Publications by authors named "S E Lester"
Background: Lipoprotein(a) [Lp(a)] is an independent, causal risk factor for cardiovascular disease. However, it is still unclear whether controlling low-density lipoprotein cholesterol (LDL-C) to optimal levels can attenuate cardiovascular risk mediated by elevated Lp(a), especially in the setting of secondary prevention.
Methods: Adult patients with a baseline Lp(a) measurement who underwent percutaneous coronary intervention (PCI) and reached their LDL-C target levels (<70 mg/dl) at Mayo Clinic sites between 2006 and 2017 were included.
Article Synopsis
- The study focused on developing an AI model to predict myocarditis and cardiovascular issues in cancer patients undergoing immune checkpoint inhibitor therapy, which can improve cancer prognosis but poses cardiovascular risks.
- The researchers reviewed data from 2,258 patients treated between 2011 and 2022, finding that 11.7% experienced serious cardiovascular events related to the therapy.
- The AI model, combining electrocardiogram (ECG) data and patient characteristics, showed strong predictive performance with a 0.72 area under the curve, suggesting it could help identify at-risk patients for better clinical management.
Objectives: Spatially fractionated radiation therapy (SFRT) intentionally delivers a heterogeneous dose distribution characterized by alternating regions of high and low doses throughout a tumor. This modality may enhance response to subsequent whole tumor radiation in bulky and radioresistant lesions that are historically less responsive to conventional radiation doses alone. The current study presents a single institution experience with modern era SFRT using predominantly a volumetric modulated arc therapy (VMAT) lattice technique.
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- The study analyzes survival outcomes for laryngeal cancer patients in the Northern UK who received non-curative treatment, revealing critical data for informed patient decision-making.
- Involving 373 patients, the research found that the mean survival time was 9.1 months, with variations based on disease stage and type.
- This pioneering work emphasizes the importance of understanding prognosis in non-curative settings, aiding discussions around treatment options for patients.