Publications by authors named "A Furber"
Background: The appropriate duration of treatment with beta-blocker drugs after a myocardial infarction is unknown. Data are needed on the safety and efficacy of the interruption of long-term beta-blocker treatment to reduce side effects and improve quality of life in patients with a history of uncomplicated myocardial infarction.
Methods: In a multicenter, open label, randomized, noninferiority trial conducted at 49 sites in France, we randomly assigned patients with a history of myocardial infarction, in a 1:1 ratio, to interruption or continuation of beta-blocker treatment.
Background: The anomalous origin of the left circumflex artery from the pulmonary artery (ACXAPA) is a very rare coronary anomaly. Only a few cases have been reported until today, from incidental findings to autopsy reports after sudden cardiac death.
Case Summary: We report here for the first time the case of a man, previously monitored for asymptomatic left ventricular non-compaction cardiomyopathy, who presented with non-ST myocardial infarction and was diagnosed with ACXAPA.
Background Following myocardial infarction, left ventricular remodeling (LVR) is associated with heart failure and cardiac death. At the same time, left atrial (LA) remodeling (LAR) is an essential part of the outcome of a wide spectrum of cardiac conditions. The authors sought to evaluate the correlates of LAR and its relationships with LVR after myocardial infarction.
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- Heart failure (HF) and arrhythmia-related complications significantly impact patients with nonischemic dilated cardiomyopathy (NIDCM), and this study investigates the prognostic value of cardiovascular magnetic resonance (CMR) imaging metrics like T1 and extracellular volume (ECV) for predicting these events.
- Analyzing 225 NIDCM patients over two years, the study found 26% experienced major adverse cardiovascular events (MACE), with a notable association between increased ECV and HF-related events, while higher T1 Z-scores and ECV values correlated with arrhythmia-related events.
- The study concluded that specific cutoffs for ECV and T1 Z-scores can be important independent predictors of both
Article Synopsis
- Researchers aimed to enhance predictions for left ventricular remodeling (LVR) within three months post-myocardial infarction (MI) by utilizing machine learning techniques.
- A study involved 443 ST-elevation MI patients at Angers University Hospital, collecting various clinical, biological, and CMR imaging data to analyze the incidence of LVR using advanced algorithms.
- The most effective machine learning model, a neural network using seven key variables, achieved a higher accuracy (AUC of 0.78) and sensitivity (92%) compared to conventional models, highlighting the benefits of data-driven approaches in predicting LVR.