Publications by authors named "G Bertozzi"
: A large amount of recent evidence suggests that cellular inability to consume oxygen could play a notable part in promoting sepsis as a consequence of mitochondrial dysfunction and oxidative stress. The latter could, in fact, represent a fundamental stage in the evolution of the "natural history" of sepsis. Following a study previously conducted by the same working group on heart samples, the present research project aims to evaluate, through an immunohistochemical study, the existence and/or extent of oxidative stress in the brains of subjects who died due to sepsis and define, after reviewing the literature, its contribution to the septic process to support the use of medications aimed at correcting redox anomalies in the management of septic patients.
View Article and Find Full Text PDF: Healthcare facilities are complex systems due to the interaction between different factors (human, environmental, management, and technological). As complexity increases, it is known that the possibility of error increases; therefore, it becomes essential to be able to analyze the processes that occur within these contexts to prevent their occurrence, which is the task of risk management. For this purpose, in this feasibility study, we chose to evaluate the application of a new safety walkaround (SWA) model.
View Article and Find Full Text PDFThis study aims to analyze post-mortem human cardiac specimens, to verify and evaluate the existence or extent of oxidative stress in subjects whose cause of death has been traced to sepsis, through immunohistological oxidative/nitrosative stress markers. Indeed, in the present study, i-NOS, NOX2, and nitrotyrosine markers were higher expressed in the septic death group when compared to the control group, associated with also a significant increase in 8-OHdG, highlighting the pivotal role of oxidative stress in septic etiopathogenesis. In particular, 70% of cardiomyocyte nuclei from septic death specimens showed positivity for 8-OHdG.
View Article and Find Full Text PDFArticle Synopsis
- - The text discusses how healthcare systems are complex organizations where factors like environment, technology, and care quality are interconnected, impacting patient safety, which emphasizes the need for enhanced clinical risk management programs that can benefit from artificial intelligence (AI).
- - A systematic review conducted on November 3, 2023, identified 36 relevant studies from an initial pool of 297 articles, categorizing AI applications in clinical risk management into three main incident types: clinical processes, healthcare-associated infections, and medication errors.
- - The review concludes that while AI shows promise in improving patient safety and risk management, it still requires human oversight to ensure effective implementation, as it cannot fully replace human expertise.
Background: COVID-19 caused by SARS-CoV-2 virus is characterized by respiratory compromise and immune system involvement, even leading to serious disorders, such as cytokine storm.
Methods: We then conducted a literature review on the topic of sepsis and covid-19, and in parallel conducted an experimental study on the histological finding of patients who died from SARS-Covid 19 infection and a control group.
Results: Sepsis associated with covid-19 infection has some similarities and differences from that from other causes.