The Integration of qSOFA with Clinical Variables and Serum Biomarkers Improves the Prognostic Value of qSOFA Alone in Patients with Suspected or Confirmed Sepsis at ED Admission.

BACKGROUND: The prognostic value of quick sepsis-related organ failure assessment (qSOFA) outside intensive care units has been criticized. Therefore, we aimed to improve its ability in predicting 30-day all-cause mortality, and in ruling out the cases at high risk of death among patients with suspected or confirmed sepsis at emergency department (ED) admission. METHODS: This study is a secondary analysis of a prospective multicenter study. We built three predictive models combining qSOFA with the clinical variables and serum biomarkers that resulted in an independent association with 30-day mortality, in both 848 undifferentiated patients (Group 1) and in 545 patients definitively diagnosed with sepsis (Group 2). The models reaching the highest negative predictive value (NPV) with the minimum expenditure of biomarkers in Group 1 and in Group 2 were validated in two cohorts of patients initially held out due to missing data. RESULTS: In terms of the area under the receiver-operating characteristic curve, all six models significantly exceeded qSOFA in predicting prognosis. An "extended" qSOFA (eqSOFA1) in Group 1 and an eqSOFA2 integrated with C-reactive protein and mid-regional proadrenomedullin (eqSOFA2+CRP+MR-proADM) in Group 2 reached the best NPV (0.94 and 0.93, respectively) and ease of use. eqSOFA1 and eqSOFA2+CRP+MR-proADM performed equally well in both the inception and validation cohorts. CONCLUSIONS: We have derived and validated two prognostic models that outweigh qSOFA in predicting mortality and in identifying the low risk of death among patients with suspected or confirmed sepsis at ED admission.

Procalcitonin in early rule-in/rule-out of sepsis in SIRS patients admitted to a medical ward.

BACKGROUND: A relevant amount of patients with clinical suspect of sepsis is admitted and treated in medical wards (MW). These patients have a better prognosis but are older and with more comorbidities compared to those admitted to intensive care units (ICU). Procalcitonin (PCT) is extensively used in emergency departments for the diagnosis of sepsis, but its accuracy in the setting of a MW has not been thoroughly investigated. Predicted low PCT levels also call for the comparison of immunomagnetic-chemiluminescent (L-PCT) and time-resolved amplified cryptate emission (TRACE, K-PCT) technologies, in PCT determination. METHODS: In 80 patients with systemic inflammatory response syndrome (SIRS) diagnostic criteria and suspect of sepsis newly admitted to a MW, PCT was determined with L- and K-PCT method. RESULTS: Sixty patients were diagnosed as sepsis (20 microbiologically and 40 clinically proven) and 20 with non-infective SIRS. The sepsis group had significantly higher levels of both PCTs, with no differences between the clinically and microbiologically proven subgroups. The areas under ROC curves for L- and K-PCT were 0.72 and 0.78 (p<0.001 for each), respectively. Based on MW customized cut-off values of 0.150 (L-PCT) and 0.143 ng/mL (K-PCT), overall accuracies were 66.8 (95% CI 58.7-78.9) and 78.2% (69.8-87.2), respectively, compared to the 55% (44.2-66) of 0.5 ng/mL canonical cut-off. Neither PCT-L nor -K held prognostic value on survival. CONCLUSIONS: In MW patients, customized PCT cut-off levels provide better accuracy than customary levels adopted from ICU, and TRACE technology seems to offer a wider analysis range.