mortality. Determining the impact that SDOH have on the CA care continuum provides can provide actionable targets to prevent CA and subsequent mortality.
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This study aimed to predict blood pressure during CPR using chest compression waveform information obtained from a CPR feedback device. ⋯ Blood pressure generated by chest compressions can be predicted with high accuracy by a machine learning method using chest compression waveform information obtained from a CPR feedback device and the patient's demographic characteristics. Real-time provision of the predicted blood pressure can be used to monitor the quality and efficacy of CPR.