“…Large administrative data analyzed by the SEPSIS-3 authors suggested that a qSOFA score of ≥ 2 would rapidly identify non-ICU patients “more likely to have poor outcomes typical of sepsis,” defined as in-hospital mortality > 10%, with an area under the receiver operating characteristic (AUROC) curve of 0.81 (compared to 0.76 for the SIRS criteria; p = 0.01) 1 , 15 . The authors concluded that the new definitions should “facilitate earlier recognition and more timely management of patients with sepsis or at risk of developing sepsis 1 .” Since this assertion in 2016, numerous authors have analyzed the usefulness of qSOFA in retrospective and prospective cohorts at different points in the care continuum from pre-hospital 16 , 17 to initial triage 18 – 20 to the period of ED management 20 , 21 to in-patient wards and the ICU 15 ; have looked at it as a screening tool for all patients presenting to the ED 22 or for those with suspected infection 23 , 24 ; have investigated dynamic changes in qSOFA during ED stay 20 , 25 ; have analyzed its accuracy as a predictor of ICU admission, length of stay, and in-hospital mortality 26 ; have tried to improve the performance of qSOFA by add various biomarkers including lactate 27 , 28 , procalcitonin 29 , monocyte distribution width 30 , and CRP combined with mid-regional proadrenomedullin 31 or vital sign measures including heart rate variability 32 , EtCO 2 33 , and shock index 19 ; have examined its utility in high and low resource settings 27 , 29 , 34 ; and have compared it to other scoring systems including SIRS, MEWS, NEWS, and conventional SOFA 35 , 36 . All of these studies provide important clinical information and have various limitations mainly related to the data sets used, the presence or absence of serial qSOFA values, the clinical setting where the studies were performed, and the overall mortality of the cohorts.…”