Resuscitation
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Randomized Controlled Trial Multicenter Study
Hypothermia in patients with cardiac arrest prior to ECMO-VA: Insight from the HYPO-ECMO trial.
Venoarterial extracorporeal membrane oxygenation (VA-ECMO) has become a common intervention for patients with cardiogenic shock (CS), often complicated by cardiac arrest (CA). Moderate hypothermia (MH) has shown promise in mitigating ischemia-reperfusion injury following CA. The HYPO-ECMO trial aimed to compare the effect of MH versus normothermia in refractory CS rescued by VA-ECMO. The primary aim of this non-predefined post hoc study was to assess the treatment effect of MH in the subgroup of patients with cardiac arrest (CA) within the HYPO-ECMO trial. Additionally, we will evaluate the prognostic significance of CA in these patients. ⋯ This post hoc analysis suggests that MH shows potential for reducing mortality and composite endpoints in patients with cardiac arrest and refractory CS treated with VA-ECMO without an increased risk of severe bleeding or infection. Further research is needed to validate these findings and elucidate underlying mechanisms.
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Cardiac arrest (CA) is the third leading cause of death, with persistently low survival rates despite medical advancements. This article evaluates the potential of emerging technologies to enhance CA management over the next decade, using predictions from the AI tools ChatGPT-4 and Gemini Advanced. ⋯ Integrating advanced monitoring technologies and AI-driven tools offers hope in improving CA management. A balanced approach involving rigorous scientific validation and ethical oversight is necessary. Collaboration among technologists, medical professionals, ethicists, and policymakers is crucial to use these innovations ethically to reduce CA incidence and enhance outcomes. Further research is needed to enhance the reliability of AI predictive capabilities.
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Multicenter Study Observational Study
Regional Brain Net Water Uptake in Computed Tomography after Cardiac Arrest - A Novel Biomarker for Neuroprognostication.
Selective water uptake by neurons and glial cells and subsequent brain tissue oedema are key pathophysiological processes of hypoxic-ischemic encephalopathy (HIE) after cardiac arrest (CA). Although brain computed tomography (CT) is widely used to assess the severity of HIE, changes of brain radiodensity over time have not been investigated. These could be used to quantify regional brain net water uptake (NWU), a potential prognostic biomarker. ⋯ This pilot study indicates that NWU derived from serial head CTs is a promising novel biomarker for outcome prediction after CA. NWU >8% in basal ganglia grey matter regions predicted poor outcome while absence of NWU indicated good outcome. NWU and follow-up CTs should be investigated in larger, prospective trials with standardized CT acquisition protocols.
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CT perfusion is a valuable tool for evaluating cerebrovascular diseases, but its role in patients with hypoxic ischaemic encephalopathy is unclear. This study aimed to investigate 1) the patterns of cerebral perfusion changes that may occur early on after successful resuscitation, and 2) their correlation with clinical outcome to explore their value for predicting outcome. ⋯ This pilot study identified various perfusion patterns in patients after resuscitation, indicative of circulatory changes associated with post-cardiac-arrest brain injury. After validation, certain patterns could potentially be used in conjunction with other prognostic markers for stratifying patients and adjusting personalized treatment following cardiopulmonary resuscitation. Normal brain perfusion within 12 h after resuscitation is predictive of favourable outcome with high specificity.