Background: Ventricular fibrillation is the main cause of sudden cardiac death among patients with acute myocardial infarction (AMI). Substantial benefits could be obtained by both researchers and practitioners if an AMI reperfusion-ventricular fibrillation-cardiac arrest model were established.
Methods: Twenty swine were anesthetized and underwent occlusion of the left anterior descending branch for 90 minutes prior to blood reperfusion. Throughout this process, continuous 12-lead electrocardiography (ECG) was used to monitor heart rate, rhythm, and electrocardiogram alteration. Thereafter, AMI was confirmed by ECG and left ventricular angiography. Heart tissue was collected for pathological analysis, and for evaluation of the establishment of a model of AMI reperfusion.
Results: Seven swine died during the model establishment, and the 13 surviving swine were proven to have myocardial infarction; nine of those survivors had ventricular fibrillation-cardiac arrest after reperfusion based on the electrocardiograph and pathological examination.
Conclusion: Blocking the left anterior descending branch by inflation of an over-the-wire coronary balloon catheter in swine can result in successful establishment of a swine model of AMI and reperfusion-ventricular fibrillation-cardiac arrest, with good reproducibility and a high survival rate.
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http://dx.doi.org/10.1016/j.jcma.2013.05.013 | DOI Listing |
JACC Case Rep
January 2025
Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Structural abnormalities within the right ventricular outflow tract (RVOT) can present similarly to Brugada syndrome. A 34-year-old woman with no medical history presented with polymorphic ventricular tachycardia/ventricular fibrillation cardiac arrest and initial electrocardiogram showed type I Brugada pattern. Cardiac magnetic resonance imaging revealed prominent tissue thickening at the RVOT with late gadolinium enhancement.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFCureus
September 2024
Cardiovascular Disease, Mercy Health - St. Vincent Medical Center, Toledo, USA.
Acute ST-segment elevation myocardial infarction (STEMI) occurs due to occlusion of one or more coronary arteries causing myocardial injury. It is a medical emergency and requires prompt diagnosis and intervention. Transient ST-segment elevation can occur due to coronary vasospasm, and their association has been reported with subarachnoid hemorrhage.
View Article and Find Full Text PDFCureus
September 2024
Internal Medicine, Howard University College of Medicine, Washington DC, USA.
Introduction Annually, a significant number of Americans are hospitalized due to heart failure (HF), marking it as an important contributor to morbidity and mortality. It also poses a substantial financial burden and leads to considerable losses in productivity. Socioeconomic disparities may intensify the risk of hospital admissions following HF and worsen patient outcomes.
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