Publications by authors named "Marinela Sinziana Tudor"
The utilization of evolutive models and algorithms for predicting the evolution of hepatic steatosis holds immense potential benefits. These computational approaches enable the analysis of complex datasets, capturing temporal dynamics and providing personalized prognostic insights. By optimizing intervention planning and identifying critical transition points, they promise to revolutionize our approach to understanding and managing hepatic steatosis progression, ultimately leading to enhanced patient care and outcomes in clinical settings.
View Article and Find Full Text PDFMetabolic dysfunction-associated fatty liver disease (MAFLD) is a new term that no longer excludes patients that consume alcohol or present other liver diseases, unlike nonalcoholic fatty liver disease (NAFLD). The aim of this study was to evaluate the role of different biomarkers as predictors of MAFLD in patients with type 2 diabetes mellitus (T2DM). In this regard, a cross-sectional, non-interventional study was conducted over a period of 8 months in patients with T2DM.
View Article and Find Full Text PDFArticle Synopsis
- Nonalcoholic fatty liver disease (NAFLD) is linked to metabolic syndrome, where insulin resistance (IR) plays a key role, and this study aimed to explore the relationship between IR (using the triglyceride and glucose index) and liver damage in NAFLD patients.
- The study involved 113 patients with metabolic syndrome, measuring fasting glucose, lipid profiles, and liver enzymes, while liver biopsies assessed steatosis and fibrosis.
- Results showed the TyG index was higher in overweight and obese patients, indicating a strong association with the severity of NAFLD, making it a useful predictor for identifying individuals at risk for the disease.