Sepsis Burden in a Major Romanian Emergency Center-An 18-Year Retrospective Analysis of Mortality and Risk Factors.

Sepsis is a leading cause of morbidity and mortality worldwide, yet data from Central and Eastern Europe remain scarce. Our study aims to address the scarcity of information regarding the characteristics and mortality rates of patients with sepsis by reporting recent data from one of the largest emergency centers in Romania over an 18-year period (2007-2024). A retrospective analysis was conducted on 12,089 adult patients diagnosed with sepsis at the University Emergency Hospital of Bucharest.

Machine Learning Models in Sepsis Outcome Prediction for ICU Patients: Integrating Routine Laboratory Tests-A Systematic Review.

Sepsis presents significant diagnostic and prognostic challenges, and traditional scoring systems, such as SOFA and APACHE, show limitations in predictive accuracy. Machine learning (ML)-based predictive survival models can support risk assessment and treatment decision-making in the intensive care unit (ICU) by accounting for the numerous and complex factors that influence the outcome in the septic patient. A systematic literature review of studies published from 2014 to 2024 was conducted using the PubMed database.

Gastro-Intestinal Bleeding in COVID-19 Patients - Is There Any Causal Relation?

The novel Severe Acute Respiratory Syndrome Coronavirus-2 has put an enormous pressure on health systems around the world. The large number of severe cases that had symptoms seemingly unrelated to the respiratory system, continues to create confusion. The digestive tract is not spared either.