Resuscitation
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Multicenter Study Observational Study
EEG for good outcome prediction after cardiac arrest: a multicentre cohort study.
Assess the prognostic ability of a non-highly malignant and reactive EEG to predict good outcome after cardiac arrest (CA). ⋯ Nearly one-third of comatose patients resuscitated after CA had a non-highly malignant and reactive EEG that was associated with a good long-term outcome. Reactivity testing should be routinely performed since preserved EEG reactivity contributed to prognostic performance.
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Randomized Controlled Trial Observational Study
Combined use of the Montreal Cognitive Assessment and Symbol Digit Modalities Test improves neurocognitive screening accuracy after cardiac arrest: A validation sub-study of the TTM2 trial.
To assess the merit of clinical assessment tools in a neurocognitive screening following out-of-hospital cardiac arrest (OHCA). ⋯ gov Identifier: NCT03543371.
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Multicenter Study Observational Study
Performance of the ERC/ESICM-recommendations for neuroprognostication after cardiac arrest: insights from a prospective multicenter cohort.
To investigate the performance of the 2021 ERC/ESICM-recommended algorithm for predicting poor outcome after cardiac arrest (CA) and potential tools for predicting neurological recovery in patients with indeterminate outcome. ⋯ All comatose resuscitated patients who fulfilled the ERC-ESICM criteria for poor outcome after CA had poor outcome at three months, even if a self-fulfilling prophecy cannot be completely excluded. In patients with indeterminate outcome (half of the population), favourable signs predicted neurological recovery, reducing prognostic uncertainty.
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Adherence to post-cardiac arrest care (PCAC) recommendations is associated with improved outcomes for adults. We aimed to describe the survival impact of meeting American Heart Association (AHA) PCAC guidelines in children after cardiac arrest. ⋯ In this retrospective multicenter registry study, absence of both post-cardiac arrest hypotension and fever were associated with increased odds of survival to hospital discharge. Further research is needed to understand the full impact of PCAC recommendation compliance on survival outcomes.
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This study introduces RealCAC-Net, an artificial intelligence (AI) system, to quantify carotid artery compressibility (CAC) and determine the return of spontaneous circulation (ROSC) during cardiopulmonary resuscitation. ⋯ RealCAC-Net enabled precise CAC quantification for ROSC determination during cardiopulmonary resuscitation. Future research should integrate this AI-enhanced ultrasound approach to revolutionize emergency care.