Resuscitation
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Predicting outcome after cardiac arrest is challenging. We previously tested group-based trajectory modeling (GBTM) for prognostication based on baseline characteristics and quantitative electroencephalographic (EEG) trajectories. Here, we describe implementation of this method in a freely available software package and test its performance against alternative options. ⋯ We explored fundamentally different tools for patient-level predictions based on longitudinal and time-invariant patient data. Of the evaluated methods, GBTM resulted in optimal sensitivity while maintaining a false positive rate <1%. The provided code and software of this method provides an easy-to-use implementation for outcome prediction based on GBTMs.
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Bystander CPR before the arrival of EMS is a major factor in out of hospital cardiac arrest (OHCA) survival. To recruit trained bystanders, mobile phone-based alert systems have been developed, but their limitations are not well understood. ⋯ In this region, most PulsePoint alerts had unwalkable areas, mostly from terrain and water. Contrary to our initial hypotheses, moderately increasing dispatch radius did not improve walkability.
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Do-not-attempt-cardiopulmonary-resuscitation (DNACPR) practice has been shown to be variable and sub-optimal. This paper describes the development of the Recommended Summary Plan for Emergency Care and Treatment (ReSPECT). ReSPECT is a process which encourages shared understanding of a patient's condition and what outcomes they value and fear, before recording clinical recommendations about cardiopulmonary-resuscitation (CPR) within a broader plan for emergency care and treatment. ⋯ ReSPECT is designed to facilitate discussions about a person's preferences to inform emergency care and treatment plans (including CPR) for use across all health and care settings. It has been developed iteratively with a range of stakeholders. Further research will be needed to assess the influence of ReSPECT on patient-centred decisions, experience and health outcomes.