Resuscitation
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Regionalisation and organised pathways of care using specialist centre hospitals can improve outcomes for critically ill patients. Cardiac arrest centre hospitals (CAC) may optimise the delivery of post-resuscitation care. The International Liaison Committee on Resuscitation (ILCOR) has called for a review of the current evidence base. ⋯ This review supports a weak recommendation that adults with out-of-hospital cardiac arrest are cared for at CACs based on very low certainty of evidence. Randomised evidence has not confirmed the benefits of CACs found in observational studies, however this RCT was a single trial in a very specific setting and a population without ST elevation on post-ROSC ECG. The role of CACs in shockable and non-shockable subgroups, direct versus secondary transfer, as well as the impact of increased transport time and bypassing local hospitals remains unclear.
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We aimed to estimate the effect of extracorporeal cardiopulmonary resuscitation (ECPR) on neurological outcome and mortality, when compared to conventional cardiopulmonary resuscitation (CCPR), using an individual patient data meta-analysis (IPDMA). ⋯ This IPDMA showed that ECPR was associated with significantly lower rates of unfavorable neurological outcome and mortality in refractory CA. The overall effect could be influenced by CA characteristics and the severity of the initial injury.
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Comparative Study
Comparative cost-effectiveness of termination of resuscitation rules for patients transported in cardiac arrest.
To compare the cost-effectiveness of termination-of-resuscitation (TOR) rules for patients transported in cardiac arrest. ⋯ The KOC 2 rule is the most cost-effective at established cost-effectiveness thresholds used to inform health care decision-making in the UK. Further research on economic implications of TOR rules is warranted to support constructive discussion on implementing TOR rules.
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This scientific statement presents a conceptual framework for the pathophysiology of post-cardiac arrest brain injury, explores reasons for previous failure to translate preclinical data to clinical practice, and outlines potential paths forward. Post-cardiac arrest brain injury is characterized by 4 distinct but overlapping phases: ischemic depolarization, reperfusion repolarization, dysregulation, and recovery and repair. Previous research has been challenging because of the limitations of laboratory models; heterogeneity in the patient populations enrolled; overoptimistic estimation of treatment effects leading to suboptimal sample sizes; timing and route of intervention delivery; limited or absent evidence that the intervention has engaged the mechanistic target; and heterogeneity in postresuscitation care, prognostication, and withdrawal of life-sustaining treatments. ⋯ Studies need to be adequately powered to detect effect sizes that are realistic and meaningful to patients, their families, and clinicians. Study designs should be optimized to accelerate the evaluation of the most promising interventions. Multidisciplinary and international collaboration will be essential to realize the goal of developing effective therapies for post-cardiac arrest brain injury.
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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.