Derivation of a screen to identify severe sepsis and septic shock in the Emergency Department-BOMBARD vs. SIRS and qSOFA

This study looks to predict severe sepsis/septic shock in ED patients. The authors conducted a retrospective case-control study of patients ≥18 admitted to two urban hospitals with a combined ED census of 162,000. Study cases included patients with severe sepsis/septic shock admitted via the ED. Controls comprised admissions without severe sepsis/septic shock. Using multivariate logistic regression, a prediction rule was const ructed - BOMBARD. The model ' s AUROC was internally validated using 1000 bootstrap samples. BOMBARD was more accurate than SIRS and qSOFA at predicting severe sepsis/septic shock and sepsis mortality.
Source: Current Awareness Service for Health (CASH) - Category: Consumer Health News Source Type: news