Resuscitation
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Accurate prediction of complications often informs shared decision-making. Derived over 10 years ago to enhance prediction of intra/post-operative myocardial infarction and cardiac arrest (MI/CA), the Gupta score has been criticized for unreliable calibration and inclusion of a wide spectrum of unrelated operations. In the present study, we developed a novel machine learning (ML) model to estimate perioperative risk of MI/CA and compared it to the Gupta score. ⋯ The present ML model outperformed the Gupta score in the prognostication of MI/CA across a heterogenous range of operations. Given the growing integration of ML into healthcare, such models may be readily incorporated into clinical practice and guide benchmarking efforts.
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In patients undergoing cardiopulmonary resuscitation (CPR) after an Out-of-Hospital Cardiac Arrest (OHCA), intrathoracic airway closure can impede ventilation, adversely affecting patient outcomes. This explorative study investigates the evolution of intrathoracic airway closure by analyzing the lower inflection point (LIP) during the inspiration phase of CPR, aiming to identify the potential thresholds for alveolar recruitment. ⋯ These explorative data demonstrate a predominantly negative trajectory in LIP evolution during CPR, suggesting potential challenges in maintaining airway patency. Limitations include a small sample size and sensor recording issues. Further research is warranted to explore the evolution of LIP and its implications for personalized ventilation strategies in CPR.
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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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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.