Clinical Research Directory

Correlating MicroRNA Changes With Sepsis Outcomes

This trial studies how changes in microRNAs may correlate with sepsis outcomes. Sepsis is a type of severe infection of the blood stream, and its diagnosis may be obscured by many other conditions such as surgery, trauma, and cancer. MicroRNAs are biomarkers found in the blood and tissue. Blood samples may help correlate changes in microRNA expression to patient reactions to a sepsis infection.

Acid Base Disorders in ICU in Minia University Hospital

Data extracted from records of patients in the ICU regarding type and frequency of acid base disturbance that led to their admission to the ICU and correlation with 28-day mortality.

A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning

In this study, the investigators will deploy a software-based clinical decision support tool (eCARTv5) into the electronic health record (EHR) workflow of multiple hospital wards. eCART's algorithm is designed to analyze real-time EHR data, such as vitals and laboratory results, to identify which patients are at increased risk for clinical deterioration. The algorithm specifically predicts imminent death or the need for intensive care unit (ICU) transfer. Within the eCART interface, clinical teams are then directed toward standardized guidance to determine next steps in care for elevated-risk patients. The investigators hypothesize that implementing such a tool will be associated with a decrease in ventilator utilization, length of stay, and mortality for high-risk hospitalized adults.