Publications by authors named "J M Florence"
Background Ischemic late gadolinium enhancement (LGE) assessed with cardiac MRI is a well-established prognosticator in ischemic cardiomyopathy. However, the prognostic value of additional LGE parameters, such as extent, transmurality, location, and associated midwall LGE, remains unclear. Purpose To assess the prognostic value of ischemic LGE features to predict all-cause mortality in ischemic cardiomyopathy.
View Article and Find Full Text PDFMethicillin-resistant (MRSA), in which acquisition of [which encodes the cell wall peptidoglycan biosynthesis component penicillin-binding protein 2a (PBP2a)] confers resistance to β-lactam antibiotics, is of major clinical concern. We show that, in the presence of antibiotics, MRSA adopts an alternative mode of cell division and shows an altered peptidoglycan architecture at the division septum. PBP2a can replace the transpeptidase activity of the endogenous and essential PBP2 but not that of PBP1, which is responsible for the distinctive native septal peptidoglycan architecture.
View Article and Find Full Text PDFArticle Synopsis
- Bleeding in the pleural space can lead to retained hemothorax (RH), causing lung issues and shortness of breath due to clot formation.
- Researchers tested single-chain urokinase (scuPA) for intrapleural clot dissolution in a rabbit model, comparing its effectiveness against another agent, single-chain tissue plasminogen activator (sctPA).
- Results indicated that delivering two doses of scuPA was more effective than a single higher dose, and both agents were equally capable of clearing clots and promoting fluid drainage, though more clinical trials are needed to determine the best treatment approach.
Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance.
Eur Heart J Cardiovasc Imaging
September 2024
Article Synopsis
- This study examined whether an AI-based method for measuring left ventricular ejection fraction (LVEF) during stress tests could better predict death in patients compared to traditional methods.
- Researchers analyzed data from over 9,700 patients, finding a strong correlation between AI-measured stress LVEF and expert-measured LVEF, as well as a significant association with all-cause mortality.
- The study concluded that the AI method provides valuable prognostic information that improves risk assessment beyond conventional factors and traditional stress CMR findings.
Background: Tuberculosis (TB), caused by (), continues to be a major public health problem worldwide. The human immunodeficiency virus (HIV) is another equally important life-threatening pathogen. HIV infection decreases CD4+ T cell levels markedly increasing co-infections.
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