Diseases, Conditions, Syndromes

Machine learning may help in early identification of severe sepsis

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 presented at the 2017 American ...

Diseases, Conditions, Syndromes

Study highlights risks of sepsis

A new study from researchers at the University of Alabama at Birmingham analyzing three different methods for characterizing sepsis has helped to illustrate the risk of death or severe illness attributable to the condition. ...

Diseases, Conditions, Syndromes

Quick SOFA score predicts in-hospital mortality risk

(HealthDay)—For patients with suspected infection presenting to the emergency department, the quick Sequential Organ Failure Assessment (qSOFA) score is better than systemic inflammatory response syndrome (SIRS) or severe ...

Immunology

Compromised immune system can be re-activated

Failure of the immune system during blood poisoning (sepsis) can be reversed by a specific sugar. This restores the ability of immune cells to respond effectively to infections. This week, researchers from Radboud University ...

Health

Big data model improves prediction of key hospital outcome

More than half of hospital deaths in the United States are related to severe infections, or sepsis. Yale researchers developed a prediction model, drawing on "big data" about local patients and using machine-learning methods, ...

Diseases, Conditions, Syndromes

Delirium, muscle weakness among overlooked symptoms of sepsis

Delirium, muscle weakness and other neurological complications of sepsis often are overlooked and poorly understood, according to a study published in the journal Current Neurology and Neurosciences Reports.

page 3 from 7