The American journal of emergency medicine
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Post-cardiac arrest care advancements have improved resuscitation outcomes, but many survivors still face severe neurological deficits or death from brain injury. Herein, we propose a consistent prognosis prediction approach using magnetic resonance imaging (MRI) to analyze anatomical regions represented by the gray and white matter, and subsequently apply it on computed tomography (CT) to calculate the gray-white matter ratio (GWR). We compared this novel method with traditional measures to validate its ability to predict the prognosis of patients resuscitated after cardiac arrest. ⋯ Our study introduces a novel method for measuring GWR using MRI-based brain CT, demonstrating superior prognostic accuracy in predicting neurological outcomes in patients with post-cardiac arrest syndrome compared to traditional methods.
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When the initial rhythm of cardiac arrest is non-shockable, resuscitation outcomes tend to be unfavorable. However, signs of life (gasping, pupillary light reaction, or any form of body movement) have been suggested as favorable prognostic factors for patients with refractory cardiac arrest who are undergoing extracorporeal cardiopulmonary resuscitation (ECPR). This study determined whether signs of life are favorable neurological prognostic factors for patients undergoing ECPR post non-shockable cardiac arrest. ⋯ Signs of life during resuscitation were favorable prognostic factors in patients with refractory cardiac arrest and non-shockable rhythm. When these patients are considered for ECPR, the status of signs of life during resuscitation may facilitate the decision to perform ECPR.