• Intern Emerg Med · Jun 2020

    Prospective evaluation of the quickSOFA score as a screening for sepsis in the emergency department.

    • Monika Loritz, Hans-Jörg Busch, Thomas Helbing, and Katrin Fink.
    • Department of Emergency Medicine, Medical Center, University Hospital of Freiburg, Faculty of Medicine, University of Freiburg, Sir-Hans-A.-Krebs-Str., 79106, Freiburg im Breisgau, Germany.
    • Intern Emerg Med. 2020 Jun 1; 15 (4): 685-693.

    AbstractIn 2016, the new bedside tool quick Sequential (Sepsis-related) Organ Failure Assessment (qSOFA) was presented to identify patients at high risk of developing sepsis or adverse outcome. The aim of this study was to investigate the diagnostic performance of the qSOFA scoring system as a screening in patients presenting at an emergency department (ED) of any cause. Therefore, we compared qSOFA with the systemic inflammatory response syndrome (SIRS) criteria and two modifications of qSOFA score. This is a prospective single-center study including patients presenting to the ED of any non-traumatic cause. Primary outcome was development of sepsis within 48 h, secondary outcomes were 30-day mortality and ICU stay for > 3 days. Data were collected within one hour after arrival to indicate an impression of initial medical contact. Among 1,668 patients, 105 sepsis cases were identified. 8.4% presented with qSOFA ≥ 2, 27.2% with SIRS ≥ 2 within one hour. Sensitivity of qSOFA in predicting sepsis was lower compared to the SIRS criteria. qSOFA showed better prognostic accuracy for 30-day mortality compared to SIRS (p < 0.05), but not for prolonged ICU stay (p = 0.56). Modification of qSOFA in replacing GCS by other scoring systems recording altered mental status did not improve its sensitivity. The qSOFA score has poor sensitivity to identify patients at risk of developing sepsis and can therefore not be considered as an adequate screening for sepsis in patients presenting to the ED. Furthermore, a positive qSOFA at arrival at the ED showed no sufficient reliability in detecting patients with adverse clinical course.

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