Septic shock prediction algorithms in the critically ill

Septic shock prediction algorithms in the critically ill

Severe sepsis and septic shock remain major causes of mortality in both ICU and generally in the acute hospital population. With up to 10% of all ICU admissions suffering sepsis, and up to 1 in 4 in hospital deaths resulting from infection, it remains an ever present issue in acute healthcare, despite advances in recent years. The current study by Datarwe research partners [at the Gold Coast University Hospital in collaboration with Griffith University and GE Healthcare] will describe the characteristics of currently available sepsis prediction algorithms in ICU patients, as applied retrospectively to the adult patient database. Algorithms available to date have only been tested in limited environments, and thus elucidating their utility in a wider environment will be critical to their more widespread acceptance.