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Ventricular arrhythmias induced by ischemia/reperfusion injury limits the therapeutic effect of early reperfusion therapy for acute myocardial infarction. This study investigated the protective effects of the β2-adrenergic receptor (β2-AR) agonist clenbuterol against ischemia/reperfusion-induced arrhythmias and the underlying mechanism. Anesthetized rats were subjected to 10-min left coronary artery occlusion and 10-min reperfusion in vivo.

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Background: Primary percutaneous coronary intervention (PPCI) and fibrinolytic or thrombolytic therapy are common treatments for ST-elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention is more effective than thrombolytic therapy, but fibrinolytic therapy is still a preferable option for patients with limited access to healthcare. Alteplase is a tissue plasminogen activator (tPA) used to treat acute myocardial infarction, acute ischemic stroke, and pulmonary embolism.

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The concomitant use of IMPELLA and veno-arterial extracorporeal membrane oxygenation (V-A ECMO) (ECPELLA) has been increasingly used to treat severe cardiogenic shock. However, the relationship between severity of heart failure on admission and prognosis based on differences in the mechanical circulatory support (MCS) is not fully understood. This study evaluated the association between lactate levels on admission and clinical outcomes based on differences in MCS.

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Fast and interpretable mortality risk scores for critical care patients.

J Am Med Inform Assoc

January 2025

Department of Computer Science, Duke University, Durham, NC 27708, United States.

Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.

Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.

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Background: Acute myocardial infarction (AMI), a subset of acute coronary syndrome, remains the major cause of mortality worldwide. Mitochondrial dysfunction is critically involved in AMI progression, and mitophagy plays a vital role in eliminating damaged mitochondria. This study aimed to explore mitophagy-related biomarkers and their potential molecular basis in AMI.

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