A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

October 26, 2010 — Older adults who survive an episode of severe sepsis may be left with substantial and enduring cognitive impairment and functional disability, according to results of a study in the ...

Purpose. The efficacy and safety of granulocyte colony-stimulating factor (G-CSF) in critically ill patients with severe sepsis or septic shock were evaluated. Summary. The medical literature was ...

Background: We sought to screen for clinical and laboratory features of hemophagocytic lymphohistiocytosis among pediatric patients with severe sepsis. Methods: We conducted a retrospective study that ...

A simple blood test can tell doctors when it is safe to stop antibiotics in patients recovering from sepsis, a review led by ...