Context: We recently derived and validated a multi-biomarker-based model (ASSIST) to stratify patients with sepsis based on initial mortality risk.
Objective: The objective of this study was to compare the performance of ASSIST to interleukin-6 (IL6) and procalcitonin (PCT).
Methods: The area-under-the-receiver operating characteristic curve for predicting 28-d mortality using ASSIST was compared with that of IL6 (n = 452) and PCT (n = 235).
Results: The area under the curve for ASSIST was greater than that of IL6 and PCT.
Conclusions: ASSIST estimated the probability of mortality more reliably than IL6 and PCT in this cohort of patients with sepsis.
Keywords: Biomarkers; decision tree; modeling; outcome; sepsis; stratification.