Publications by authors named "D J D'Elia"
Article Synopsis
- This study examines the impact of starting PCSK9 inhibitors (PCSK9i) at the time of hospitalization for acute coronary syndrome (ACS) on lipid levels and cardiovascular (CV) events in a real-world setting.
- It analyzed data from 771 ACS patients, revealing that a significant 68.3% achieved the target LDL-C of < 55 mg/dL within a median of 37 days after hospitalization.
- Results showed that lower LDL-C levels were associated with reduced risks of major cardiovascular events, suggesting that early and aggressive lipid management with PCSK9i is both safe and beneficial for ACS patients.
Article Synopsis
- - A patient with a brain abscess was admitted to the hospital, highlighting challenges in effective treatment due to limited drug options that can penetrate the central nervous system.
- - The team opted to use ceftobiprole, which has strong anti-streptococcal properties and is available for therapeutic drug monitoring at the hospital.
- - To enhance the drug's effectiveness, they administered ceftobiprole through a prolonged intravenous infusion and closely monitored its levels in the patient's plasma and cerebrospinal fluid.
Article Synopsis
- Over the past few decades, bioprosthetic heart valves have become more common than mechanical valves in surgical aortic valve replacements, but structural valve deterioration is a frequent issue that may require further intervention.
- * The innovation of valve-in-valve transcatheter aortic valve replacement (ViV TAVR) has emerged as a practical solution for patients with failed bioprosthetic valves, especially those at high surgical risk.
- * This review highlights the importance of multidisciplinary planning, current clinical evidence, procedural techniques, and potential complications to optimize ViV TAVR outcomes for both surgical and transcatheter heart valve failures.
Although metagenomic sequencing is now the preferred technique to study microbiome-host interactions, analyzing and interpreting microbiome sequencing data presents challenges primarily attributed to the statistical specificities of the data (e.g., sparse, over-dispersed, compositional, inter-variable dependency).
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