A targeted real-time early warning score (TREWScore) for septic shock

Sepsis is a leading cause of death in the United States, with mortality highest among patients who develop septic shock. Early aggressive treatment decreases morbidity and mortality. Although automated screening tools can detect patients currently experiencing severe sepsis and septic shock, none predict those at greatest risk of developing shock. We analyzed routinely available physiological and laboratory data from intensive care unit patients and developed "TREWScore," a targeted real-time early warning score that predicts which patients will develop septic shock. TREWScore identified patients before the onset of septic shock with an area under the ROC (receiver operating characteristic) curve (AUC) of 0.83…

• NS
  National Science Foundation

  Award: ID 1232825
• GA
  Gordon and Betty Moore Foundation
• G
  Google

  Award: ID 1202463721
• WS
  Whiting School of Engineering, Johns Hopkins University