Publications by authors named "A R Bonfigli"
Article Synopsis
- - The study explores in-hospital mortality risk factors for older patients (60+) during the COVID-19 pandemic, emphasizing the ongoing impact of COVID-19 as endemic disease, particularly for those with multiple health issues.
- - Utilizing data from the Gerocovid-acute wards, researchers incorporated 71 variables into a machine learning platform to identify key prognostic factors affecting mortality, avoiding selection bias and enabling extensive model testing.
- - The analysis revealed that, alongside traditional health metrics, pre-COVID-19 mobility emerged as a critical predictor of in-hospital mortality, highlighting its importance in risk assessment for older patients.
In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Large Language Models (LLMs) within the biomedical domain, a field that poses unique challenges due to its complexity and the specialized nature of its data. Building on the foundation laid by the transformative architecture of Transformers, we investigate the nuanced dynamics of LLMs through a multifaceted lens, focusing on two domain-specific tasks, i.e.
View Article and Find Full Text PDFArticle Synopsis
- The study focused on the relationship between Torquetenovirus (TTV) levels, inflammation markers, and the risk of Ischemic Heart Disease (IHD) in older adults, revealing limited research on this topic.
- Findings from 900 non-IHD participants and 86 IHD individuals indicated that elevated TTV viremia was a significant predictor of IHD risk, particularly in males and in conjunction with other health factors like diabetes and smoking.
- The research suggests that high TTV levels are linked to increased inflammation and may contribute to IHD risk through mechanisms related to aging and immune response deterioration.
Article Synopsis
- Systemic inflammation raises the risk of mortality in hospitalized older patients, especially in the context of age-related diseases and infections like COVID-19.
- Inflammatory biomarkers such as the C-reactive protein to albumin ratio (CAR) and various prognostic scores (GPS, mGPS, hs-mGPS) effectively predict short-term mortality but are often underused for this purpose.
- The study involving 3,206 geriatric patients found that higher CAR and higher GPS scores significantly correlated with increased mortality risk, especially in men, indicating that these inflammatory markers can help assess in-hospital mortality risk in older adults.